Raspberry PI Projects

Raspberry PI Projects Ideas

  • September 26 2023
  • Bhimsen

Raspberry Pi projects ideas

Raspberry pi 4 Projects using python

Best and Raspberry pi 4 projects For Learning IoT and other projects for ECE ,CSE students, Engineering students, beginners,in short it is also called pi projects.

The Raspberry Pi is a great platform for building the Internet of Things project: It's best for learning about the IoT. Here are the top projects to help you to build skills and gain good hands-on exposure. IoT was one of the top trending technologies in 2014. According to a Gartner prediction of 26 billion it-enabled devices in the world by 2020-2021.

So, need to get started quickly on your own IoT-project? You can develop cool projects based on IOT like IOT based home automation, Industrial automation, water quality monitoring and management, Smart Cities, and how IoT applications can be used to monitor pollution. It devices could automatically, send alerts to weather stations. Here you have the opportunity to build the latest Raspberry pi IoT projects. 

For beginners we have set of a good number of projects you can try which will also help you to develop raspberry pi programming skills. Try our simple which is very useful for engineering students for experimentation and learn python programming. Final year project based on raspberry pi is the best to enhance the skills in both python programming and microcontroller hardware development skills. we have best in all applications so that engineering students of ECE,CSE,EEE,ISE will gain good exposure to build real-time IOT projects.

The Internet of Things (IoT) is the hottest topic in the Information Technology domain. Every organization wants to participate in the IoT, and many IT professionals want to know how to add IoT skills to their resume. One of the key learning platforms for IoT is Raspberry Pi, and we can build great ideas which are very useful for day to day applications.
Here there is one more amazing version Raspberry Pi 3Model B+ where you can try projects, the updated microcontroller which boasts a faster processor and improved wireless specs. Pi Zero projects to try baking today. From beginner builds to more advanced Pi uses, all the ideas you need are right here.

Please follow the link for :

IEEE Projects on Raspberry pi and Raspberry pi python projects


Drowsy is the reason for most of the road accidents. Manually tracing the drowsy driver is not an easy task, because every day thousands of vehicles are running on the roads. So we need a system that must come with every car and if it detects the sleepy driver it must stop the vehicle immediately. 

In addition to this if the driver is slept the vehicle will be stopped, and it monitors the heartbeat, Respiration rate and temperature of the driver and displays it in the LCD. These three parameters are very important because it shows the body status of the driver.These parameters are monitored manually and in case of emergency the in-charge of the ward calls the doctor.

This paper also discusses the various ways in which drowsiness can be manipulated in a simulated environment. The proposed system is used to avoid various road accidents caused by drowsy driving and also this system used for security purpose of a driver to caution the driver if any fire accident or any gas leakage .

This paper involves avoiding accident to unconsciousness through Eye blink. Here one eye blink sensor is fixed in vehicle where if driver lose his consciousness, then it alerts the driver through buzzer to prevent vehicle from accident. The alcohol and temperature sensor are used for further safety system in the vehicle.

Development of a hybrid microcontroller for a vehicle which also consists of an alcohol and temperature detector which will sense if the driver is drunk and would not start the vehicle. A complete study on road safety is going to be the next boom for the automobile industry for it to flourish and survive every human from the risk. The main advantage of this paper is the accuracy of using physiological parameters to detect drowsiness is really high. This helps in preventing most of the road accidents that occur due to fatigue.


2.A Smart System Connecting e-Health Sensors and the Cloud

This paper presents the design and implementation of an e-health smart networked system. The system is aimed to prevent delays in the arrival of patients’ medical information to the healthcare providers, particularly in accident and emergency situations, to stop manual data entering, and to increase beds capacity in hospitals, especially during public events where a large number of people are meeting in one place.

The architecture for this system is based on medical sensors which measure patients physical parameters by using wireless sensor networks (WSNs). These sensors transfer data from patients’ bodies over the wireless network to the cloud environment. Therefore, patients will have a high quality services because the e-heath smart system supports medical staff by providing real-time data gathering, eliminating manual data collection, enabling the monitoring of huge numbers of patients.


3.Computer Vision Based Vehicle Detection for Toll Collection System Using Embedded Linux

Many highway toll collection systems have already been developed and are widely used in India. Some of these include Manual toll collection, RF tags, Barcodes, Number plate recognition. All these systems have disadvantages that lead to some errors in the corresponding system This paper presents a brief review of toll collection systems present in India, their advantages and disadvantages and also aims to design and develop a new efficient toll collection system which will be a good low cost alternative among all other systems.

The system is based on Computer Vision vehicle detection using OpenCV library in Embedded Linux platform. The system is designed using Embedded Linux development kit (Raspberry pi).In this system, a camera captures images of vehicles passing through toll booth thus a vehicle is detected through camera. Depending on the area occupied by the vehicle, classification of vehicles as light and heavy is done.

Further this information is passed to the Raspberry pi which is having web server set up on it. When raspberry pi comes to know the vehicle, then it access the web server information and according to the type of the vehicle, appropriate toll is charged. This system can also made to count moving vehicles from pre-recorded videos or stored videos by using the same algorithm and procedure that we follow in this paper


4.Design of a Home Multi-Robot System for the Elderly and Disabled

Home-based assistive robotic care for the elderly and disabled has long been a goal of robotics researchers Unfortunately, no single group has solved the problem of making robots that will perform a set of tasks sufficient enough to warrant the cost to the end consumer.

