Autonomous AI for Real-Time Criminal Detection, Identification & Alerts
Autonomous Intelligence
A multi-modal sovereign AI architecture built to process live video at the edge, enabling real-time detection, identification, database correlation, and immediate alerts without relying on centralized cloud processing.
Real-Time Video & Camera Integration
■ Native integration with fixed cameras, ALPR, dash cams, body-worn cameras, drones, mobile devices, smart glasses and other supported video sources
■ Transforms existing camera infrastructure into active detection and intelligence assets
■ Expands detection beyond stationary camera networks into mobile patrol environments
■ Delivers actionable awareness directly to officers, dispatch, and command personnel
Edge AI Execution
■ AI models operate directly on edge hardware within vehicles, facilities, and field environments
■ Processes and analyzes live video at or near the point of capture
■ Reduces dependency on remote data centers and centralized cloud processing
■ Enables rapid detection, identification, correlation, and alerts in the field
Edge-First Intelligence (No Cloud Required)
■ Critical AI inference and video analysis can occur locally at the edge
■ Reduces the need to transmit sensitive video to external infrastructure for processing
■ Supports immediate detection and alerting even in bandwidth-constrained environments
■ Keeps sensitive AI processing within secure, agency-controlled deployment boundaries
Multi-Modal Intelligence Engine
■ Combines computer vision, vehicle and plate recognition, authorized facial identification, location, and metadata
■ Correlates detections with authorized agency watchlists and law enforcement data sources
■ Connects intelligence across cameras, locations, vehicles, and supported sensor types
■ Produces a unified operational picture for greater situational awareness
Agency-Governed AI
■ Human-in-the-loop and human-on-the-loop configurations
■ Agency-defined policies govern detection, identification, correlation, retention, and alerts
■ Role-based access, auditability, and operational controls embedded throughout the platform
■ Officers retain authority over operational decisions and response
Resilient Field Operations
■ Designed to maintain critical AI capabilities during limited or degraded connectivity
■ Local edge processing reduces reliance on continuous network availability
■ Secure synchronization can occur when connectivity becomes available
■ Supports continuous situational awareness across dynamic field environments
Platform-Agnostic Deployment
■ Runs across patrol vehicles, fixed cameras, body cams, dash cams, drones, mobile devices, and supported infrastructure
■ Deployable on-premises, at the edge, within vehicles, or across distributed agency environments
■ Integrates with existing camera, ALPR, RTCC, and public safety systems
■ Designed to enhance existing technology investments rather than require wholesale replacement
Controlled Model Adaptation
■ AI models can be configured and tuned for agency-specific operational requirements
■ Supports specialized detection across public safety, investigations, border security, and other government environments
■ Model updates are controlled, auditable, and versioned
■ Maintains consistent performance while reducing uncontrolled model drift
Real-Time Detection & Decision Support
■ AI-assisted analysis of live video, vehicle, identity, location, and sensor data
■ Rapid detection and identification of persons, vehicles, threats, and events of interest
■ Immediate correlation against authorized agency watchlists and law enforcement data sources
■ Delivers actionable alerts and situational awareness directly to officers, dispatch, and command personnel
Controlled & Auditable AI Execution
■ Detection and alerting outputs are structured, consistent, and aligned with agency-defined policies
■ Defined confidence thresholds and validation controls reduce unpredictable AI behavior
■ Every detection, correlation, and alert can be traced to source data, system rules, and authorized workflows
■ Designed for high-consequence public safety environments where accuracy, accountability, and human oversight are critical
Video-to-Intelligence Pipeline
■ Ingests live video, imagery, location data, vehicle information, and supported sensor inputs
■ Converts raw video into structured intelligence including persons, faces, vehicles, plates, objects, locations, and events
■ Correlates detections against authorized watchlists, BOLOs, warrants, stolen vehicle records, and other approved data sources
■ Delivers actionable intelligence and immediate alerts directly to officers and operational personnel
Fixed & Mobile Intelligence Network
■ Connects intelligence across fixed cameras, patrol vehicles, dash cams, body cams, drones, smart glasses and mobile devices
■ Expands agency detection capabilities beyond the limitations of stationary camera infrastructure
■ Shares relevant detections and alerts across authorized operational users and locations
■ Provides command and RTCC personnel greater visibility across distributed field operations
Secure Agency-Controlled Infrastructure
■ Sovereign AI deployment within secure, agency-controlled environments
■ Edge processing keeps sensitive video, data, models, and inference closer to the point of operation
■ Full auditability across detection, identification, database correlation, and alerting workflows
■ Role-based access and policy controls govern who can access data, intelligence, and system capabilities
Resilience & Operational Continuity
■ Local processing maintains critical detection capabilities during limited or degraded connectivity
■ Edge intelligence reduces dependence on continuous cloud or remote infrastructure availability
■ Secure data synchronization can occur when connectivity is restored
■ Distributed architecture supports continued operations across vehicles, facilities, and field environments
Structured & Searchable Intelligence
■ Converts live detections into actionable, operationally relevant intelligence
■ Time-stamped, location-aware, camera-associated, and context-enriched outputs
■ Searchable and auditable by vehicle, plate, identity, location, timestamp, event, and supported metadata
■ Supports both immediate field operations and rapid post-event investigation