Abstract: Real-time object detection on edge devices operates under tight computational, memory, and power budgets. Prior work typically treats model compression and hardware acceleration ...
Different LiDAR sensors in autonomous vehicles deliver precise 3D imaging, supporting reliable perception and decision-making ...
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Man’s bird outdoor camera sent a human alert and what he found in the video terrified people online
The boundaries between consumer convenience and algorithmic misjudgment are narrowing. Devices designed for wildlife ...
The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) applications in hyperspectral imaging across the Department of the Navy and ...
At the Guide Sensmart booth, live product demonstrations powered by ApexVision attracted significant attention from industry analysts, engineers, developers, and global media. Hands-on comparisons and ...
Abstract: Precisely identifying objects of interest in remote sensing imagery requires not only accurate classification but also precise delineation of their location, scale, and orientation. However, ...
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 ...
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. Firstly, the ...
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