Numerous advances and improvements in computing, communication and related robotic technologies have been paving the way towards cheaper, more capable robots. We propose a home robot system consisting of a set of heterogeneous robots with different task spaces, cloud computing to enhance the abilities of the system, integration with existing home infrastructure, and compatibility with mobile technology.

A high level of integration with the open source software of the Robot Operating System (ROS) is proposed to accelerate the design process. For the exact types of robots, we propose to use an enhanced floor cleaning robot and a mobility and vision assistance robot in the form of an improved rollator walker. 


11.Development of cloud based light intensity monitoring system using raspberry Pi

Accurate and quantifiable measurement of light is essential in creating desired outcomes in practical day to day applications as well as unique applications such as Traffic lighting system, Poultry Industry, Gardening, Museum lighting system, at emergency exits etc. Hence, Light measurement and analysis is an important step in ensuring efficiency and safety. Many of the industries are burdened.


13.An Arduino Based System Provided with GPS/GPRS Shield for Real Time Monitoring of Traffic Flows

In the past, few Public Administrations provided traffic monitoring services in real time due to the high cost of the car traffic monitoring system. The paper aims at proposing a low cost system based on the GPS signals coming from Arduino based systems to collect the traffic measurements needed to compute colored traffic map and the minimum path to the destination depending on the current position.

The comparison carried between the performance of the proposed system and the one based on GPS signals coming from the user mobiles points out a higher accuracy of Arduino based tracking system. Also the system may send the user data to the main information center as anonymous messages thus satisfying the privacy requirements needed for a wide activation of such a monitoring methodology.


14.Controlling an Arduino Robot using Brain Computer Interface

The ability to acquire Electroencephalogram (EEG) signals from the brain has led to the development of Brain Computer Interfaces (BCI), which capture signals generated by the physical processes in the brain and use them to control external devices. In this paper, we establish an application to control a robot on the Arduino platform by the use of a BCI system, which does not require training for individual users.

We present the design and development of a BCI processing pipeline built on open-source platforms using the Emotiv EEG headset. Our system achieves around 96% accuracy using computationally inexpensive feature extraction and classification techniques, namely, band power and Support Vector Machines (SVM). We are also able to guide a robot’s movement efficiently using multiple intents


15.Design of Small Smart Home System Based on Arduino

Smart Home is applied in order to provide comfort, energy efficiency and better security. Smart Home System is still rarely used in Indonesia because of the cost and the difficulty of getting the device. The objective of this paper is to offer a Small Smart Home System designed and created by utilizing WLAN network based on Arduino microcontroller.

The system is able to monitor and control lights, room temperature, alarms and other household appliances. Results from testing the system show proper control and control monitoring functions can be performed from a device connected to a network that supports HTML5.


16.A CAN Protocol based Embedded System to Avoid Rear End Collision of Vehicles

Driver & passenger safety is one of the prime concerns in modern day vehicle. Alarming statistics of accidents and increased number of vehicles on road demands for an intelligent safety mechanism that helps the driver in handling immediate precarious situations like sudden probability of a rear end collision The work processes the mechanism that not only computes the deceleration of vehicle due to braking and displays the breaking intensity through an array of LED but also involves monitoring the breaking intensity levels and communicate it to the vehicles that are following in the lambertian range of IR transmitter module to avoid any collision pre hand due to any situation that may arise and cause intermediate deceleration of the vehicle ahead.

An ARM cortex mo microcontroller will be interfaced with an accelerometer that senses the deceleration level, a LED array to display the braking intensity and an IR transreceiver module for inter vehicle communication that would transmit pulses whose frequency is modulated proportional to the braking intensity level.

To take decision & automatically control the motion of the following vehicle, a collision avoidance system consisting of Cortex Mo microcontroller is implemented that warns the driver using a buzzer & messages the active and passive safety mechanisms to be activated using Can protocol and takes control decisions according to the algorithm designed to handle the situation


17.Development of An Arduino-Based Automated Household Utility Power Monitoring System

This work develops an automated household utility power monitoring system and data logging in real-time. It utilizes the Arduino Uno Rev3 Microcontroller board intended for use in conjunction with the ATmega328 chip. For monitoring these parameters, it will be connected to a current transformer through the current and voltage sensor circuit.

The system will convert these raw data to digital input for data acquisition and will log these to an SD card by the SD/MMC shield module for data retention in case of power failures. The system is also equipped with DS1307 serial RTC (Real-Time Clock) chip which is responsible for providing real time clock and date needed in the data logging operation.

Results and findings indicated that the device has indeed successfully performed its desired function as an automated household utility power monitoring system. As such it will display in real-time, the consumed average power in watt along with its price. This will serve as an assessment parameter in order to measure the acceptability, performance relative to functionality, and marketability of the accomplished technology.


 18.Design and Development of Sensor-Based Mini Projects for Embedded System Laboratory Using ARM Cortex-M3( LPC1768 )

In majority of Indian Universities, advanced courses on embedded system design and its related laboratory are not available until the postgraduate level. Early exposure to embedded system design with advanced microcontroller is necessary for computer science and engineering students to face the design challenges in the today’s world.

