Unicity Detection

Reinforce your gate security offering through state of the art vision while significantly reducing your CAPEX/OPEX





Higher grade intelligence, Higher grade security

We see what other systems don't in a lightweight embedded zero latency package that complies with all privacy legislations. Gone are the days of imprecise false positives and expensive time of flight hardware and GPUs.

Person Detection

Key Point Detection


Time in Gate

Attribute Detection

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Rapid Camera Calibration


Log Analysis

Traffic per billboards

Attention level

Dwell Time

Counting people

Age detection

Gender detection

Counting vehicles

Types of vehicles

Mask detection

Density level

Mask detection

Fraud detection

Counting people

Age detection

Gender detection

Usage level

Attention level

Dwell time

Counting people

Age detection

Gender detection

The private by design alternative to ToF


Privacy legislation compliance

    Vision processing 100% on the edge 
    End user images are never stored locally
    User identity is never processed or tracked


We see what other systems can't

    98% Precision
    6x faster and 16x lighter algorithms
    30% gain in inference on CPUs
coin, money, dollar, hand, economy


Increased cost savings with increased agility

    +3K€/$/£ in CAPEX savings per gate 
    10% less energy consumption
    Less than 15 min to configure new gates

Success Story

Higher levels of accuracy while preserving end-user anonymity

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Improving Border Crossings


Datakalab reduces hardware costs and energy consumption, while increasing the accuracy of unicity detection by 30%.

  • "We are delighted with our partnership with Datakalab which marks a turning point in the history of intelligent border crossings. This solution has the advantage of being scalable and will allow for flexible handling of any new constraint or evolution requested by states and operators alike."

    Yann Haguet, EVP Identity Solutions, d’IN Groupe.

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Provide the best experience


Increased daily operational decisions and reduced by 10% the use of equipment performing intelligent algorithm inference.

  • "The Covid crisis19 has particularly modified mobility behaviors and these new solutions could allow us to observe more accurately the evolution of demand according to travel restrictions, but also contribute to strengthening traveler information to allow them to adapt their trip according to the number of people on board."

    xxxx, xxxx at SNCF Réseau.

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Enforcing barrier gestures


Allow advertisements to run encouraging users to put on face masks when 80% of the them is not wearing them.

  • "The experimentation showed that the mask was more respected during the week than at the weekend, with peaks at office hours, around 8am and then around 5:30pm. It also allowed us to assist the operators on a daily basis, in a more reactive manner, in particular by triggering sound signals when the barrier gestures were not sufficiently respected." 

    Xavier Fischer, CEO at Datakalab.

Have questions?

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