Overview: Seven carefully selected OpenCV books guide beginners from basics to advanced concepts, combining theory, coding ...

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

Abstract: Artificial intelligence and deep learning-based object detection techniques have enabled the development of autonomous driving systems that have advanced at a very high pace. Safety and ...

A clean, modular, real-time object detection pipeline built on YOLOv5 + PyTorch + OpenCV. It shows FPS, counts detected objects per frame, renders boxes, and (optionally) saves the video. torch==2.7.1 ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

Abstract: Autonomous driving systems require reliable perception capabilities for safe and efficient navigation, particularly in lane and object detection. This study presents a real-time detection ...