This paper presents a mini project based laboratory for learning embedded system design with different sensors. The aim of this laboratory is to motivate the students to learn the building blocks of embedded systems and control algorithm using the basic hardware and software programming skills provided in this paper, making use of ARM Cortex-M3 processor which is widely used in modern microcontroller products, System on Chip (SoC) and Application Specific Standard Products (ASSP).

To enhance the learning process, students are allowed to take this laboratory in three sessions and sensor interfacing projects are provided in the third session. The sensor based projects developed with schematic circuits and software algorithm makes the students to perform all the projects easily and individually.

The components including programmer/debugger are inexpensive and can be implemented as take-home projects. It also provides an opportunity to make use as hands-on experience which is then integrated by students to complete their mini project. The feedback from the students shows that most of them were motivated to learn actively all the skills included in the laboratory for embedded system design.


19.Emergency Clinic Multi-Sensor Continuous Monitoring Prototype Using e-Health Platform

Technology advancement and low cost device development may address the challenges faced in most emergency clinics in developing countries. Surveillance and detection of disease very much dependent on the medical practitioners whom has been constrained by the number of patients and limited automation in patient monitoring.

In this study a low cost Arduino supported e-Health platform based temperature, pulse oximeter and air flow sensors incorporated multisensory kit integrated with the Matlab platform for continuous recording supported by graphical display and timely average by customize setting has
been designed. The prototype accuracy and limitations have been tested by a data collection experiment designed for 15 candidates, both healthy male and female aged between 21 to 52 years old. The recorded SPO2 and pulse rate was clinically reliable reading compared to temperature sensor which was influenced by room temperature, which need some modification to the sensor design.

Air flow was provided stable outcome in all subjects. The proposed emergency clinic, multisensory prototype is expected to address the continuous monitoring limitations and provide average reading at clinically required setting based on the criticality of patient condition and disease monitoring guideline


20.Mind-Controlled Wheelchair using an EEG Headset and Arduino Microcontroller

Improving the quality of life for the elderly and disabled people and giving them the proper care at the right time is one the most important roles that are to be performed by us being a responsible member of the society. It’s not easy for the disabled and elderly people to maneuver a mechanical wheelchair, which many of them normally use for locomotion.

Hence there is a need for designing a wheelchair that is intelligent and provides easy maneuverability. In this context, an attempt has been made to propose a thought controlled wheelchair, which uses the captured signals from the brain and eyes and processes it to control the wheelchair. Electroencephalography (EEG) technique deploys an electrode cap that is placed on the user’s scalp for the acquisition of the EEG signals which are captured and translated into movement commands by the arduino microcontroller which in turn move the wheelchair


21.Web Based Service to Monitor Automatic Irrigation System for the Agriculture field Using Sensors

The paper describes the automatic irrigation system using the Arduino microcontroller with grove moisture sensor and water flow sensor. The communication will be established using the Zigbee protocol and the control will be sent based on the moisture level of the soil using Arduino microcontroller .

The two xbee radius's used in the network will be treated as master and slave in combination with the Arduino microcontroller. depending on the value of the moisture level water flow will be allowed in the pipe and the flow range, water pressure will be updated along with the time in a database and also displayed in the web portal. The owner of the agricultural field can anytime check the moisture level and the motor status. The motor’s functionality status will also be a sent to the farmer’s mobile using GSM


22.Congestion Aware Load Balancing for Multiracial Wireless Mesh Network

Smart Cities are considered recently as a promising solution for providing efficient services to citizens with the use of Information and Communication Technologies. With the latest advances on the Internet of Things, a new era has emerged in the Smart City domain, opening new opportunities for the development of efficient and low-cost applications that aim to improve the Quality of Life in cities.

Although there is much research in this area, which has resulted in the development of many commercial products, significant parameters like reliability, security and privacy have not been considered as very important up until now. The newly launched FP7-SmartCities-2013 project RERUM aims to build upon the advances in the area of Internet of Things in Smart Cities and develop a framework to enhance reliability and security of smart city applications, with the citizen at the center of attention.

This work presents four applications that will be developed within RERUM, gives a general description of the open reliability and security issues that have to be taken into account and gives an overall view of the solutions that RERUM will develop to address these issues.


23.Smart Drip Irrigation System using Raspberry pi and Arduino

This paper proposes a design for home automation system using ready-to-use, cost effective and energy efficient devices including raspberry pi, arduino microcontrollers, xbee modules and relay boards. Use of these components results in overall cost effective, scalable and robust implementation of system.

The commands from the user are processed at raspberry pi using python programming language. Arduino microcontrollers are used to receive the on/off commands from the raspberry pi using zigbee protocol.Star zigbee topology serves as backbone for the communication between raspberry pi and end devices. Raspberry pi acts a central coordinator and end devices act as various routers. Low-cost and energy efficient drip irrigation system serves as a proof of concept.

The design can be used in big agriculture fields as well as in small gardens via just sending an email to the system to water plants. The use of ultrasound sensors and solenoid valves make a smart drip irrigation system. The paper explains the complete installation of the system including hardware and software aspects. Experimental set-up is also tested and explained for an automatic drip irrigation system to water 50 pots


24.Web based Automatic Irrigation System using wireless sensor network and Embedded Linux board

This paper presents an automation of farm irrigation system using a wireless sensor network (WSN) and embedded Linux board. The system provides a web interface to the user so that the user can control and monitor the system remotely. In this paper, Raspberry Pi is used as an embedded Linux board which is designed based on the arm 11 microcontroller architecture.

