Vision4ce Demonstrates AI-Powered Drone Classification & Tracking

By Mike Ball / 20 Apr 2020
Follow UST

Vision4ce drone tracking

Vision4ce has released a video demonstrating its AI-powered real-time video processing, tracking and classification detection technology. The video shows the ability of the company’s CHARM 100 system to track single or multiple UAVs (unmanned aerial vehicles), both stationary and moving.

Based around NVIDIA’s Tegra and Jetson architecture, the CHARM 100 delivers AI-enhanced high-speed video and image processing capabilities, incorporating Vision4ce’s advanced DART video tracking software. DART provides enhanced features such as centroid and edge measurement, feature based correlation algorithms, adaptive background removal, and robust clutter rejection.

The CHARM 100 video tracking solution is available as a standalone embedded board or as an integrated package in a rugged, sealed enclosure. With the ability to interface with a variety of cameras, displays and sensors, it is ideal for a wide range of unmanned systems that require real-time video and image processing, tracking and classification detection technology.

Watch a demonstration of the CHARM 100’s UAV tracking abilities below:

Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact