Designed for high-stakes security, GridGuard OS empowers your surveillance robots to understand their environment. It doesn't just record video; it analyzes behavior in real-time to proactively prevent incidents before they happen.
Stop relying on human monitors to spot bad actors in a crowded feed. GridGuard OS processes 4K video feeds at the edge, executing high-speed biometric scans in milliseconds and alerting your SOC immediately.
Matches identified individuals against local blocklists or national criminal databases in real-time.
Automatically blurs non-threat personnel to maintain strict GDPR and enterprise privacy standards.
A secure perimeter is about understanding context. GridGuard's advanced AI models detect unusual activities based on baseline environmental norms, escalate events based on your custom security protocols.
The system flags individuals who remain in sensitive zones beyond predefined time thresholds.
Identifies bags, packages, or equipment left unattended in high-traffic or secure areas.
Static, predictable patrol routes are vulnerable. GridGuard OS integrates with the Sentry robot's navigation system to automatically adjust patrol paths on the fly, ensuring unpredictable coverage.
Creates mathematically unpredictable patrol routes to prevent adversaries from timing guard cycles.
Prioritizes routing through known physical blind-spots and areas with high historical incident rates.
You don't need to rip and replace your existing infrastructure. It seamlessly feeds live, categorized sensor data directly into your existing Video Management Systems (VMS).
Natively supports ONVIF Profile S/G/T protocols for immediate integration with Milestone, Genetec, and more.
Export live bounding-box metadata and behavioral alerts directly into your proprietary SOC dashboard.
Deploy proactive cognitive security in environments that demand zero-trust reliability.
Protect power plants, substations, and water treatment facilities from unauthorized access and physical sabotage.
Secure expansive corporate headquarters with autonomous patrols that seamlessly blend into the environment.
Ensure absolute perimeter integrity around highly sensitive server farms with thermal and biometric verification.
Monitor massive, dynamic environments to detect abandoned objects, track unauthorized personnel, and secure cargo.
Deploy rugged robot swarms over rough terrain to extend visual and thermal ranges far beyond static camera placements.
Monitor outer perimeters for contraband drops, fence breaches, and loitering using advanced behavioral analysis.
Architecture specifications for IT and Security Integrators.
| Deployment Model | Hybrid Edge-to-Cloud (Local inference on robot, cloud management) |
|---|---|
| Video Analytics | Facial Recognition, LPR (License Plate), Object Tracking, Thermal Analysis |
| Behavioral Triggers | Loitering, Intrusion, Abandoned Object, Crowd Density Alerts |
| Video Integration | ONVIF Profile S/G/T, RTSP stream export to existing VMS |
| Data Security | AES-256 Encryption (At Rest & In Transit), Zero-Trust node authentication |
| API Access | RESTful API & MQTT for custom SOC dashboard integration |
| Fleet Management | Supports up to 50 active robotic nodes per local deployment cluster |
| Network Requirements | Private 5G, Wi-Fi 6, or robust LTE with fallback redundancy |
Discover the other cognitive AI platforms powering the Gridbrains fleet.
Swarm coordination, dynamic routing, and heavy interlogistics management.
View Platform