Embedded Linux board makes the communication with all distributed sensor nodes placed in the farm through ZigBee protocol and itself act as a coordinated node in the wireless sensor network. The goal of coordinator node is to collect the parameters like soil moisture and soil temperature wirelessly.

Each sensor node consists of soil moisture and soil temperature sensor and one ZigBee RF antenna device for communication with the coordinator node. Raspberry Pi stores collected data in the database and analyzes the stored data. The system will work according to the algorithm developed for watering the crop.

The board has an Ethernet interface and runs the simple data web server. Hence coordinator collects the data over ZigBee wireless communication protocol and allow user to monitor the data from a web browser. User can make the irrigation system ON or OFF remotely. The system will reduce the water consumption and giving uniform water to the crop results in increasing yield.


25.A Framework for Environmental Monitoring with Arduino-based Sensors using Restful Web Service

The Nevada Solar Energy-Water-Environment Nexus project generates a large amount of environmental monitoring data from variety of sensors. This data is valuable for all related research areas, such as soil,atmosphere, biology, and ecology.

An important aspect of this project is promoting data sharing and analysis using a common platform. To support this effort, we developed a comprehensive architecture that can efficiently collect the data from various sensors, store them in a database, and offer an intuitive user interface for data retrieval.

We employed Arduino-based sensors due to their flexibility and cost-effectiveness. Restful Web Service is used for communication with the Arduino-based sensors, and Google Charts service has been used for data visualization. This framework for sensor data monitoring with Web Service is expected to allow the Nevada Nexus project to seamlessly integrate all types of sensor data and to provide a common platform for researchers to easily share the data


26.An Agricultural Telemetry System Implemented Using an Arduino-Android Interface

The research aims to create a wireless telemetry system to be used in the field of agriculture. The Arduino microprocessor was used in conjunction with sensors to measure environmental factors namely the temperature, humidity and soil moisture. Two methods were created in storing the data in the database.

The first method is a more direct approach and is limited to scenarios when Wi-Fi connection is available. Data is sent directly to the server via Wi-Fi. The second approach is used when Wi-Fi is not available since data is sent to another android phone via SMS. The second android phone is responsible for sending data to the database.

The data collected were compared with actual sensors and past data recorded by PAGASA to test for the accuracy of the system. The identification of each plant could easily be verified since a certain code was attached for each sample. The latitude, longitude and pictures of the samples were recorded in the database via the methods described above.


27.Design of an embedded based control system for efficient sorting of waste plastics using Near Infrared Spectroscopy

In this paper we present an embedded system solution to automate the sorting of different types of plastic by using the concepts of Near Infrared Spectroscopy (NIRS). Plastics are everyday used non-biodegradable materials when not disposed properly has adverse effects on the environment.

For recycling of plastics different types of plastics (polymers) have to be identified and segregated. For economic reasons plastics must be identified and sorted instantaneously. The NIRS technique has been used for the instantaneous identification of plastics. Measurements made by NIRS are quite accurate and fast.

To realize the above, a low cost Raspberry Pi based Control System, for efficient sorting of waste plastics has been developed. The necessary software required to interface the spectrometer with the Raspberry Pi as well as to process the NIRS data to obtain information on the polymer category have been written on the general-purpose, high-level programming language Python.


28.A plug-n-play internet enabled platform for real time image processing

A plug-n-play internet enabled platform for real time simulation of image processing algorithms (like CNN) is demonstrated on the Bit by Bit platform. The prototyping platform uses Raspberry Pi, thereby enabling collaboration and sharing of the image processing simulation experiments and results over the internet. These algorithms can be applied to the real time captured images and results are displayed instantly over the internet or via email.


29.Automobile black box system for accident analysis

Automobiles and computing technologies are creating a new level of data services in vehicles. The Automobile Black Box has functions similar to an airplane black box. It is used to analyze the cause of vehicular accidents and prevent the loss of life and property arising from vehicle accidents.

This paper proposes a prototype of an Automobile Black Box System that can be installed into vehicles. The system aims to achieve accident analysis by objectively tracking what occurs in vehicles. The system also involves enhancement of security by preventing tampering of the Black Box data. In addition, the Black Box sends an alert message to a pre-stored mobile number via Short Message Service (SMS) in the case of occurrence of an accident.

The proposed system makes use of 12 sensors to record the various driving data parameters. The Raspberry Pi controller (RPi) and Arduino controllers are used to regulate these sensors. The data received from the sensors are stored on the SD card mounted on RPi for retrieval after the accident. The system uses external sensors such as camera and Global Positioning System (GPS) to collect video and location data.


30.WSN for traffic monitoring using Raspberry Pi board

This paper introduces low-cost non-intrusive sensory that can collect traffic data based on Raspberry Pi single board computer. Image information acquired by Raspberry Pi HD camera module is analyzed for moving objects presence. After evaluation of detected object count, size, class and motion vector object properties are sent to server node by RF transceiver. Sensor low-power consumption ensures possibility to operate from battery for an extended period of time.


