Abstract: The advent of deep learning has revolutionized computer vision, enabling real-time analysis crucial for traffic management and vehicle identification. This research introduces a system ...
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 ...
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 ...
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