“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.

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

"Man overboard!" is one of the most frightening things you can hear aboard ship and the outcome is often tragic. Now, ...

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 ...

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 ...

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’ ...

Currently, safety protection in hazardous work areas within the manufacturing sector is rapidly shifting from “physical ...