Low - Cost Neuromorphic Edge Intelligence for Persistent Autonomous Change Detection and Machine Situational Memory
Summary
The Department of the Air Force, AFMC seeks a low‑SWaP neuromorphic infrared sensor with onboard edge intelligence to enable autonomous change detection and persistent situational memory for sUAS operating in GNSS‑denied environments. The effort focuses on event‑driven sensing, AI‑based processing, and multi‑UAS data sharing to reduce bandwidth, power use, and analyst burden while providing rapid cueing of additional sensors.