Applications
Vision4ce Deep Embedded Feature Tracking (DEFT)
DEFT is Chess Dynamics’ latest innovation in target tracking. It is a deep learning-based algorithm that provides accurate and robust tracking in complex situations. DEFT is particularly well-suited to dynamic targets and is particularly robust in high clutter. This makes it well-suited for tracking drones in Counter UAS applications.
DEFT Applications
DEFT has a wide range of applications, including:
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Surveillance: DEFT can be used to track vehicles, people, and other objects of interest in surveillance footage.
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Border security: DEFT can be used to detect and track illegal border crossings.
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Law enforcement: DEFT can be used to track suspects during investigations.
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Military: DEFT can be used to track enemy vehicles and personnel.
Benefits of DEFT
DEFT offers a number of benefits over traditional target tracking algorithms, including:
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Accuracy: DEFT is able to track targets with a high degree of accuracy.
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Robustness: DEFT is able to track targets in challenging environments, such as cluttered scenes and low light conditions.
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Speed: DEFT is able to track targets in real time.
DEFT - Deep Embedded Feature Tracking
Class1 Drone Attack Daylight tracking
The video shows a Class 1 FPV drone, approximately 500m out, being flown by a British Armed Forces drone pilot. We asked him to attack our position and see if he could break our tracking lock. As the video shows we can cope with changes in the background and foreground clutter, changes in contrast, focus and scale. Altogether we are offering the most robust tracking on the market.
