Here is the list of the top 30 Best Raspberry Pi Project Ideas for Engineering Students brought to you by Listyaan. Raspberry Pi Project Ideas for B-Tech, M-Tech & Ph.D. students.
The Raspberry Pi is a small, inexpensive computer the size of a credit card that connects to a computer display or TV and operates with a regular keyboard and mouse. With the help of this competent small gadget, individuals of all ages may learn about computing and how to write in languages like Scratch and Python. The goal of this essay is to quickly explain the top 30 Raspberry Pi-based project ideas.
The technology uses a temperature and humidity sensor to measure the humidity and temperature of the surrounding air. Rain is detected via a rain sensor.
The data and system status are shown on an LCD monitor. Arduino is used in this system to detect sensors, and a Raspberry Pi is used to transmit data online.
A touch-screen computer that is not in your house or pocket but rather is worn on your wrist For gauging anyone’s temperature at any time, it also has an embedded contactless temperature sensor.
In addition, we give it a contactless lidar distance sensor, which lets users measure anything anyplace. A Raspberry Pi controller, a battery, a touch screen display, a lidar sensor, and a temperature sensor are all combined and fitted in a small package over a wrist strap to create the wearable computer. This results in an intelligent, portable wearable computer.
With this approach, large water bodies may easily have their water quality checked. Data on water quality may be recorded and sent to an IOT server online with this RC water pollution sensor boat. This will make it easier for us to keep the water clean.
A motorized propeller system provides the forward propulsion for this project, which is remote-operated and controlled by an RC remote control. A servo motor arrangement provides the steering via a rudder.
A dc power source powers the system electronics, which powers the purifier. A microphone is used by the Raspberry Pi controller to pick up user commands. By speaking “Purifier Turn On” and “Purifier Turn Off,” the user may start or stop the purifier.
The user has the option of asking the purifier to announce the degree of pollution in the space right now. Upon receiving this instruction, the system uses the speaker to inform the user of the current PM2.5 and air quality values. The system uses a speaker to talk or play music for the user and a microphone to pick up voice commands from the user.
This smart speaking system enables mute people to talk to non-mute people by using hand gestures and movements. The system makes use of a speaker unit, a hand motion reading device, and motion and flex sensors. Battery-operated circuitry is used to power this system.
The system interprets user hand gestures for various hand movement variants. Additionally, it has a trigger sensor that detects when someone wants to engage the system and talk. As a result, the system will not talk when the user is only performing unconscious hand gestures. Sensor input values are continuously received and processed by the raspberry pi CPU.
A completely automated doorbell system is possible with the raspberry pi system. The system uses a raspberry pi controller to oversee every aspect of the operation. We hereby utilize a camera module to record any approaching individuals on video and in still photos.No button has to be pressed by the user.
Any individual approaching the door is caught on video, and facial recognition software is utilized to determine whether or not the person is registered in the system.
The technology enables the owner to view a live image of the door front whenever they want by pressing a button on the IOT interface. Additionally, the device enables users to sound an alert or alarm at the door to notify neighbors of any issues or attempted break-ins.
A single motor is used for depth/direction control in addition to two motors for propulsion in the RC drone. This method uses a special rudderless mechanism with motor drives to control the drone’s 360-degree movement.
Ballast tanks are not used in this system to regulate buoyancy. His motor is utilized in conjunction with the other two motors to lower or raise the drone. All motors and the controller are contained inside a watertight compartment.
The drone currently records underwater video using a camera. The user may connect through wifi to the floating buoy unit to see the footage when it has received the transmission. The setup uses a raspberry pi controller for wifi transmission and the transfer of video.
The technology makes use of a mask monitor and a contactless temperature reader. If a high temperature or lack of a mask is found, a human barrier is immediately attached to the scanner to prevent admission. Entry won’t be granted to anyone without a temperature and mask scan.
The only person who meets both requirements gets admitted right away. The system employs a raspberry pi computer to operate the temperature sensor, camera, and overall functionality.
This drone combines a video camera and a thermal camera to capture images of close-up solar panels, electrical towers, and thermal scans. A controller is used by the drone to regulate flight and provide long-range control. To broadcast and receive control orders from the user’s RC remote, it uses an RF transmitter and receiver frequency.
The thermal sensor, which has a limited resolution, can be used to detect thermal heating problems near items. Raspberry Pi is used to record the thermal sensor video for subsequent viewing. The process of heat screening is therefore automated, and safety is increased.
