Here is the list of the top 30 Best Wireless Based Project Ideas for Final Year Electronics Engineering students, B-Tech & M-Tech students brought to you by Listyaan.
A data transfer that doesn’t include cables is known as wireless communication. Data transmission over the air is precisely what wireless communication entails. In essence, an electrical conductor acts as the wireless link between two nodes. Data is transmitted over radio waves called spectrum bands without a doubt.
The system uses a temperature sensor to detect fire in the car, a vibration sensor to detect impact force or strong vibrations, an alcohol sensor to determine whether the driver was intoxicated, and a gyroscope sensor to record data if the vehicle tilted or turned over during the accident, and a GPS and GSM modem to send SMS with GPS coordinates about the incident.
An Arduino Mega is now used to run the entire system. All sensor data are monitored by the system to look for any anomalies.
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. Additionally, 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. The Ras Pi controller transfers data through wifi after receiving it from the Arduino. The built-in wifi module on the Ras Pi connects it to the internet. For storage, the Pi transmits data to the IOT Gecko platform IP.
An LDR sensor module, Atmega microcontroller, LCD, basic electronics components, power supply, and PCB board are all used in the system’s development. We can send data via the LIFI medium thanks to the system.
To illustrate this idea, we utilize an Android app for a LiFi transmitter. Written text messages are converted by the app into light flash data for transmission. The user must launch the app and enter the message to be sent.
Users of the Bluetooth speaker may change the music by just swiping their hand over the device. Additionally, the user may change the volume of the speaker by just raising and lowering their palm over the device.
Thus, the user doesn’t even need to touch his or her phone or the speaker to control the entire speaker operation. Power for the entire gadget is provided by the battery pack. Battery chargers and protection circuitry regulates battery power and discharge.
Additionally, this circuitry has an internal logic system that automatically turns off the machine after more than five minutes of inactivity to conserve power.
The system uses an STM32 controller, a 2.4 GHz rf transmitter, a camera, a magnetometer, an infrared sensor, a battery for power, and other components to build the satellite. Here, we build a fundamental Cubesat architecture that emphasizes the transmission and collection of meteorological data more than the ACDS stabilizer system.
The controller receives orientation data from the sensor. The temperature of the orbit is measured using the temperature sensor. To monitor solar infrared radiation and identify solar waves and blasts, an infrared sensor is put on top.
To complete this duty, the system makes use of a variety of sensors that are all managed by an STM32 controller. We also create a receiver system to take in and show the data from the transmitter addition to it. Since the transmitter unit is permanently submerged in water, it is impossible for it to continually recharge itself.
Instead, we utilize a solar panel to enable it to produce electricity and continue operating underwater. The battery that powers the electronics on board is charged by the solar panel.
A coin module, solenoid valve, keypad, RFID scanner, and motors are used to construct the system together with an STM32 controller. This makes it possible for a smart water dispenser device to give water to consumers as needed.
The system makes use of a flow meter sensor to measure the volume of water dispensed. Now that the desired volume of water has been dispensed, the device stops the flow. The device also offers bottle dispensing if the user forgets to bring a water bottle.
The system gives the user the option to choose settings or begin monitoring initially. Push buttons are used to operate this, which is shown to the user on an LCD. Through the settings choices, the user may add up to three approved contact numbers.
The system saves these three phone numbers, to which it will send SMS notifications in the event of a detection. The device enables early earthquake vibration detection and delivers notifications to several recipients for immediate earthquake broadcasting.
In this system, eight legs are actuated simultaneously by a twin motor configuration coupled to six gears. This robot may be remotely controlled by the operator thanks to remote control operation. Four 12v LED indicator lights on either side of the system indicate the movement’s direction.
This command is received by the robot’s receiver controller, which then delivers it to the microcontroller for processing. When the microcontroller gets this order, it utilizes the motor drivers to power the motors in the required directions, allowing the spider robot to move forward, backward, left, and right.
The device uses a weight sensor, an Atmega microcontroller, a wifi transmitter, and an LCD to accomplish this functionality. An automatic and reliable IV monitoring system is made possible as a result. On a little stand, the Weight Sensor is fixed.
A bottom cross piece is constructed into the stand to provide balance. The weight sensor hook on the stand may be suspended by the user using a short rod that extends from the top. At the start, the empty IV bag’s weight is determined using a weight sensor. Empty weight is what this is.
The robotic vehicle uses motorized tracked and Gripper arrangements that are both controlled by a wireless remote controller. The tracked robot is given user movement orders through the wireless remote.
An rf receiver is coupled with an Atmega328 microprocessor to form the robot receiver electronics. The rf receiver’s movement commands were forwarded to the microcontroller for processing. To produce the necessary movement, the controller analyses this data and activates 4 Motors.
The system comprises two essential parts: a gesture control glove that the user wears and an indicator unit that is installed beneath the bicycle’s seat. To get the desired result, the two nits electronically interact with one another.
An Arduino Pro Mini controls a gyro sensor and an rf transmitter that are part of the glove unit. A battery provides power to the glove device. When a user tilts their hand in a certain direction, the gyro sensor sends a tilt instruction to the glove controller.
According to the direction of the tilt, the rf transmitter processes and sends this order to the reception system. Additionally, the gyro and rf transmitter wirelessly relay the user’s braking action when they use the brakes.
Four drone motors and propellers, an Arduino Pro Little F3 EVO controller, a buzzer, and a lidar sensor make up the mini drone. To identify any impediments in front of it, the lidar sensor employs infrared technology.
If an obstacle is found, the controller decodes the lidar signal and activates a buzzer and light to warn the user of the closeness of the obstacle. By altering the frequency of the buzzer and leading according to proximity, the operator is continually informed of nearby objects so that the drone may be maneuvered safely without colliding.
