
DEFT is Vision4ce’s latest deep learning target tracking innovation, developed for reliable performance in complex and cluttered environments. The algorithm delivers fast, accurate tracking of dynamic targets, maintaining lock even during rapid movement or occlusion.
Engineered for defence and security missions, DEFT excels in Counter-UAS, surveillance and targeting applications where precision and persistence are critical.

DEFT is an AI-powered deep learning tracking algorithm developed by Vision4ce to overcome the limitations of traditional tracking methods. It delivers reliable, real-time tracking performance even in challenging or cluttered environments.
Accuracy
Delivers precise target tracking across multiple sensor domains, maintaining lock on fast-moving or evasive targets. Ideal for surveillance, Counter-UAS and defence applications requiring reliable, repeatable performance.
Robustness
Operates effectively in cluttered or degraded environments where traditional tracking software struggles. DEFT’s deep learning model adapts to changing conditions, ensuring consistent results across electro-optical and infrared systems.
Speed
Processes data in real time for faster detection and response. Enables operators to make confident decisions quickly, even when tracking multiple dynamic targets simultaneously.
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.
Software
DEFT integrates seamlessly with Vision4ce Frameworkx and Video Management Software (VMS) to deliver advanced video tracking and real-time image processing. Together, these systems provide full control of electro-optical platforms and enable reliable AI-powered analytics in complex environments.
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Hardware
Built to perform in demanding conditions, the Vision4ce CHARM range of rugged embedded platforms provides the computing power to deploy DEFT tracking software at the edge. These systems support real-time processing across land, sea and air applications.
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Applications
DEFT delivers accurate, robust target tracking across multiple mission profiles, including Counter-UAS, surveillance and targeting. Its deep learning architecture adapts to fast, cluttered environments and ensures persistent tracking performance against agile or small targets.
Support
Access documentation, downloads and expert technical assistance through the Vision4ce Support Portal or contact our support team directly at support@chess-dynamics.com.
Optimised for land, sea and air domains, DEFT runs on Vision4ce’s proven hardware platforms designed to withstand shock, vibration and extreme environmental conditions.
DEFT combines deep learning with traditional computer vision techniques to deliver accurate, reliable target tracking across electro-optical and infrared sensors.
As part of the Vision4ce family, DEFT integrates seamlessly with Frameworkx software, CHARM hardware and existing electro-optical systems, accelerating deployment and reducing integration risk.
Scalable and configurable, DEFT adapts to individual platform and mission requirements, supporting applications from Counter-UAS to long-range surveillance
DEFT enhances Chess Dynamics’ electro-optical surveillance and ISR systems by delivering AI-powered target tracking for continuous, all-weather situational awareness.
Integrated with Chess electro-optical fire control solutions, DEFT provides precision tracking and classification data that supports rapid, effective engagement.
DEFT complements Chess’s high-performance positioning systems, ensuring stable and accurate tracking across land and maritime domains.