The operational electronics and controller for this system, which comprises a camera and speaker combo, are based on the Raspberry Pi. For the sake of the test subject, a keypad and button interface with the controller are employed.
The technology completely separates the test subject from the user and automates the registration procedure to speed up and ensure accuracy.
The Raspberry Pi now uses motor drivers to drive the required motion by user directions. For scanning the environment, thermal cameras and night vision cameras that employ infrared light are used.
For real-time viewing via the RC tank, the controller wirelessly streams live video from the cameras onto the user’s Android mobile. When the robot is stationary and in motion detection mode, the controller also continuously scans the camera video to look for motion.
A novel approach of automatically watching two individuals in a crowded setting that does not adhere to social distance rules Considering the two meters that separate them. It continually queues and monitors social distance-violating activities using the tail-tracking approach.
To track infractions, the infrared sensor swings the stern left and right. Another ultrasonic sensor is used by the robotic vehicle to measure the separation between two persons. The robot quickly beeps and warns of injuries when there are fewer than two meters between humans.
The AI cocktail maker machine enables simple touchless drink creation as requested by the user. To build the machine, we utilize a raspberry pi controller in this case. It has 3 x Alcohols: Vodka, Whiskey, and Rum, and 3 x Drinks: Cola, Water, and Juice, totaling 6 input drinks.
A pre-fed menu with a variety of cocktail cocktails makes up the system. Each drink mix is already included in the system. So, when a particular cocktail drink is chosen, the system measures out a specified quantity of input drinks and pours them into the glass with the cocktail.
The robot is an IOT-based device that can care for your pets by itself at home. The robot has a built-in camera that enables live broadcasting through an IOT platform to obtain on-demand home video. The robot goes much beyond simple surveillance since you can move it about your home whenever you want and control it online.
This enables you to stay close to your animals wherever you go. Additionally, the robot has a speaker built in so you can call your dogs or cats when it’s time for food or yell at them when they misbehave.
The technology uses a camera to identify someone standing in front of the trash can. If a human is found, the system speaks audio directions to the user telling them which bin to put their trash in. If the trash can is full, the user is advised to find another trash can to dispose of their trash in.
It utilizes a Raspberry Pi controller to build this system. For detection and communication, the controller is interfaced with a camera and a speech speaker. Utilizing ultrasonic level sensors with integrated LED indicators, the controller receives feedback on the dustbin level. The level sensors are used to continuously send bin levels to the Raspberry Pi.
To verify that the entire robot functions, a raspberry pi board was used in the creation of the robot. A 4-wheel drive and an RF remote are used to remotely operate the robot. Additionally, the bot features a top portion for holding goods that can only be accessed by the designated receivers.
This anti-theft device removes the possibility of any robot thefts and guarantees delivery that is human-like. A speaker on the robot allows it to converse with customers and emits a sound when it approaches a door. Along with a siren system, the speaker is also used to create noise in the event of a theft attempt.
With the help of this initiative, monitoring may be provided in dangerous locations like border regions and terrorist hotspots without endangering human lives. In this project, a 360-degree night vision camera is used for surveillance, and raspberry pi is controlled via an Android Bluetooth app.
The camera offers a live feed of the footage it records, which is also viewable through an android app. The camera app offers full 360-degree rotation for comprehensive monitoring and has a feature for recording both audio and video.
The Raspberry Pi-powered Spy robot chassis is connected to a Bluetooth module that interacts with an android app to send the chassis direction commands.
The goal of this project is to design and develop a driver drowsiness detection system that uses image processing to determine whether the driver is feeling tired or sleepy. If the driver’s eyes are closed for more than 20 seconds, the system’s speaker will sound an alert, averting a collision.
The Raspberry Pi is used to power this cutting-edge system, which also includes a vibration motor, touch screen display, GSM/GPRS module, and battery. This system is portable and is powered by a rechargeable battery through a batt.
In the Dial interface, there will be an option to enter the number and subsequently dial that number. There is also an option to view contacts and from the contact list itself, we can dial or send an SMS to a particular number. Additionally displayed on the screen is the battery level.
The facial recognition-based auto-starting technology replaces the ignition by substituting a particular user’s face for the key. The Raspberry Pi circuit powers this smart car system. The face detection system snaps many pictures of the subject and records the information in its database.
When a face is detected by the camera during scanning, the system compares the face with images in the database and authorizes the person. If the person is already registered, the vehicle starts; otherwise, the system recognizes the person as an invalid user, and the buzzer sounds, denying access and stopping the motor.
