Main entrance and turnstiles
High-throughput entry where a queue at shift change is the operational constraint.
SafeACS Series
Facial-recognition access control with multi-factor authentication and attendance.
Card and PIN access controls the credential, not the person. Cards get shared, lost and cloned; PINs get written down; and the audit trail records that a badge went through a door, which is a different fact from the one an investigation needs. Biometric access removes the transferable credential — but it introduces a data category that carries obligations most buyers have not thought about until the system is already installed.
High-throughput entry where a queue at shift change is the operational constraint.
Server rooms, cash handling, laboratories and stores where a shared card is not acceptable.
One enrolment and one permission model across sites, rather than a card per location.
Time-bounded access that expires on its own, which is the control most often missed manually.
The person is registered once, with their permissions inherited from your identity system rather than typed in again.
Recognition at the reader, with a second factor where the area's risk warrants it.
The controller decides at the door, so an entrance keeps working when the network does not.
Person, door, time and outcome — including the refusals, which are usually what an investigation needs.
A leaver loses access everywhere the moment HR records it, which is the control cards fail at most often.
Doors, throughput, lighting, mounting positions and existing hardware. Lighting and mounting decide recognition performance more than the device does.
Device selection, controller layout and capacity, quoted against the datasheet for the model proposed.
Lawful basis, notices, consent and the alternative for anyone who declines — settled before enrolment starts.
Installation, integration to HR and any existing system, then training and documented support terms.
Driven by door count and installation access rather than by software. The survey establishes it. Enrolment is the phase most often underestimated: it needs people to attend, and where a workforce is shift-based that has to be planned around production rather than around the project.
Recognition performance depends on lighting, mounting height and angle, and on throughput at peak — which is why the specification comes from the datasheet for the model quoted after a site survey, not from a web page. We publish no accuracy or capacity figure here, because one that is true for a controlled indoor reader is false for an outdoor gate in direct sun. Biometric access also is not appropriate everywhere: where the workforce or the regulator will not accept it, the right answer may be card plus PIN, and we will say so.
On your infrastructure, as encrypted templates rather than images. A template is a mathematical representation and cannot be turned back into a photograph of a face.
There has to be an alternative, and designing it is part of the deployment rather than an exception handled later. In several jurisdictions consent is not valid if the only alternative is not working.
Usually yes for the door hardware, and running card and biometric together is a common and sensible transition. The survey confirms what can be reused.
This page describes capability and method. It does not publish accuracy figures, throughput numbers or delivery dates, because those depend on your data, your systems and your scope — and a number published here would be wrong for most readers. You get them, in writing and against your own data, at scoping.
A first call is a technical conversation, not a pitch: what you have, what you need, and whether this is the right approach at all.
Every InsAI product runs on the same four-stage backbone.
ERP · IoT · BIM · CRM
Forecasting, detection, optimization
Acting on predictions, end to end
From the floor to the boardroom
Facial-recognition access control with multi-factor authentication and attendance.
Security Features
Verification successful
Secure · Private · Verified