Here is the list of the top 30 Best Sensor Based Project Ideas for Engineering students brought to you by Listyaan.
Sensors provide digital representations of physical readings taken from the real environment. We are always researching undeveloped sensor-based systems. Our researchers continue to look at cutting-edge sensor-based initiatives that can help us find solutions to issues facing people.
The system uses a temperature sensor to detect a fire in the car, a vibration sensor to detect impacts or strong vibrations, an alcohol sensor to determine whether the driver was intoxicated, a gyroscope sensor to record data if the vehicle tilted or turned over during the accident, and a GPS and GSM modem to send an SMS with GPS coordinates about the incident.
An Arduino Mega is now used to power the entire system to run it. All sensor data is monitored by the system to look for any anomalies. When a fire is detected, the controller activates the connected GSM modem to send an SMS alerting the registered contact number of the occurrence and begins data collection.
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 LDR sensor module is used in conjunction with an Atmega microcontroller, LCD, basic electrical parts, power supply, and PCB board to create this system. The technology enables data transmission via the LIFI medium.
To illustrate this idea, we utilize a LiFi transmitter Android app. For transmission, the program transforms typed text messages into light flash data. The user must open the app and input the message that will be sent.
To create this system, the system uses two ultrasonic sensors, an atmega microcontroller, a battery, clear glasses, standard electronics parts, and a PCB. The blind individual may now use the glasses to identify impediments and send this information.
To serve as eyes, ultrasonic sensors are attached to the sides of spectacles. To gather information about obstacles, the sensors continuously broadcast and receive ultrasonic waves. This information is continuously obtained by the microcontroller from the sensors.
The system is built using a PCB board, an atmega microcontroller, a buzzer, some basic electronics components, and an ultrasonic sensor. The technology offers an automated approach to social exclusion.
The ultrasonic sensor measures the distance to any reflecting surface using the ultrasonic wave return time. The microcontroller continually keeps track of this sensor data. The controller can calculate how far the wearer is from the person in front of them based on the sensor results.
An Atmega microcontroller, an ultrasonic sensor, an LCD, a power supply, some basic electrical parts, and a PCB board are all used in the system’s development. A completely automated industrial product line counting system is possible with the system.
To find things, the ultrasonic sensor sends and receives ultrasonic waves. A signal from the sensor in a very little amount of time identifying an object is received as soon as an object passes the sensor’s path. This idea is applied to count the number of products.
The user may configure certain system monitoring and alert parameters in the settings mode. The upper and lower limits for PM 2.5 particle monitoring as well as the upper and lower limits for PM 10 particulate monitoring can first be set by the user.
The system begins analyzing sensor data as soon as the user configures all the settings and selects Start Monitoring. The controller continuously monitors sensor output to obtain the most recent data on PM10 and PM2.5 matter. For monitoring, this information is also shown on the OLED display.
When the PM2.5 or PM10 level exceeds the corresponding specified limitations, the system sounds a buzzer alarm and illuminates an indicator LED to communicate an alert. This is how the technology enables users to continuously monitor PM2.5 and PM10 pollution statistics and receive alerts when levels exceed certain thresholds.
The STM32 controller, a Bluetooth module, a buzzer for the school bell, a 16 x 32-inch LED display with buttons, some basic electronic parts, and a PCB board are all used to create this system.
The display is used by the STM 32 controller to communicate with the user. There are two modes: settings and running. A user can connect an Android device while in setup mode. As soon as we are linked, we use an app to enter the schedule into the system. The Android app enables users to enter the timings for today’s schedule into the system.
Users of the system can set the current production objective. The user can change the count value to determine the production status for today. The user may leave settings mode once it has been configured.
Once the goal has been set, the user can switch to running mode. Right now, the system is in live counting mode. Now, the system keeps an eye on the proximity sensor. For demonstration purposes, we only utilize one sensor; in practice, many more sensors of this type will be used.
Once activated, the system enables the administrator or queue manager to control it via the keypad. The person has access to a button that is close by. The admin clicks the go button after approving the present individually to leave. The system is now monitoring an ultrasonic sensor and displaying information on a green LED display.
One person is permitted to pass by the sensor at a time, and as soon as that person does, the sensor immediately flashes a stop sign in red, signaling that the next person must stop. Every time the administrator presses the button, this system repeats. There are several applications for this, which automates the entire stop-and-go procedure in lines.
The system supports a flawlessly functioning, totally automated token-calling mechanism. An Atmega 328 microcontroller, an RFID reader, a keypad for settings, an LED display, and a buzzer for alerting and displaying token numbers, as well as basic electronics parts and a PCB board, are used to develop the system.
The Raspberry Pi controller is used to create the wearable computer, which also includes a battery, touch screen display, lidar sensor, and temperature sensor installed in a small package over a wrist strap.
This creates a clever, portable wearable computer. To interact with the computer, use the display. On a raspberry pi controller, the Linux operating system is installed. This enables the user to utilize all Linux functions on the Raspberry Pi, including file storage and retrieval, tools, and the browser.
To make it simple for users to engage with the Windows system, a touchscreen display has been added. To access the internet, the inbuilt wifi module of the raspberry pi is utilized.
To build the satellite, the system includes an STM32 controller, a solar panel, a battery for power, a magnetometer, an infrared sensor, a temperature sensor, a camera, and a 2.4 GHz transmitter.
Without an ACDS stabilizer system, a simple Cubesat design is created with a greater emphasis on the collection and transmission of meteorological data. The orbital temperature is measured using the temperature sensor.
An infrared sensor is installed on top to assist in measuring solar infrared radiation and spotting solar waves and blasts.
The system is developed using an STM32 controller, a throttle input, a speed sensor for tire speed, a switch, a motor driver, an e-bike motor, a battery, and an OLED display. The controller processes the throttle signal before using the motor driver to drive the motor.