31.An Internet of things approach for motion detection using Raspberry Pi

Internet of things is the communication of anything with any other thing, the communication mainly transferring of use able data, for example a sensor in a room to monitor and control the temperature.

It is estimated that by 2020 there will be about 50 billion internet-enabled devices. This paper aims to describe a security alarm system using low processing power chips using Internet of things which helps to monitor and get alarms when motion is detected and sends photos and videos to a cloud server.

Moreover, Internet of things based application can be used remotely to view the activity and get notifications when motion is detected. The photos and videos are sent directly to a cloud server, when the cloud is not available then the data is stored locally on the Raspberry Pi and sent when the connection resumes. Therefore, advantages like these make this application ideal for monitoring homes in absence.


32.Wireless sensor network communication terminal based on embedded Linux and Xbee

In this paper, raspberry Pi is used as an embedded Linux board which is used as a communication terminal in wireless sensor network. Raspberry pi uses ARM 11 system structure of the microcontroller in which Linux operating system can install in it.

The embedded Linux board connects the entire sensor node via zigbee protocol in the wireless sensor network and collects sensors data from the sensors. This board continuously collects all the real time data from different sensor nodes a save in the raspberry pi board which can be accessed remotely on more than one client's computer.

Thus we design the application which can group a large number of data based on the embedded Linux system platform. It could reduce the power consumption of the wireless sensor node; meanwhile, it improves the quantities of data processing ability and strengthens the data transmission speed.


33.WiFiPi-Tracking at mass events

To track the crowd at mass events, real time data of people is required. By observing people and gathering the data in the desired context, more realistic tracking can be achieved. This paper presents a method of tracking the people without active cooperation of the object.

Here this method works by scanning at different locations with the help of WiFi interface on visitors object. This method can be implemented using a low cost Raspberry Pi device. Raspberry Pi is recently become very popular. This method allows tracking of number of peoples and has many applications in different areas.


34.The development of a data acquisition system based on internet of things framework

The rapidly development in the devices technology as well in the communication technology offers the facilities to development the electronics system. Data acquisition system is the most electronics system which is used in the large area of application i.e process parameter monitoring in industry, health monitoring, and water monitoring.

Recently there is a requirement to do the long distance monitoring. Therefore remote monitoring based on web which is known as internet of things (IoT) framework is a choice. In this work has been designed an implemented a data acquisition system based on internet of things framework. The system used a raspberry Pi as processor. It offers a small dimension and portable system. The data monitoring is possible by web browser and can be access via web browser devices i.e computer, laptop, or smart mobile phone.


Some of the project ideas for all categories are as below and projects to try yourself.

  • Voice controlled Home automation using Amazon Alexa on Raspberry Pi and Raspberry pi3.,
  • Temperature and Humidity Sensor Data to AWS - IoT using Raspberry Pi and Raspberry pi3.
  • Web Controlled Home Automation using Raspberry Pi.
  • DIY Web Controlled Raspberry Pi Surveillance Robotic Car.
  • Raspberry Pi Weather Station: Monitoring Humidity, Temperature and Pressure over the Internet.
  • RFID and Raspberry Pi-Based Attendance System.
  • Smart parking system using Raspberry Pi 3.
  • IOT-Raspberry Pi based air quality monitoring project.
  • IOT- Raspberry Pi-based home automation project.
  • IOT –Raspberry Pi based industrial automation.
  • IOT -Raspberry pi based cat feeder using IOT.
  • Raspberry Pi based IOT gateway.

Top projects on IOT(internet of things)to try yourself using Raspberry Pi 4 and Raspberry Pi 3.

1) Smart agriculture systems using internet of things using Raspberry Pi 

Smart Agriculture platform can be used to monitor different environmental parameters related to agriculture such as temperature, humidity, soil temperature/humidity, weather station, leaf wetness and many other parameters. The monitoring of these parameters allows to minimize time and money as well as maximize agriculture results.we can also automate the agriculture farms for efficient management and control.

2) IOT based Home automation solutions using Raspberry Pi.

  1. Energy and Water Use Energy and water supply consumption monitoring to obtain advice to reduce the cost and conserve resources.

  2. Remote Control of Appliances switching on and off remotely appliances to avoid accidents and save energy.

  3. Intrusion Detection Systems

  4. Detection of windows and doors, openings and violations prevent intruders

3) IOT -e-health monitoring for elders using Raspberry Pi. 

The e-Health Sensor platform allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using 10 different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, electrocardiogram (ECG), glucometer, galvanic skin response (GSR - sweating), blood pressure (sphygmomanometer), patient position (accelerometer) and muscle/electromyography sensor (EMG).

4) IOT based Smart metering solutions using Raspberry Pi.

  1. Smart Grid

  2. Energy consumption monitoring and management.

  3. Tank level Monitoring of water, oil and gas levels in storage tanks.

  4. Solar plants Installations.

  5. Monitoring and optimization of performance in solar energy plants.

  6. Water Flow Measurement of water pressure in the water

5) IOT based Smart Water Sensors monitor water quality 

in rivers, lakes and the sea using Raspberry Pi. Smart Water wireless sensor platform to simplify remote water quality monitoring. Equipped with multiple sensors that measure a multiple of the most relevant water quality parameters, Smart Water is the water quality-sensing platform to feature autonomous nodes that connect to the Cloud for real-time water control.

we can design Smart Water is suitable for potable water monitoring, chemical leakage detection in rivers, remote measurement of swimming pools and spas, and levels of seawater pollution. The water quality parameters measured include pH, dissolved oxygen (DO), oxidation-reduction conductivity (salinity), turbidity, temperature, etc.

