“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.

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 ...

This novel system features a slit-like elliptical aperture and a patterned metal reflector to improve object detection and recognition in various lighting conditions. The design effectively reduces ...

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’ ...

Two major lidar innovations are set to advance autonomous driving and security applications. Hesai Group unveiled a platform with color, velocity, and reflectivity sensing, while Innoviz introduced a ...

Researchers at Pointcloud GmbH in Zürich, Switzerland, have packed advanced 4D sensing technology — once too bulky for everyday use — onto a single silicon chip. It’s a 4D imaging sensor that maps the ...

Why did humans evolve the eyes we have today? While scientists can't go back in time to study the environmental pressures that shaped the evolution of the diverse vision systems that exist in nature, ...