• Augmented capabilities due to advanced machine learning and AI capability

• Enhanced target tracking performance in crowded scenes including automatic reacquisition

• The burden on multifaceted operators is considerably reduced

Incorporating machine learning and AI into the image processing of target tracking brings improved performance in complex scenarios, including automated acquisition and reacquisition of targets.

The software upgrade ensures reliable targeting of small agile targets such as drones/swarms, autonomous surface vessels, and jet skis without the need of intervention by the operator when a target becomes obscured or changes perception angle. This capability extends to vehicles and people in crowded ground scenes as well as aircraft in the presence of cloud clutter.

John Thornton, Director of Image Processing at Vision4ce comments, ‘This is a significant capability enhancement for our customers. The CHARM tracker is now even more resilient, capable of maintaining robust tracks even with challenging targets, and provides enhanced adaptability to rapid changes of the target, augmenting an already impressive range of products.

 ‘This software upgrade showcases our commitment of the Vision4ce brand to continuously develop capabilities that both lengthen the life and augment the performance of customers’ products. Innovations that ultimately meet ever-evolving requirements,’

Machine Learning and AI for Improved Video Target Tracking

The Vision4ce CHARM product range offers video target tracking capability and meets different form factor requirements.

This new feature, for the CHARM 100 and CHARM 100 NX exploits AI-based methods to maintain tracks in complex scenes. This provides increased probability of reacquisition and reduced frequency of seduction by false targets due to improved bounding of the target.

Automatic target reacquisition removes the requirement for manual reacquisition following loss of a track to reduce the burden on the operator and simplify the target acquisition process.