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.

Discover how AI dashcams enhance road safety with collision detection, lane departure alerts, dangerous driving detection, and real-time driver monitoring using advanced artificial intelligence.

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) ...

Learn how to use Premiere Pro’s Scene Edit Detection feature to automatically detect cuts in any video. This tutorial shows how to speed up your workflow, save time, and quickly break down footage for ...

OpenCV is a set of libs written in C++ and the compiled into platform-native lib format: *.dll - for Windows, or *.dylib - for Linux / Mac OS. They can be accessed from Java via Java wrapper included ...

ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...

Abstract: Safe navigation is enabled by lane detection, which is an important component of autonomous vehicles and Advanced Driver-Assistance Systems (ADAS). Existing methods struggle with accuracy ...