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Structural Health Monitoring is one of the recent area which has not seen significant application of deep-neural network. The major limitation is due to unavailability of huge number of labeled data set.
Object Recognition using Automotive Ultrasonic Sensor, RedPitaya and Raspberry Pi through Machine Learning classifiers and Deep Learning Neural Network
In this Prototype Raspberry-pi based Home Automation Project. Inthis Project Multiple Sensors are interfaced with pi-3b+ to give Automated Security Output for a Home or Private Property.
We make a Smart Thermal Bot with Obstacle Detection by using Raspberry Pi Pico W . This bot can measure the temperature of surrounding and also avoid the obstacle by using the ultrasonic sensor . We also create a web server so that we can control the car robot from anywhere in the world!
This is a Smart Garbage Flow control IoT system. It consists of 4 raspberry pies, one for the webserver, and three for each garbage bin. This project was made for the Internet of Things Course.
A simple smart parking system to keep yourselves updated of the parking slots that are available in a specific registered area to save the hassle of searching for one.
A small level IoT project written micropython with pico-W board to connect to wi-fi to setup a website to display the sensor data and control the sensor.
The purpose of this lab is to interface your Raspberry Pi with the GrovePi+ starter kit which includes a rpi shield that can connect to various Grove sensors. You will use the python libraries provided by the makers of the GrovePi to interface with the sensors.
Area ranging solution for four-wheel drive encoder motor car based on Arduino, ranging and obstacle avoidance using ultrasonic ranging, and motion calibration using MPU6050