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Today we tested SAR Vision using a live HDMI feed from a DJI M30T thermal drone and confirmed real time human detection working on an actual live aircraft feed. This was not prerecorded footage. The system was running detection live as the drone was moving, identifying upright human heat signatures in thermal imagery and drawing bounding boxes in real time. Persistence filtering helped maintain tracking stability during motion. This test validated the full pipeline from drone to HDMI capture to SAR Vision processing to live detection and recording for post review. We also identified an important improvement area. Prone or partially obscured subjects are more difficult for the current model, which gives us a clear next step in expanding thermal training data to better recognize non upright human shapes. This is still early stage development, but today’s field test proved the system can operate in a real world configuration. The goal is to build AI assisted tools that support search teams and improve detection speed in time critical operations. More testing and refinements ahead. If you are involved in search and rescue or public safety and are interested in collaboration, feel free to reach out.