Job Description
We are building a real-time computer vision platform that detects safety violations across multiple CCTV streams on live-fire training ranges in day, night-IR, and thermal conditions. The system has to work. Failures have real-world consequences, not just bad metrics. We are looking for a senior computer vision engineer to help us deliver it.
What you'll work on Live multi-CCTV detection across day, night-IR, and thermal conditions. Complex and dynamic CV solutions: weapon / object orientation under occlusion, action sequence recognition for clearing drills or SOP, multi-camera Re-ID across identical uniforms, and smoking detection Designing algorithms and policies that combine multiple detection frameworks to drive false positives down without losing recall on critical events. Continuously analysing where the system is uncertain and lifting confidence calibration and recall rates for P0 use cases. Scalable architecture across central GPU inference and distributed edge deployment, d...
What you'll work on Live multi-CCTV detection across day, night-IR, and thermal conditions. Complex and dynamic CV solutions: weapon / object orientation under occlusion, action sequence recognition for clearing drills or SOP, multi-camera Re-ID across identical uniforms, and smoking detection Designing algorithms and policies that combine multiple detection frameworks to drive false positives down without losing recall on critical events. Continuously analysing where the system is uncertain and lifting confidence calibration and recall rates for P0 use cases. Scalable architecture across central GPU inference and distributed edge deployment, d...
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