Top 30 Advanced Raspberry Pi projects ideas in 2025

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List of Top 30+ Raspberry Pi projects ideas

List of Top 30+ Raspberry Pi projects ideas

By Aislyn Technologies Pvt Ltd | March 31, 2025

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 2023-2024. 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 3 Model 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.

IEEE Projects on Raspberry pi python projects
1.AN AUTOMATIC DRIVER DROWSINESS ALERT SYSTEM BY USING GSM AND RASPBERRY PI
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.

5.Design and Implementation of Automated Blood Bank using Embedded Systems
Automated Blood Bank is an associate work that brings voluntary blood donors and those in need of blood on to a common platform. The mission is to fulfill every blood request in the country with a promising android application and motivated individuals who are willing to donate blood. The proposed work aims to overcome this communication barrier by providing a direct link between the donor and the recipient by using low cost and low power Raspberry Pi B+ kit.

It requires Micro USB of 5V and 2A power supply only. Entire communication takes place via SMS (Short Messaging Service) which is compatible among all mobile types. "Automated Blood Bank" is an project that brings voluntary blood donors and those in need of blood on to a common platform. This project aims at servicing the persons who seek donors who are willing to donate blood and also provide it in the time frame required.

Automated Blood Bank tries to assist victims/patients/those in want of blood. It is an endeavor to achieve dead set these people in want of blood and connect them to those willing to donate. The proposed work explores to find blood donors by using GSM based Smart Card CPU –Raspberry Pi B+ Kit. The vision is to be “The hope of every Indian in search of a voluntary blood donor”.

6.EURIDICE – IoT applied to Logistics using the Intelligent Cargo Concept
In an interconnected world, the need to exchange information across domain's boundaries is increasingly common, the concern is rapidly moving towards defining the content that needs to be consumed by numerous and different actors using different platforms and/or software solutions, since the internal processes have been consolidated and optimized.

The transport logistics sector is no exception, the main issue in this domain is for ICT applications that allow to tag, monitor and transmit information about the freight along the whole transport chain, thus guaranteeing an efficient communication among the supply chain actors for a prompt intervention and resolution in case of problems and in general to increase the transport efficiency. The paper will present the technical aspects of the solutions developed within the EURIDICE project and will link them to the concrete in-field applications that make the platform a great innovation and a step towards the realization of the Future Internet

7.Monitoring and controlling of smart equipments using Android compatible devices towards IoT applications and services in manufacturing industry
The ever increasing requirements for information being accessible at any time, from any place, regardless the type of remote device or planned operation, together with the need of complete control of a specific scenario or device has paved the way towards the next technological revolution: Internet of Things (IoT) and led to several major research projects.

Within this paperwork the authors’ vision regarding the architecture of an IoT network and an experimental testing bench for one of the first steps leading towards implementing the IoT vision is briefly introduced.The first part presents an overview of the Internet of Things. In the second part, authors’ concept regarding an architecture for IoT and the vision towards implementation it into manufacturing environments are presented.

The third part illustrates the implementation and testing of the chosen solution for connectivity between a smart equipment and Android compatible devices. In the last part, conclusions are highlighted and the roadmap regarding to concept implementation isdefined. Simulation shows proposed protocol performance gains is better over the LEACH for lifetime of network and guaranteed data transmission.

8.Pibot:The Raspberry Pi Controlled Multi- Environment Robot For Surveillance & Live Streaming
In today's world, everyone is worried about their safety due to increase in crime rate. This has led to an increase in the importance of surveillance systems In this project raspberry pi is used to make a robot which in turn is used to make a real time surveillance system possible within a local network. The live streaming is accomplished by using the jpeg streamer and the server-client model is made using java

9.Design and operation of Wi-Fi agribot integrated system
Robotics in agriculture is not a new concept; in controlled environments (green houses), it has a history of over 20 years. Research has been performed to develop harvesters for cherry tomatoes, cucumbers, mushrooms, and other fruits. In horticulture, robots have been introduced to harvest citrus and apples. In this paper autonomous robot for agriculture (AgriBot) is a prototype.

10.Design & development of daughter board for Raspberry Pi to support Bluetooth communication using UART
Reliable and secured communication between two or more devices require wired connection. A wireless communication such as - Bluetooth, WI-Fi, ZigBee etc. provides flexible and inexpensive solution for remote applications. A large number of low cost hardware platforms such as Raspberry Pi, Arduino, mbed boards etc. are available that do not provide any inbuilt wireless module but are eq... View more

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 wit...

12.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.

13.Big Data Infrastructure for analyzing data generated by Wireless Sensor Networks
The rapid pace of technological advances in recent years has enabled a significant evolution and deployment of Wireless Sensor Networks (WSN). These networks are a key player in the so-called Internet of Things, generating exponentially increasing amounts of data. Nonetheless, there are very few documented works that tackle the challenges related with the collection, manipulation and exploitation of the data generated by these networks.

This paper presents a proposal for integrating Big Data tools (in rest and in motion) for the gathering, storage and analysis of data generated by a WSN that monitors air pollution levels in a city. We provide a proof of concept that combines Hadoop and Storm for data processing, storage and analysis, and Arduino-based kits for constructing our sensor prototypes.

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 transceiver 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 post-graduate 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 dependant 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.
Energy and Water Use Energy and water supply consumption monitoring to obtain advice to reduce the cost and conserve resources.
Remote Control of Appliances switching on and off remotely appliances to avoid accidents and save energy.
Intrusion Detection Systems
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.
Smart Grid
Energy consumption monitoring and management.
Tank level Monitoring of water, oil and gas levels in storage tanks.
Solar plants Installations.
Monitoring and optimization of performance in solar energy plants.
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.

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