Postdoctoral Researcher

Developing this multi-modal intruder detection system requires expertise in computer vision to implement real-time AI object detection (like YOLO) and fuse optical and thermal video streams across day and night conditions. It also demands embedded systems and robotics skills to interface edge computing hardware (such as NVIDIA Jetson) with camera sensors, alongside control engineering to program gimbals using PID loops for automated target tracking and zoom control. Finally, software engineering proficiency in Python and C++ is essential to manage low-latency multi-threading, ensuring video analytics, hardware telemetry, and motor controls run simultaneously without system lag.