Recognition, not just detection
Face detection cameras have framed, counted and triggered for years; facial recognition matches against an enrolled database you control: staff, authorised contractors, banned patrons. Detection knows a face is present; recognition knows whose it is. The distinction matters for what the system can do and for the privacy rules that apply.
Book A Quote Today
"*" indicates required fields
The face as a credential
Enrolled staff walk in without a card, a fob or a code, and the access record still shows exactly who entered and when. Facial authentication runs at the door through Suprema BioStar terminals with QFace recognition on the device, and even Akuvox intercoms now verify a face before releasing the door. Dual authentication, face plus card, covers higher-security areas and ends card sharing. For childcare centres, facial recognition at entry means only enrolled parents and authorised adults open the door at pickup, with a verified record of every collection.
Finding a person in footage, fast
When something happens, the question is who and when. Face search runs a person across hours or weeks of footage in seconds: every appearance, timestamped, across every camera. Paired with natural-language search, incident review that took an afternoon takes minutes, and an incident report for a parent, a manager or the police is built from verified appearances rather than memory.
Watchlists, self-exclusion and duty of care
Licensed venues alert the moment a banned patron or self-excluded gaming customer enters, meeting exclusion obligations without relying on staff memory. Retail identifies known offenders before stock walks. Sites with vulnerable people know when someone who shouldn’t be there is. Watchlist matches route to staff or monitored response in real time, with the footage attached.
Privacy engineered in
Facial data is sensitive information under Australian privacy law, and a facial recognition surveillance system is only as defensible as its design. Enrolment with consent, clear signage, retention limits, access permissions and an audit trail of every match and search are set at commissioning. That design work is the difference between a capability and a liability, and it’s part of every system we specify.
Part of the intelligent camera platform
Facial recognition runs on the platforms the site already uses. Vix Vizion’s Imagus engine, Australian-built, integrates directly into Wisenet WAVE and Milestone XProtect, recognising faces reliably in crowds, at angles and in poor light, and enrolling from existing databases or straight from footage. Suprema BioStar carries the access side. Processing runs on site, so facial data stays under your control, alongside AI video analytics and ANPR. Part of our commercial security cameras range.
Commercial Security Systems
Frequently Asked Questions
What is a facial recognition camera?
A camera whose footage is matched against an enrolled database in real time or in search, identifying known people rather than just detecting that a person is present.
What's the difference between face detection and face recognition?
Detection knows a face is in frame; recognition knows whose face it is, which is what separates a face recognition camera from simple detection.
Is facial recognition legal for businesses in Australia?
Yes, with obligations. Facial data is sensitive information under the Privacy Act, so consent, notification, retention and access controls must be designed in. We build systems to those obligations from the start.
Can facial recognition be added to our existing cameras and VMS?
Yes, in many cases. Engines such as Vix Vizion Imagus integrate into Wisenet WAVE and Milestone and work with existing CCTV where resolution and angles support identification, confirmed at inspection.
How do childcare centres use facial recognition?
Entry access limited to enrolled parents and authorised adults, a verified record of every pickup, and fast face search when an incident needs reviewing.
How accurate is facial recognition?
Modern systems are highly accurate when cameras are positioned and lit for identification, which is an engineering outcome. Match thresholds are tuned to the use: stricter for access, broader for search.
