The challenge and opportunity presented by use of UAS "drones" in the national airspace has historic significance. The FAA estimates that by 2020 the drone market will be $98 billion with 7 million drones added annually. How drones ranging from professional service to hobby will safely share airspace is unclear. Preliminary research at Embry Riddle to develop a drone detector, which can be placed on rooftops and networked with other detectors and information services, has shown that multi-spectral electro-optical/infrared detection is quite effective. Our team is using NVIDIA Jetson systems in an EO/IR detector system. The NVIDIA Kepler architecture-based NVIDIA Tegra co-processor provides real-time object detection for aircraft and drones using salient object detection algorithms accelerated by GPUs. We'll present the power efficiency and real-time processing advantages GP-GPU provides compared to FPGA and multi-core, which we've also tested for this application.