With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

To achieve autonomous vehicle (AV) operation, sensing techniques include radar, LiDAR, and cameras, as well as infrared (IR) and/or ultrasonic sensors, among others. No single sensing technique is ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

Lancaster County School District installed weapons detection systems in all middle and high schools and began operation on Friday. The EVOLV system uses AI technology to identify weapons and weapon ...

YOLOv7 is an advanced deep learning algorithm for object detection, representing an improved version of the YOLO (You Only Look Once) series. Utilizing an end-to-end training approach based on deep ...

Rutherford County Schools will begin using weapons detection systems at varsity football games starting in September as part of new safety measures for athletic events. The security upgrades will ...

A high school in suburban Chicago was awarded a grant to implement AI-powered gun detection technology. Oak Lawn Community High School District 229 was one of 50 recipients selected nationwide for the ...

Detection models are the most widely used task type within Geti and computer vision in general. It’s vital that models available for Geti's object detection task are kept up to date and provide a high ...