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The transmitter of the car contains gyroscopic sensors which track our hand's gestures and transmit the signal to the receiver of the car and then the car works accordingly to it.

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

This Obstacle Avoiding Car project leverages advanced sensing and mobility to create an autonomous robot capable of navigating complex environments. The core of this smart car is an Arduino Uno microcontroller, which processes sensor data and controls vehicle movement.

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

This project showcases a target chasing robot car built with a Raspberry Pi Pico and an L298N motor driver, combined with mecanum wheels that allow for agile and multidirectional movement.

In this project, we will use an Ultrasonic Sensor to measure distances. Based on the detected distance, the car will take appropriate actions.

This project is about Otto Robot using Raspberry Pi Pico. The Otto Robot, built using a Raspberry Pi Pico , is a compact and interactive humanoid robot designed for fun and learning.

This human following will be having a ultrasonic sensor which will work as a medium of tracking the object that comes in front of it.

When you CALP Once the car will go Forward, When you CALP Thrice the car will go Left, When you CALP for the Fourth Time the car will go Right.

This car uses a very working principle that is as follows: ~ When the car reaches the end of the table i.e. the edge of the table the ultrasonic sensor detects its depth of it and it makes the car go back.

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.

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.

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.

xLight is a series of programmable light, covering night lights, decorative light strips, and copper wire string lights for multiple scenarios.