With almost little light loss and significantly higher productivity, this technology creates holographic projections through expected images through refraction through the interference design. Such holographic projections are made possible by this technology, which is based on a Raspberry Pi controller.
To create the appropriate 3D hologram, part live videos are provided via a display to the projector setup. This frame is made to display a picture in a three-dimensional form utilizing a clear pyramid frame that is precisely tailored to reflect the image.
The Raspberry Pi is now equipped with a gesture sensor board that allows it to recognize human motions and move projections forward or backward without ever touching the display.
Barcodes would be applied to rubbish bags in this waste management vending machine; the barcodes would indicate whether the garbage was recyclable or needed to be disposed of.
Then, these bags are put on a conveyor, where a barcode reader scans them along the way to identify the type of garbage they contain.
At the end of the conveyor, a servo motor arrangement pushes the bags into the appropriate bins, where the non-recyclable waste is disposed of, the recyclable waste’s weight is calculated, and the user is given a sum corresponding to that weight.
The Raspberry Pi and IOT gecko are used in this setup to operate the door lock. Every time someone rings the bell in this system, the camera records an image of that individual, which the smart lock system subsequently sends to the iot gecko website.
The choice of either opening the door or leaving it locked will be accessible once the image has been submitted to the iot gecko website. The system will unlock the door if the individual grants permission to enter; otherwise, the door will stay locked and the system will voice out and show the message “Access Denied“ and display it on the screen.
People with disabilities may travel comfortably thanks to this cutting-edge solution. Patients with paralysis or limb disabilities have trouble getting about. This system uses a Raspberry Pi as its power source and includes a servo motor, RF, GSM, GPS, and graphical LCD and RF modules.
To make the desired movement, the user can enter commands to control a wheelchair. RF communication is used to interact between the transmitter and receiver circuits. This device detects the caretaker’s GPS coordinates automatically. The patient can simply shout the assistance order through the microphone in an emergency if they are unable to press the button.
The entire floor is being watched by this system for movement. Anywhere on the floor, a single step is detected, and the user is alerted through IOT.
When we leave the house, the system must be turned on, and whoever enters the house transmits information through IOT. This system is a secure flooring tile connected to IOT.
This system is entirely based on a speech sensor that makes use of a Raspberry Pi circuit, along with an IR sensor, voice sensor, microphone, water storage jars, pipes, and a motor.
In this project, the speech sensor picks up the user’s voice and provides the appropriate information to the microcontroller so that it can determine whether the individual needs hot or cold water. To detect whether the glass is positioned below the pipe or not, the microcontroller analyses the data from the IR sensor.
Weather conditions may be tracked and updated online using this technology. Temperature, humidity, and rainfall are the three characteristics that the system keeps track of. These readings are then shown on an LCD and updated by an IoT gecko.
The user may obtain a good understanding of the weather in a certain location by looking at the measurements on the display. The localized area’s weather may be determined with the use of this system.
When the region is dry, the system to monitor and update the status through the IOT shows zero value when the weather changes. The system displays the value of the increase in rainfall when a raindrop is detected.
The Air Quality Index Monitoring Module and the Sound Intensity Detection Module are the two components that make up the suggested technology. First, the presence of air contaminants is taken into account while calculating the Air Quality Index.
The sound intensity is then measured using the appropriate sensor. The system continuously transmits data to the microcontroller using air sensors to detect the presence of dangerous gasses and compounds in the air.
The technology also continuously measures sound level and transmits that information through IOT to an internet server. The sensors communicate with the microcontroller, which then analyses and sends the data via the internet.
To carry out this operation, the system connects a Raspberry Pi to a controller circuit. A camera that is attached to the controller circuit allows it to detect the color of a little item in front of it. An item is fed into the camera chamber using a motor.
The sorter mechanism receives a signal as soon as the color is identified and utilizes a motor to move the sorting tube toward the appropriate region. A feeder is then used to push the item toward the tubs so that it may be sorted before the feeder pulls in the following thing.
To keep track of how many items are sorted into each area, the action data is communicated to the IOT server using the iot gecko platform.
The device is designed to be conveniently worn on the ears and allow the user to see the circuitry and voltage readings. To provide the voltage inputs to the raspberry pi display, the circuit comprises a voltage-measuring circuit that is incorporated into the glass. As a result, the Raspberry Pi serves as an effective voltage-measuring display.
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