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Smart Screen Traffic Light

Occupancy monitoring system

Anonymously measure real-time store occupancy

Inform visitors when max occupancy is reached

Check for face masks

Set maximum occupancy levels

Store and review historic occupancy data

Show digital ads when screen is idle

Everything you need to get started with occupancy counting

 

✔  Real-time analysis

✔  99% accurate people counting

✔  Spoof proof face mask detection

✔  Monitor multiple entrances and exits

✔  Fast and easy installation

✔  Anonymous analysis

✔  Affordable and scalable solution

Use Cases

Retail

Automatically control and limit the number of customers within a store with our sensors to ensure keeping your customers and employees safe. Designed to work perfectly in stores with single or multiple entrances.

Corporate Offices

Access to workplaces and buildings has changed since the spread of the virus and technology can be great tool for keeping everyone safe once they start coming back to the shared office spaces.

Airports

Airports and the aviation business need to reassure customers that safety regulations are implemented and followed to make sure their travel is as safe as possible.

restaurant bars and clubs

Restaurants, Bars and Clubs

With nightlife and restaurants reopening it is crucial to follow guidelines set by the government and informing customers of the precautionary safety measures taken.

How does our Occupancy Monitoring work?

Long-term value of Occupancy Tracking

Monitor foot traffic and optimize store performance

Real-time occupancy can give you insights into the high, mid and low peak hours of your store. Use this data to optimize your staff allocation and scheduling.

Track the performance of your digital ads

Measure the ROI of your digital campaigns by counting the number of impression and viewers and collecting their demographic data.

Improve customer experience

A happy customer is a returning customer. Occupancy data gives you the opportunity to optimize your store layout and adapt it to the changing flow rates.

Ready to try the smart screen traffic light solution?

Technical Specifications

The table below shows how FaceMatch SDK performs on the Labelled Faces in the Wild (LFW) dataset:

FPRTPRThreshold (Inverse of distance)
0.10.99900 ±0.002130.55448
0.010.99667 ±0.005370.59791
0.0010.99367 ±0.006050.62989

FPR = False Positive Rate
TPR = True Positive Rate

These results are an indication only and are based on the specific dataset Labelled Faces in the Wild. Customers can expect similar performance, with possible variations due to hardware and the availability of annotated data.