To regulate the motor’s power and speed, the voltage is changed by the throttle values. The speed sensor data is also continually monitored by the controller. The speed sensor continuously transmits the wheel RPM using the hall effect method. The controller shows this RPM value on the LCD screen.
The air quality sensor is utilized to measure the ppm levels of air pollution. The microcontroller processes this data to determine the current air quality. The watch also keeps an eye out for any combustible gasses to identify any leaks using flammable gas sensors.
The controller continuously keeps an eye on this sensor. Push buttons on the wristwatch may be used to program high and low acceptability levels for each parameter. Any numbers that are scanned that fall higher or lower than predetermined limitations trigger a buzzer alarm and display an alert message to the user.
The transmitter employs a pH sensor to determine the pH of the water, as well as turbidity to check for pollution, water temperature, and humidity above the water. The system also includes an accelerometer to detect the state of the sea.
Depending on whether the sea is calm or rough, the accelerometer will provide numbers that may be used to determine whether the water is calm or harsh. The STM32 controller continuously tracks these data, transmitting them through an rf transmitter at predetermined intervals. To obtain the longest broadcast range possible, the transmitter is equipped with a high-gain antenna.
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 robotic vehicle utilizes a motorized tracked setup together with a Gripper setup that is controlled by a wireless remote controller. User movement orders are sent to the tracked robot via the wireless remote.
An rf receiver and an Atmega328 microprocessor are coupled in the robot receiving circuitry. The microcontroller was given the movement orders that the rf receiver had picked up. This data is processed by the controller, which then controls 4 Motors to provide the required movement.
The device attracts the mosquito using its two sensors and then employs an electric mesh to catch and kill it. The gadget starts by heating three rods attached to an electric heating module to around 34 degrees Celsius, which is the temperature of the human body.
The rods’ temperature is monitored in conjunction with a temperature sensor to make sure it is kept at or near 34 degrees. Now, in the middle, we use a low-intensity blue light that shines dimly enough to be seen in the dark but not strong enough to scare off mosquitoes.
To precisely monitor noise levels in three directions, the system uses a set of microphones. To create this system, we use an Arduino-based controller. All microphone sensors’ noise levels are continuously processed by the Arduino.
The system will sound an alert once again and display a message warning that the noise level is too high if the noise level does not decrease. When individuals realize there is too much noise and keep quiet, the system switches back to green. A clever automated noise pollution controller system is therefore made possible by the technology.
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.
To aid in falling asleep, the user may also instruct the raspberry controller to play sleep music. The system uses a speaker to talk or play music for the user and a microphone to pick up voice commands from the user.
The system was developed using a grow lamp, light dimmer circuitry, water pump, water tank, LCD, water sensor, and control circuitry based on an Arduino controller. A circuitry-running AC power supply powers the system.
A dc power source powers the system electronics, enabling the operator to change the watering and grow light settings. The device can water the plant for up to a week because it also has an internal water tank for backup water.
The system uses a temperature and heartbeat sensor with an atmega controller, a wifi module, an LCD, and a GSM module with the power supply to create this system. Utilizing a pulse sensor, the controller may be informed of the user’s heart rate.
For real-time monitoring, the controller communicates this value via the IOT and displays it on an LCD. The controller also includes four input buttons that allow the user to set the SMS recipient’s phone number, alert thresholds, and higher and lower restrictions.
The gesture-based speaker advances the state-of-the-art of Bluetooth speakers. The system includes an Arduino, battery charging board, Lidar sensor, audio amplifier IC, Bluetooth module, and 6-watt speaker with subwoofer.
To connect phones to the speaker for audio input, the system employs a Bluetooth module. The Bluetooth speaker has a Lidar sensor installed on top of it. The Arduino processes the sensor’s input before sending it to the controller, which may then change the song, adjust the level, or turn on the speaker. This makes contactless speaker operation possible.
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 subject. 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.
Additionally, 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.
To capture close-up images of solar panels, electrical towers, and thermal scans, this drone combines a video camera with a thermal camera. To manage the flight and provide long-range control, the drone utilizes a controller.
The RF transmitter and receiver frequencies are used to broadcast and receive control orders from the user’s RC remote. A low-resolution sensor called a thermal sensor can be used to detect thermal heating problems near things.
For subsequent viewing, the raspberry pi is used to capture the thermal sensor video. Thus, the drone automates the thermal screening procedure and improves safety.
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.
For efficient cooling, the system uses 4 Peltier modules. Each Peltier module has a built-in heatsink and cooler fan for cooling the hot side of the module so that the other side may be effectively cooled.
The temperature in the refrigerator may be adjusted and controlled using a panel with an LCD. The refrigerator’s control panel allows the user to adjust the desired temperature. To accomplish the appropriate cooling, the refrigerator now activates the penalties.
An internal temperature sensor continuously detects the interior temperature and feeds that information to the controller. To maintain the ideal temperature for vaccine storage, the controller now controls the penalties.
The method uses two valves on a pressurized helium tank to pump air into and out of a compressed air tank. As and when necessary, the compressed helium is pumped into the air balloon and then reverse compressed into the tank to regulate the zeppelin height.
Pressure, temperature, humidity, wind speed, and direction are among the sensors on board. The user may log this data and monitor live values online thanks to the sensors and a GPS sensor, which broadcast this data back to them over the internet.
The robot has a battery that is always being replenished by the sun’s energy as it is depleted by the motors. When something is exposed to sunlight, the battery life is increased.
The technology comprises a vacuum cleaner with an ultrasonic obstacle detection sensor attached. Therefore, the robot avoids running into any barriers. The floor surface is cleaned by two brushes after the water tank built into the robot sprays water in front of it.
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