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An employee exhales into the breathalyzer while the camera captures their face. If all is normal, the access control system grants entry.
4 different facilities

1 screening standard

Using AI to accelerate pre-shift employee screening and prevent identity swaps

Using AI to accelerate pre-shift employee screening and prevent identity swaps

20,000 employees

screened daily
Prevent personnel from accessing a shift while intoxicated
Mitigate the risks of fraud and human error
Deploy the solution on the existing infrastructure without hiring additional personnel
Speed up mass entry during peak hours to eliminate bottlenecks

Client challenge

We integrated FindFace Multi at pre-shift checkpoints (camera placed at the breathalyzer) and connected it to the existing access control system.
More about the Product

Our Solution

The employee approaches the post, where the breathalyzer and camera are activated. The breathalyzer measures the concentration of alcohol vapor in exhaled breath.
1.
The system combines the results and sends a command to the ACS: "grant access" or "deny access".
3.
If access is denied, the system sends notifications to supervisors and creates a log entry for later review.
4.
FindFace Multi verifies the face against the shift list and confirms identity.

2.

How it works

How AI solves the challenges

Attempted entry using someone else's badge or photo
The system performs a Liveness verification and cross­references the individual against the shift list. The system blocks entry to eliminate the risk of identity swaps.
Massive bottleneck at entrance during shift start
The system runs face recognition in parallel with a breathalyzer test to accelerate access and reduce queues
Alcohol detected in exhaled breath
The breathalyzer flags the excess alcohol, and the AI confirms the identity of the person in front of the camera. The system denies entry and sends an alert to the supervisor.
Post-incident review required
The log stores the time, checkpoint, status, and video frame. The review is fast and fact-based.
We can deploy a pilot program using your existing infrastructure and demonstrate initial results within weeks.
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Deploying the solution locally

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