YOLO-Jevois enables open-vocabulary object detection at runtime on the Amlogic A331D-based Jevois Pro AI camera, no dataset or training needed ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Addressing UAP data gaps, the Galileo Project employs advanced sensors and AI to monitor the sky, aiming for precise ...

Researchers from the Cluster of Excellence Collective Behaviour introduce the method YOLO-Behaviour: a new computer vision framework to automatically ...

Cryptocurrency markets have already reacted to the announcement of 'Agentic Object Detection' last Thursday. Here's what it might impact next.

Researchers have created a compact camera where the lens is replaced by engineered optics that can identify objects at ...

Abstract: Aiming at the current insulator defect detection algorithm can identify a single type of defects, and the accuracy is not high, a Dilated Re-parameterized Residual-YOLO(DRR-YOLO) algorithm ...

With the exponential rise in drone activity, safely managing low-flying airspace has become a major issue. Using a network of ...

Two professors at the University of Iowa are developing a new camera system that uses AI to detect child abuse as it’s ...

This repository contains a project for detecting various fruits in images using the YOLOv9 object detection model. The system is designed to accurately locate and classify fruits such as Apple, Banana ...