Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

A research team at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) has developed a new technique to ...

The system integrates a mobile application equipped with a mini camera for real-time image capture and employs advanced deep learning techniques for object detection and classification ... for edge ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

Electro-optic sensors convert visible light into electric signals, while infrared sensors convert heat into electric signals for the detection and tracking of data. This is also the first time ...

This innovative approach significantly enhances object detection accuracy while reducing reliance on real-world images. Pointing out that gathering such real-world data can be expensive ...

Documentary filmmaker Jeremy Corbell spoke with NBC News' Gadi Schwartz about a new video of an unidentified tic tac object possibly recorded by a Navy ship near the California coast in 2023.

A deep learning-based system to detect helmets, vehicles, and other objects in real-time using YOLOv3 and OpenCV. Built for applications like traffic monitoring, safety compliance, and autonomous ...

Abstract: The objective of hyperspectral remote sensing image salient object detection (HRSI-SOD) is to identify objects or regions that exhibit distinct spectrum contrasts with the background. This ...