6) IOT based Smart water monitoring solutions for cities and villages using Raspberry Pi.

This complete water quality monitoring solution combines the solutions and capabilities To retrieve the water quality data and transmit it to the cloud platform and the data received, and analytics are applied to transform data for generating reports and to provide the information to the end user.

7) A Smart City project to monitor water quality, Air Quality and Urban Traffic.

As per the research report, a present increase of respiratory and other related diseases is due to air pollution, as well as the increase of various chronic illnesses which really affect the quality of the human life. To overcome it is necessary to monitor the emission levels. The highest percentage of air pollution comes directly from road traffic compare to large industries, currently placed outside metropolitan & urban areas. Loss of environmental quality is one of the biggest threats of our century to health and human well-being.

Top 16 Connected IoT Projects designed using Raspberry Pi and Raspberry Pi 3 model B 2018

IoT Devices are increasingly smarter and more intelligent to fulfill the challenges of the day- to day requirement. Consumer products like home automation, wearable devices for athletics, factory automation, smart city applications, and health care products are the need of the hour.This year products with voice integration are becoming popular, and IOT products announced support for AMAZON and Google assistant and companies are adding AI features into their smart devices, as these devices eventually will learn the various patterns to perform multiple tasks on their own.

1) Intelligent bicycle with IOT . 

This bike will have multiple features like GPS navigation,geo-location,anti-theft features,fully automated smart headlights with light and dark sensors for auto on/off,Android app for settings and controls.

2) IOT lamp for elderly assistance. 

This lamp shall have motion detectors to help the elders who get up in the middle of the night, auto on-off of light, auto notification features are added in case of fall and more frequent visits to the bathroom. This device is handy for caretakers to monitor the elders.

3) IOT Voice based Smart Ceiling Fan Switch. 

The intelligent switch functions with voice commands on Amazon Alexa,Google assistant,this Wi-fi enabled fan controller allows the user to adjust fan’s speed and light with voice commands .This project is beneficial for patients with least movements,elderly persons for smooth operation.

4) IOT Remote bell. 

This is a smart remote bell that allows the user to answer their doors; this is having features like they can respond even if they are not home,it has a built-in motion sensor that detects the movement, it streams live video to user’s phones. Using the Android app, we can communicate two way of answering the doors.

5) IOT based Smart lock. 

Very use the full device, by using a smartphone they can pair via Bluetooth for locking and unlocking their doors. safe access can be achieved with password/fingerprint. This device can be integrated with home automation solutions.

6) IOT Smart Mirror. 

The smart mirror is a concept to help the consumers to take advantage of their available time in updating themselves about the traffic, weather, current news, they even can shop,that means that while you are on makeup. IOT smart mirror is embedded with ALEXA to receive the voice commands to perform the tasks.

7) IoT Applications for Agriculture. 

Due to population growth and demand for resources are overgrowing, water shortage is a significant threat to agriculture Population growth and limited resources put pressure on growers to produce more with less. Farmers must contend with increasing water shortages, limited land availability, and fluctuating costs. Telit enables innovative smart farming solutions to help farmers overcome these challenges. These agriculture IoT solutions allow farmers to leverage sensors, intelligent gateways, and monitoring systems to collect and analyze information and make more informed decisions.

8) IOT based Crop and livestock marketing.

 Develop a data-driven approach to farming As the world’s population increases, there is a higher demand for food and a surge in development. With a decrease in the amount of land available for farm use and an ever-growing concern about water resources, farmers need to be smart about their crop and livestock management if they want to reduce waste and cut overall costs. The Internet of Things (IoT) is making it possible for farmers/growers to optimize their crop yields and promote livestock health through remote monitoring and data-driven decision making.

9) Support livestock health through real-time monitoring. 

With the support of IoT technology, we can design a solution for monitoring the health of the livestock,which is a significant concern for farmers as they lose a considerable amount of profit due to animal illness. Connected sensors in the animals wearable’s collect the data like heart rate,blood pressure,temperature,digestion, etc.,data streamed to the cloud helps the farmers to analyze and take a precautionary measure to control specific diseases. IOT solutions are constructive for the farmers to track the animal location and also monitor the reproductive cycles for safe and successful outcomes.

10) IOT based smarter water management. 

While there are many factors that impact the health and quality of the harvest, water is perhaps one of the most vital. Irrigation management plays a crucial role in ensuring that crops are getting the right amount of water at the right time. The Internet of Things (IoT) is making it easier for farmers to monitor and control water resources to meet demand while also reducing waste and cutting operational costs.

11) IOT based Control water resources to meet the demand.

Using IoT technology we can effectively control water wastage and plan the water requirement for the crops and collect the real-time water usage data through remote sensing which further helps to make smarter decisions.

