• igh-accuracy biometric/ID matching — supports 1:1 and 1: N matching for faces, vehicles or objects, with low false accept/reject rates.

  • Real-time detection & alerting — processes live video/feeds to recognise targets instantly and raise alerts (e.g., for VIPs, blacklists) across camera networks.

  • Multi-modal & object recognition capability — handles not only faces, but vehicles (license plates), objects and behaviour recognition for broader situational awareness.

  • Edge-to-cloud deployment & integration — works on-camera/edge for low latency, or on-server/cloud for scale; integrates with existing systems via API/SDK.

  • Audit logging & data exports — full trail of recognitions, operator review, report generation, searchable archives for investigations or operational review.

  • Scalability & support for high-volume deployments — supports large numbers of cameras, large databases of identities (hundreds of thousands+), and vendor support/maintenance.

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