The technology is currently in 27 schools and processes around 14,000 entries each morning. Baltimore City Public Schools ...
Timber’s specialty is detecting ignitable liquids, including diesel fuel, even if a small amount is left at a fire scene.
Kansas schools that opt to use a gun detection software program supported by the attorney general could receive a cut of $10 ...
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Humanity just caught a mysterious 10 second signal from deep space
A brief, ten second flash from the distant universe has just become one of the most intriguing signals humanity has ever ...
Abstract: Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other ...
The company is the first in the UK to have the recently released Collision Warning System from Caterpillar®, which is fitted to its newest Cat 972 wheel loader. The fully integrated safety system ...
The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) ...
AUSTIN, Texas — Driving through Austin may soon get a little easier. On Thursday, the Austin City Council could greenlight a nearly $11 million plan to improve vehicle detection at traffic signals, ...
Editor's note: Este artículo está traducido al español. The devastating wildfires in the Los Angeles area earlier this year inspired a trio of UNLV engineering students to design a device to detect ...
T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...
For some, Halloween is starting to rival Christmas for setting up elaborate holiday decorations. Homeowners now spend many hours─and sometimes dollars─creating ghoulish displays of lit pumpkins, ...
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 ...
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