🖼️ Object detection on images using YOLOv4 and YOLOv4-Tiny with OpenCV DNN. This project demonstrates how to detect multiple objects in static images with bounding boxes and class labels. It supports ...

ABSTRACT: 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 ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.

Abstract: Closed-circuit television (CCTV) is essential in the security industry by providing surveillance, monitoring activities, recording incidents, and storing evidence. Research and developments ...

A real-time object detection system using a Tello drone and OpenCV. This project enables autonomous object detection and tracking using a pre-trained SSD MobileNet V3 model.

Standing and lying times of animals are often used as an indicator to assess welfare and health status. Changes in standing and lying times due to health problems or discomfort can reduce productivity ...

If you have an Arlo Secure subscription for your camera, you may have noticed an interesting recent addition: A beta program for "Custom Detection" that allows you to literally train Arlo's AI to ...

Automatic tree identification and position using high-resolution remote sensing images are critical for ecological garden planning, management, and large-scale environmental quality detection. However ...