With the help of a speaker, a camera module, and a raspberry pi controller, the contactless doorbell may operate automatically. This device will let a homeowner know who is at the door and serve as a security system to warn of any robberies when the owner is away from home.
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.
There is no need for the user to touch any buttons; instead, a camera is utilized to identify anyone who is approaching the door and use facial recognition to determine whether or not they are enrolled in the system.
This technology uses RFID to replace the current conventional parking system with a smart parking system based on the internet of things (radio-frequency identification). An admission card will be given to users so they may access parking spaces.
The customers will also receive an android-based mobile application so they may check their phones to see whether a parking spot is available. Users must keep a minimum balance on their entrance card to use the parking system; otherwise, the system will prevent them from entering. By utilizing automation technologies, this smart parking system will aid in reducing human effort and time.
A camera attachment on the RC drone enables the operator to see fish shoals underwater. With the use of this vision, the user may direct the floating drone to go into fish shoals and catch fish as desired. To launch the cages toward fish shoals at the high speeds required to catch them, the RC drone features two propellers.
The onboard controller receives the user’s orders given by the remote control transmitter and uses them to drive the propeller motors. The remote-controlled fishing boat drone can move quickly forward and pivot, enabling sustainable fishing operations.
The system’s complete processing mechanism is controlled by an Arduino. Here, settings and other information are shown on an LCD screen. The device has a syringe mounting that keeps the syringe in position and presses the loot progressively by predetermined specifications.
The plunger pusher is driven by the device’s motorized ball screw base mechanism. The device’s keypad and the internet may both be used to set the device’s settings. The appropriate doctors can notice the gadget activated on their web portal when the device’s internet management option is enabled.
The Bluetooth receiver picks up the programming commands sent by the app and transfers them to the Arduino controller. Each servo step’s movement orders are saved and recorded by the controller.
Now that the series of stages have been completed, the controller may repeatedly complete the program by executing the whole movement instruction in the proper coordination with each servo. In light of this, the system offers a clever technique for using a 360° programmable robotic arm with a smartphone-operated system.
The system consists of an Atmega328-based circuit connected to a voice recognition module that translates user-spoken instructions into digital data that the microcontroller can then debug to obtain directional directives.
The transmitter circuit and the receiver circuit make up the overall system. The voice recognition module is part of the transmitter circuit, while the motor and driver assembly are part of the receiving circuit. For communication, an NRF trans-receiver module is used. The command provided to the wheelchair is shown on a 16*2 LCD.
The system uses six high-torque quadcopter motors to produce the necessary lift for the supply mission. The motors are appropriately outfitted with complementary propellers. The basket’s one-side-opening flap is utilized to make it simple to add and remove items.
Here, we communicate flying instructions to the drone via an RF controller remote. The onboard controller continuously reads these signals using an rf receiver to regulate the drone motors accordingly.
An android phone can see live video from the drone’s built-in camera. The user’s phone receives the camera footage wirelessly. To remotely control the drone, the user uses an rf controller. The drone receiver receives the remote control movement signals, and the controller then controls the motors to control the drone’s flight.
The robot is designed to assist with and streamline daily cleaning tasks. Utilizing a vacuum cleaner and wet cleaning brush combines dry and wet cleaning operations. An RF remote is used to operate the robot.
The user can give himself movement instructions by using the remote. The robot has an rf receiver circuitry that receives commands for movement and controls the moors to carry out the requested movement.
A motor is used to illustrate the system’s automated alcohol breath detection capability. Additionally, a GPS module coupled with GSM is utilized to notify the appropriate party through SMS when alcohol is discovered and the car motor is shut off.
The robot, which is IOT-based, is capable of caring for your pets by itself at home. Since you can control the robot online and move it about your home whenever you want, surveillance is now considerably more sophisticated than just a security camera. Because of this, you can always be with your dogs.
The robot also has a speaker that communicates with your dogs or cats, enabling you to yell at them for misbehavior or remind them to eat when the time comes. As a reference for the messages that will be shown, an LCD is also offered.
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.
A Raspberry Pi controller is utilized 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.
Constant policing, monitoring and reminders to offenders are required to ensure mask coercion and social distance. To make this duty easier, we’ve created a drone that can quickly patrol large areas and make sure people are wearing masks and social distancing in public spaces.
The drone may be used to remotely check for infractions of the COVID-19 limitation and to broadcast warnings via loudspeakers. This would facilitate the deployment of drones for simple surveillance and patrol of wide regions and lengthy roadways.
This technology aids in surveillance in the air and over land. Being able to fly above obstacles on the ground and drive under them from above is advantageous in situations with plenty of impediments. The drone would have a transmitter and a receiver.
The RC remote control would send commands for direction and altitude to the drone’s receiver. The drone also has a wireless camera for remote surveillance. In addition to performing aerial surveillance, our drone is also equipped with two motors that we can use to move it across the ground.
By removing human labor, the creative solution we suggest gives a special and automated way to address water pollution. This increases efficiency while lowering costs and time requirements.
This project is to create a floating garbage collector’s major objective is to remove waste that builds up on the surface of water bodies, keeping the water clean and reducing pollution in the process. With the use of an RC remote, this project can be maneuvered remotely. DC pumps are used in direction, and a servo motor setup is utilized to handle the steering. Garbage is collected using a wire gauge net.
The controller, a wireless joystick, responds to human inputs and enables remote control of robotic equipment. Here, we employ a joystick to send steering-type signals from the user, and four push buttons to receive button press commands from the user.
The user has a choice of communication methods, including Bluetooth and RF frequency. An internal switch on the controller remote lets the user choose their preferred communication method. An atmega 328 controller controls the controller, which is powered by a tiny battery.
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.
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