  1. Trigger actions based on sensor data to switch water on and off, depending on irrigation needs and level of resources.
  2. Use insights gathered from data to prevent misuse and underutilization of water resources.
  3. Quickly detect leaks and faults in pipelines to address issues immediately and reduce water waste.
  4. Improve the efficiency of your crop yields
  5. Smart irrigation helps growers improve the efficiency and consistency of their return by enabling more intelligent water management:
  6. Stay on top of changing conditions across rural environments by tracking temperature, rainfall, humidity, and wind with smart sensors.
  7. Remotely measure and monitor water moisture levels in the soil to ensure that crops are getting optimal water resources.
  8. Automatically trigger sprinkler systems to address low moisture levels in the soil to prevent crop damage or loss.
  9. Capture valuable data to indicate trends and make forecasts based on a variety of conditions to meet crop demands.

12) IoT Applications for Automotive & Transport. - Fleet management services. Fleet management, you can get real-time information about vehicle operation to:

  1. Optimize routes and increase productivity.
  2. Regulate fuel costs.
  3. Lower operational expenses.
  4. Improve driver safety.
  5. Increase fleet security.
  6. Remotely diagnose maintenance requirements.
  7. Improve the customer experience

Rental car organizations use vehicle telematics to provide excellent customer service and emergency services. Insurance companies can use data to analyze to check the driving patterns, monitor safe driving and plan the car insurance premiums based on the proper driving behavior. car companies use the telematics data for remote diagnostics,remote monitoring, safety services which help to provide better customer service and build a good relationship with customers.

13) Raspberry pi IoT projects/solutions for smarter energy consumption and management. --- Intelligent metering IOT solutions.

  1. Increase energy efficiency and reduce environmental impact.
  2. Smart metering is one of the critical features in the intelligent grid that helps to reduce energy consumption and environmental issues.by collecting and uploading the real-time data of energy usage which will help the service providers to optimize energy distribution while also facilitates the consumers to smarter decisions about the energy usage.with robost
  3. IOT solution, we can improve the better customer service.
  4. With smart metering solutions, consumers and the distribution company will have access to abundant,real-time data which enables both customers and vendors to provide better service by reducing the cost
  5. Manage manual operations remotely to improve efficiency and reduce operational costs.
  6. Use real-time data to effectively balance electric loads and reduce power outages.
  7. Streamline energy distribution through more accurate forecasting.
  8. Enable dynamic pricing by raising or lowering costs based on real-time demand.
  9. Help consumers make better decisions about the usage of energy and to smarter decisions about the usage by using the IOT technology.timely Feedback can be provided to all the consumers about the energy consumption using the real-time data that improves the transparency on monthly energy bills.

14) IOT based Smart grid solutions.

  1. IOT based Smart grid solutions will help to meet growing demands for electricity across the world:
  2. Key benefits include Optimized generation and distribution which allows suppliers to serve larger customers base.
  3. Integration of renewable energy sources and flexible distribution systems, suppliers can optimize system operations and increase efficiency.
  4. It lowering operational and maintenance costs, smart grid systems enable suppliers to pass cost savings onto the consumer,improve the user energy consumption and customer experience,
  5. Delivering electricity more efficiently and cost-effectively to consumers by providing better control over their use.

15) IOT Smart manufacturing industry 4.0

The Industrial Internet of Things (IIoT) is revolutionizing manufacturing. With this concept, we can achieve complete operational visibility to allow for real-time decision making and improved levels of quality and efficiency as well as new service opportunities. --- 16) Enhance asset availability and performance. 

In the factory environment equipment or machine, downtime can be costly; consumers demand higher levels of machine reliability and performance. For manufacturers (OEMs), recurring equipment failure can also signal design flaws and potential safety issues. Industry 4.0 using IoT technology Predictive maintenance is changing the way that manufacturers provide field service by allowing them to use real-time machine data and analytics to assess machine health and plan the corrective action.

The massive amount of money can be saved by preventing unplanned downtime by adding sensors to machines/ equipment to monitor the health where some of the downtime parameters can be predicted for servicing; Manufacturers can analyze the data and precautionary measures for keeping the uptime or any malfunctions of machines Maximize the equipment uptime and schedule the maintenance by predictions using the data of the machine. 
Thus resource management would become more comfortable by sending the technicians with the right kind of spares for repair. Improve product quality and reliability to enhance customer satisfaction. --- IoT Supply chain management. Effective supply chain management is one of the critical areas to manage some sensitive goods which needed end-to-end visibility of raw materials and finished products at all stages of production and delivery.

The Internet of Things (IoT) solutions will provide an accurate answer for the producers to optimize output and safeguard delivery to increase efficiency and enhance customer service. IT will help to make quick decisions based on the demands of the market and environmental conditions, planning the warehouse spaces Monitor the health status of raw materials and goods in transit and the securely access the inventory which helps to prepare demand and supply. Cold chains management using IOT helps to maintain perishable shipments to meet the customer requirement and industry regulations.


16) IOT for Smart building management. 

It is necessary to adopt the latest technologies to improve the efficiency in managing the infrastructure, which helps to reduce the operating cost,improve the occupancy services, maintenance of the building. IOT solutions are very affordable, and it will make it easier to monitor from remote locations. --- IoT Applications for Smart Buildings.

  1. Make surveillance simple.
  2. IOT smart surveillance and security.
  3. IOT based solution will help the building owners to manage and control surveillance devices remotely and make decisions for the best course of action.
  4. Collect and analyze data to make necessary improvements to security processes and systems. Prevent loss of critical assets
  5. Greater visibility over who enters and leaves a facility in real-time.
  6. Consistently and securely monitor facility conditions from any location with Wi-Fi access.
  7. Essential security alerts delivered right to their mobile device.

