Vengeea matches every face that appears in frame against operator-uploaded watchlists — banned visitors, VIPs, staff — in real time. Confidence 96%+. No dedicated biometric hardware. On-premise option keeps everything inside your network.
A lot of "face detection" products only tell you that a face appeared. Vengeea goes further: for every detected face in every camera frame, it extracts a compact face embedding and compares it against the operator's uploaded database. The output is a match / no-match decision per person — which turns any existing camera into an identification checkpoint.
Privacy posture: operators control what enters the database. Vengeea does not enroll faces automatically or pull from public data sources; a face is added only when an operator explicitly uploads it, typically from an incident photo, an ID badge, or an access-control record. On-premise deployment keeps all biometric processing inside your network — suitable for GDPR-scope operations, healthcare, and government sites.
Face matching sits in a different regulatory category than motion, weapon, or intrusion detection. Biometric identifiers trigger consent statutes like Illinois' BIPA and similar laws in Texas and Washington, and GDPR Article 9 treats them as special-category data requiring an explicit legal basis and documented retention limits. Vengeea's on-premise option keeps face embeddings and match logs inside your network as a data processor, with retention windows and deletion policies configurable per site — the posture legal and compliance teams typically need to sign off before a watchlist goes live, not something to work out after deployment.
The other question every operator asks eventually: what happens on a false match? Vengeea returns a match with a confidence score and the triggering frame, not a silent automatic action — the operator sees the same image the system matched on and makes the call before anyone is stopped, questioned, or escorted. That review step matters as much for legal defensibility as it does for not embarrassing security staff in front of a VIP.
Vengeea is an AI face recognition platform that runs on existing IP cameras with no dedicated biometric hardware. It matches every detected face against operator-uploaded watchlists (banned visitors, VIPs, staff) in real time and alerts on matches with snapshot and timestamp. Confidence 96%+.
The system detects every face in the camera frame, extracts a compact face embedding, and matches it against the operator's uploaded database of known people. When a match is found, security receives an instant alert with identity, camera, and image — before manual review.
Yes. Vengeea's face-matching module lets loss-prevention and venue teams upload snapshots of known repeat offenders or banned individuals. When one appears in any camera feed, the on-duty staff is alerted immediately with the person's identity, location, and a confidence score — closing the gap between "we recognized them on the way out during the evening audit" and catching them at the door.
No. Operators control what enters the database — Vengeea does not enroll faces automatically or pull from public data sources; a face is added only when an operator explicitly uploads it. On-premise deployment keeps all biometric processing and storage inside the customer's network, which matters for BIPA-style consent statutes in the US and GDPR Article 9 special-category data rules in the EU — retention windows and deletion policies are configurable per site to match whichever regime applies.
1–3 day integration. No biometric hardware. On-prem option for regulated environments.
