It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...

What does this project do? A USB camera connected to a Raspberry Pi continuously captures frames. OpenCV encodes each frame as a JPEG and sends it to the CircuitDigest Cloud Face Detection API via ...

Abstract: The paper has covered topics ranging from how artificial intelligence and machine learning algorithms help in object detection to how OpenCV is such a useful tool for beginners who wish to ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

Abstract: Color analysis is a significant source in many image processing processes consisting of automotive vehicle navigation, protest detection, traffic sign recognition, skin color analysis, and ...

MentorPi is a ROS2-compatible robot car powered by the Raspberry Pi 5, designed for AI-driven robotics and Python programming. It offers two chassis options: MentorPi-M1, which features a ...

SunFounder PiCar-X 2.0 is an AI-powered self-driving robot car using the Raspberry Pi 3/4 as the main processing board. It is equipped with a camera module that can be moved by a 2-axis servo motor, ...

This is the second part of the project and here we are going to design Lidar-based Lane Detection System using Raspberry Pi. In the previous part, we designed the LIDAR-based surrounding mapping and ...