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: For vehicles to have the option to drive without anyone else, they have to comprehend their encompassing outside as human being chauffeurs, so they can explore their aisle in roads, delay at ...

In the first three months of the year, it's a very active period for investment news. It's a time for management teams to reflect on the prior year and lay out their new strategy for the following ...

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: Strong Lane detection and object identification are essential for safe navigation in advanced driver assistance systems (ADAS) and autonomous driving. Using OpenCV for lane marker extraction ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

This project shows the implementation of a performance optimized lane detection system for United States roads. It’s developed in Python using Anaconda with OpenCV and for better demonstration ...