Abstract: Road accidents are largely caused by drowsy driving, which emphasizes the necessity of an efficient real-time detection system to improve driver safety. The majority of current systems rely ...

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: The ability of ADAS to ensure road safety and vehicle independence depends on the accuracy and real-time performance of lane detection. Many traditional methods for image processing are not ...

So, I unboxed the unit, and I've shown how you can set it up in your vehicle. Now, let's use it. And I'll admit, my familiarity with AndroidAuto has been nearly nil, so aside from talking about how ...

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 ...

GREENVILLE, Texas--(BUSINESS WIRE)--GovComm, the leading provider of artificial intelligence-enhanced wrong-way vehicle detection systems (WWVDS), today announced that its highly accurate wrong-way ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Hertz and other agencies are increasingly relying on scanners that use high-res imaging and A.I. to flag even tiny blemishes, and customers aren’t happy. By Gabe Castro-Root The next time you rent a ...