“Accurate and rapid identification and depiction of objects from digital images (e.g., aerial images, smartphone images, etc.) and video data is increasingly important for a variety of applications.

Robotic vision has come a long way, reaching a level of sophistication with applications in complex and demanding tasks, such as autonomous driving and object manipulation. However, it still struggles ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

Researchers have unveiled a vision system inspired by feline eyes to enhance object detection in various lighting conditions. Featuring a unique shape and reflective surface, the system reduces glare ...

Successful flight trials done for the Australian Defence Force (ADF) across multi-domains prove the utility of AI-enabled, persistent, wide-area motion imagery for long-range surveillance at a greater ...

Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns, shapes ...

Two new papers from Sony and Meta describe novel methods to make bias detection fairer. Computer vision systems are everywhere. They help classify and tag images on social media feeds, detect objects ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

Serving as the eyes of modern manufacturing, optical image sensors are integral to machine vision technology, allowing ...