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Multimodal edge vision for autonomous surveillance

Technology

Team of Silicons was assigned to build a Vision Model for Autonomous Surveillance Drones to detect and flag troops in border dispute areas.

ToS built a multimodal edge vision model, fusing RGB and thermal streams that detects and tracks objects across frames. Instead of one over-confident classifier, pairing a real-time edge detector (distilled) with a dedicated open-world layer that flags when evidence is inconclusive works better.

Alerts land as intel on unverified person, vehicle, unrecognized object, or insufficient evidence for an analyst to judge.

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