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 ...

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 ...

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 ...

Faster R-CNN is a Object Detection Model based on the Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks paper.

Abstract: This research presents the design and implementation of hardware for face detection based on the system of the Viola-Jones Algorithm in the Field Programmable Gate Array (FPGA) using VHSIC ...