A critical mission for mobile robot vision is to detect and classify different objects with low power consumption. In this brief, a multi-class object detection coprocessor is proposed by using the ...

Therefore, there is an urgent need for the development of the simultaneous detection of dissolved gases and water. A high-sensitivity, multiple-gas sensing system was developed by combining a ...

This paper examines the use of YOLO, a deep learning model that is used in the detection of objects, for use in real-time surveillance systems. The added benefits of identifying and labeling multiple ...

YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data ...

A simple yet powerful real-time object detection system using YOLOv3 and OpenCV. This project demonstrates the integration of deep learning with computer vision to detect and classify objects from ...