No-Code Object
Detection
Edge AI logging vehicle and personnel detections as low-bandwidth text alerts.
- Hardware
- Raspberry Pi, downward camera
- Stack
- Python, YOLO / MediaPipe, GPS
- Domain
- Defense Tech / Autonomy
- Status
- Concept / Prototype
Raw video feeds are bandwidth-heavy and demand constant human analysis — neither is viable at scale in operational environments where connectivity is limited and attention is finite.
A pre-trained YOLO or MediaPipe model runs entirely on-device. Instead of saving video, the Pi logs a timestamped text entry with GPS coordinates every time a Person or Vehicle is detected — compressing a full visual stream into a minimal alert feed.
Mirrors target acquisition pipelines used by Anduril and Shield AI at scale — proving the ability to compress a massive visual data stream into a low-bandwidth, actionable alert without writing a single line of model training code.