Overmountain Scoured Sentry (OSS) Prototype
Background: The Persistent Surveillance Gap
Modern intelligence operations depend on continuous observation across diverse and often infrastructure-denied environments. Current surveillance platforms typically require cloud connectivity, external power sources, dedicated operators, or some combination of all three. These dependencies create logistical burdens that limit where, when, and for how long a system can be deployed. In remote border regions, maritime corridors, and austere field conditions, maintaining persistent coverage remains one of the most resource-intensive challenges facing both military and humanitarian organizations.
The need for a self-sustaining, edge-computing surveillance platform that can operate independently of external infrastructure has never been more critical. Existing solutions either sacrifice processing capability for portability or sacrifice portability for performance. Bridging that gap requires a fundamentally different approach to how autonomous systems are powered, networked, and deployed.
Our Solution: Solar-Powered Autonomous AI at the Edge
We've developed a fully self-contained AI surveillance platform that weighs under 23 pounds, runs entirely on solar energy during daylight operations, and performs all artificial intelligence processing locally on proprietary hardware with zero cloud dependency. OSS requires no external power delivery, no network connectivity, and no operator intervention to function during periods of adequate sunlight.
This isn't a stripped-down sensor with a radio link. OSS executes an advanced neural network architecture onboard, processing multiple data modalities in real time while maintaining a minimal electromagnetic signature. The system is purpose-built for deployment across four operational domains: land, sea, air, and space. Each domain runs specialized AI models designed for that environment's unique threat profiles and data characteristics. All training data used in development is synthetic or derived from open-source information.
It should be noted that sustained nighttime operation exceeds the energy storage capacity of the current prototype. Extended-runtime configurations are under active development for future iterations. Within its current operational envelope, however, the system demonstrates a capability profile that is not replicated by comparable platforms at this size, weight, and power (SWaP) class.
Vehicle-Integrated Configuration: Removing the Daylight Constraint
When OSS is mounted in a vehicle and connected to the battery and alternator, the daylight limitation is eliminated entirely. The vehicle's electrical system sustains all processing and sensing functions while in transit, and the alternator recharges onboard energy reserves in real time. When the vehicle is stationary, OSS can be configured to transition to its solar power subsystem, allowing continued operation during extended observation periods. This dual-source architecture enables true continuous, indefinite operation across mobile patrols, convoy routes, and prolonged static surveillance positions.
Why This Matters: Real-World Impact
For Special Operations and Intelligence Communities:
Deploy-and-forget capability during daylight missions with no resupply, no maintenance, and no operator presence required
Complete air-gap security since all data stays on the device with zero external transmission
Edge AI processing that delivers actionable intelligence in the field rather than waiting for post-mission exploitation
Vehicle integration that extends operational duration to truly indefinite timelines regardless of light conditions
For Humanitarian and Civil Applications:
Rural healthcare monitoring in regions where persistent infrastructure is unavailable or unreliable
Counter-trafficking analysis using behavioral pattern recognition, temporal modeling, and network topology mapping
Border and maritime surveillance that operates continuously without drawing on local power grids or communication networks
Disaster response support through rapid deployment of autonomous observation in areas where infrastructure has been destroyed