DIY Self-Driving Car for Beginners (Arduino & LiDAR)

In this project, we will be using XIAO ESP32S3 Sense Board as our camera input and we will be using OpenCV & Visual Studio for the face detection and as the face is detected it will record the attendance with date and time in CSV file.

In this project, the robotic arm will execute actions corresponding to the commands received from the web server. For example, if the Servo 2 slider moves, the robotic arm will respond by moving to the left, and similarly for movements to the right, up, and down.

In this project, the robotic arm will execute actions corresponding to the commands received from the sensors.

In this project, we will utilize a Bluetooth module receiver to receive commands from mobile. Based on the received commands, the car will perform corresponding actions.

The project makes use of an IR receiver to receive the signal from our TV remote and then, as per the command received from the remote, the car performs the task.

The project is based on the use of AI and IoT devices together for creating a fast, simple and cool ecosystem. Here in this project, I am going to create a Voice assistance control car that makes use of AI (Google assistance, Alexa, etc) and IoT Components (NodeMcu) to make this voice automation car.