Capabilities Grid
Detailed System Features & Operations
Explore MITS’ core computational modules. Scaled for military grade accuracy, offline dependability, and instantaneous real-time multi-stream intelligence.
Feature 01
Personnel Biometrics Engine
Instant, localized face vector matching pairing raw camera streams to offline databases.
- Low-Light Adaptability: Uses custom exposure algorithms and infrared streams to identify targets in absolute darkness or under intense headlight glare.
- Edge Vector Database: Operates completely locally with a lightweight mobile neural engine, bypassing cloud latencies and securing absolute physical data privacy.
MATCH LATENCY< 5.0 MS
Feature 02
High-Precision Vehicle ALPR
Real-time recognition of plate scripts, vehicle make, body color, and model details.
- Multi-Format Parsing: Built-in parsing for local, provincial, state, and international plate layouts including retroreflective formats and dual-row alignments.
- High-Speed Segmentation: Sub-pixel text matching capable of pulling accurate plate letters from vehicles moving up to 120 mph.
OCR PRECISION99.86%
Feature 03
Multimodal Threat Fusion
Correlates distinct biometric, geographic, and optical telemetry into unified threats.
- Spatiotemporal Correlation: Combines vehicle trajectory tracks and biometric face vectors to bind specific drivers to specific vehicles dynamically.
- Immediate Blacklist Alerts: Cross-checks telemetry signatures against local high-security blacklists, prompting rapid visual and audio operator signals.
FUSION ENGINE< 12 MS
Feature 04
Edge Offline Autonomy
Decentralized hardware nodes engineered to run continuously in fully disconnected environments.
- Cryptographic NVMe Cache: Saves high-capacity tracking metadata locally on hardware-encrypted solid state drives, retaining up to 30 days of records.
- Secure Mesh Handshake: Automated peer-to-peer mesh sync checks for encrypted bridges, instantly updating target blacklists when network availability is verified.
SYSTEM AUTONOMY100% OFFLINE
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