One step closer to our ADAS goal! 🚀 Successfully implemented object detection using OpenCV and YOLO, paving the way for smarter and safer autonomous systems.The power of computer vision and ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

and OpenCV, designed for surveillance and security applications. This project processes live video feeds to detect weapons (e.g., guns, knives, suspicious objects), logs detections in a database, ...

In particular, it provides a way to test models involving light dark matter particles, which are difficult to detect using traditional laboratory experiments. In our study, we showed that the ...

To address this problem, we propose an efficient object detection method for low-resolution remote sensing images based on the YOLO detector, named CRKD-YOLO. The method constructs a cross-resolution ...

The eventual idea is that the boat would navigate itself using GNSS guidance and would navigate toward the trash. Of course, you could always fight trash with trash.

Abstract: This paper presents a novel approach combining YOLO (You Only Look Once) object detection with Physics ... The method leverages thermal signatures to detect anomalous components while using ...