Best kits to get you started on the Internet of Things and hardware hacking

Following are the Kits which helps you design your conceptual idea into reality, and it helps you quickly begin the work.If you've ever wanted to design your IOT based home automation, a security system for your house, you want to develop an automatic feeder for your pets, agriculture automation, smart street lights, etc.. IoT devices are everyday items with added sensors, motors, and other electronics, which are connected to online services to analyze the data they collect.

1) Media IoT Starter Kit

is one the best kit to develop the various applications for IoT(Internet of things). Produced by IBM and ARM, the package provides developers with a low-power ARM-based board along with compatible sensors, LEDs, and other electronics. This board can be connected to the IBM Internet of Things Foundation, IBM Bluemix offers services to analyze, store, and visualize collected data, as well as to send commands back to the device based on the information it receives.Using it, we can use various application platforms.

2) Raspberry Pi 3 Starter Kit for IOT(Includes Raspberry Pi 3 Model B)

The Raspberry Pi 3 Starter kit is an excellent source for all IOT(internet of things project,all you need to get your hands dirty with your projects. Includes the new Pi 3 with 64 Bit computing! With integrated WiFi and BLE, your IoT projects just got a lot easier and smarter! Quad Core Broadcom BCM2837 64-bit ARMv8 processor with 1.2Ghz of computing power.

The board is WiFi ready and no more jutting-out-WiFi-Adapters. The board also sports a BLE making it a perfect fit for any IoT projects. Raspberry Pi is a low-cost card-sized computer. It was made in the United Kingdom by the Raspberry Pi Foundation with the motive of providing primary computer and electronics knowledge to institutions at a lower cost. 

This kit was launched in the market in 2011 to promote them to upgrade the skills in basic programming and build DIY projects.It is an excellent platform for enthusiasts, students and professionals.

we have a good list of innovative projects that can be build using Raspberry Pi ,our best ideas will be an inspiration for students of BE,Mtech,MCA students,Engineers, Researchers. Here we can support the community with regular training and project guidance. We have identified and researched the best projects ideas based on Raspberry Pi which can be useful for engineering students in completing their Graduation or academics successfully.


Raspberry pi Robot projects.

 1.Raspberry Pi based Robotic project-Smart Robot Car. Features


  1. NTELLIGENT CAR – The R Pi Smart Car is an intelligent car
  2. SPEECH RECOGNITION CONTROL – CPU of the robots based on Raspberry Pi, integrates speech recognition function of STT , TTS and servo & motor control.
  3. LINE FOLLOWING AND OBSTACLE AVOIDANCE - Supports line following and obstacle avoidance with the ultrasonic and line follower modules.
  4. GPIO PORTS - Several pin headers reserved for you to install more sensors for function extension.2

2. IOT-Web controlled Raspberry Pi based video Robot WI- fi with Android App/live video streaming. 

This is self-learning Robotic kit using Raspberry pi .The car control can be realized on a PC with Linux system, or you may also apply it in a Linux virtual machine.,MJPG-streamer is applied for image capturing and video transmission in a real-time manner.

You may view the video by web browser on any device. Firefox and Google Chrome are recommended. web controlled surveillance robot using raspberry pi and a webcam.In this Robot Project, we are mainly using Raspberry Pi, USB web camera and two DC motor with Robot chassis to build this Robot. Features.


  • This is a complete learning kit based on Raspberry Pi with Android App..
  • The Raspberry Pi 3 used as CPU to control with WI-FI ,control using The kit uses a step-down DC-DC converter module to reduce input voltage and a motor driver module with L298N. Also a webcam is included with a USB Wi-Fi adapter so you can check the video in a real-time manner on your PC or cell phone.
  • On the PC, you can control the car move forward/backward and turn left/right, as well as control the camera to turn vertically and horizontally so as to capture the image in different directions

3. Construct a simple moving robot project with a Raspberry Pi .


This is a fun project to build a simple robot using the Raspberry Pi. This robot is one of the simplest robots you can build and uses two DC motors to control a pair of wheels. A swivel caster in the front holds the robot up, and the Raspberry Pi with drivers to controls the motors. There are no sensors or other inputs to the robot, it will just follow a set of instructions in Python code that tell the robot how to move.

Use this project as a starting point for your own amazing Raspberry Pi robot projects! You could add sensors to detect objects around the Pi, add a camera to get a robot's eye view of the world, or even connect the robot to web services that control its actions--there's almost no limit to what you can do with this amazing robot! To build this project it will help to familiarize yourself with using the Raspberry Pi..

4. Line Follower Robot using Raspberry Pi 3 ,DC motors,sensors.


5. Humanoid Robot using Arduino. 



  • HUMANOID ROBOT - The sloth walk with two legs, you can program on it to change its gestures and directions.
  • LEARN TO CODE EASILY - You can learn how to code faster and easier than ever with visual programming language software, or Arduino code.
  • OBSTACLE AVOIDING- With the "eyes" (ultrasonic), it can avoid obstacles intelligently
  • CUTE AND FLEXIBLE – It can do various movements flexibly, like alternate speed and alternate left and right feet.
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