Research in the use of deep learning for object detection has made dramatic progress in recent years, driven by demand across a variety of applications, including facial recognition and autonomous ...

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

A new type of sensor, that is much faster than competing technologies used to detect and identify hidden objects, has been developed by scientists.

In high-risk industry work scenarios, automatic hard hat recognition systems are crucial for ensuring worker safety. However, the issue of false detection has become a 'stumbling block' affecting ...

As explained to TechXplore by researcher Vít Růžička: "While plenty of data sources record in high resolution, current state-of-the-art object detection models, such as YOLO, Faster RCNN, ...

Researchers have built a way that lidar could achieve higher-resolution detection of nearby fast-moving objects through mechanical control and modulation of light on a silicon chip.

Terahertz sensor achieves faster detection of hidden objects 08 Jul 2015 Q-Eye from UK’s Warwick University is sensitive to single photons; new spin-off targets applications in security.