What is Face Recognition?
Face Recognition is an automated identity verification system designed to manage access control points, secure restricted facility zones, and automate personnel attendance.
By processing camera feeds directly on local edge compute units, the system matches face templates against secure local databases in under 15ms. The facial vector maps are encrypted locally, ensuring complete data security.
This local verification system connects seamlessly with automated turnstiles, time-tracking applications, and security roster management to streamline operations and prevent unauthorized access.
Face Recognition with LogiScan
Deploying Face Recognition models onto LogiScan’s local edge compute system converts standard video feeds into active verification points. Here is our edge deployment checklist:
Sub-15ms Match Speed
Facial vector extraction and database matching run locally on Nvidia GPU edge nodes.
Secure Encrypted Database
Templates are encrypted and stored locally on-premises, avoiding compliance risks.
Access Control Integrations
Directly trigger turnstile releases, unlock doors, or sound alarms for unrecognized entries.
Zero Camera Swaps
Bridge directly into your existing IP camera infrastructure via standard RTSP protocols, avoiding rewiring costs.
Deploying Analytics in Minutes
Our customer portal allows security administrators to easily configure stream integrations and bind AI playbooks without writing code.
Register Camera Stream
Provide the RTSP address, IP camera feed, or link your existing VMS/NVR grid directly within the stream manager portal.
Draw Polygon Detection Zones
Define active tracking boundaries and safety tripwires directly on the live camera viewport overlay inside the browser.
Bind AI Model Playbook
Select and load the customized Face Recognition neural model to run frame inference on this specific camera channel.
Configure Alert Egress Actions
Choose warning targets to dispatch events automatically: Slack channels, EHS log databases, or custom REST webhooks.