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Facial Detection

Determine the presence of a face

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Facial Identification

Match with other found faces to create anonymous record of activity

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Facial Verification

Match to existing user database for individual identify verification

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Image/Video Analysis

Analyze still images or video stream, from both uploads or live capture

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Crowd Analysis

Pick out the closest face in a crowd to analyze, or analyze all faces in a crowd

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Object Detection

List any objects found in the image frame

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Third-party Integrations

Integrate with third party applications for CRM, access control, etc.

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Runs on Any System

Available on Mac OS; Windows; Linux; Mac iOS; Android; Raspberry Pi; IP Cameras, etc.

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API Access

Sign up for API access to develop your own integrations

“Facial recognition is undergoing something of a revolution. The underlying technology has changed. The old tech has been replaced by a new generation of algorithms, and they’re remarkably effective.” - Patrick Grother, NIST

"Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry." - Steve Jurvetson, Venture Capitalist

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HOW IT WORKS

  • Simple API Integration
  • Runs on a variety of hardware - phones, tablets, IP cameras, AR glasses, etc.
  • Only 8px camera resolution required for facial recognition
  • Facial matching with greater than 99% accuracy
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HOW TO MANAGE

  • Web access to the administrative dashboard
  • Manage users' functionality and permissions
  • Register and authenticate recognition devices
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HOW TO USE

  • Sign up is quick and simple - all you need is an email address and a selfie
  • Opt-in required; you control your ability to be identified
  • We put users' privacy first

Our Partners

Tyco logo
C-Cure logo
Remote Lock logo
Hubspot logo
Vuzix logo
Keri logo
DMP logo
Axis logo

“The best way to enhance security is through facial recognition — it’s going to be the standard very soon.” - Kesha Williams, Software Engineering Manager of Chick-fil-A

“It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.” - Andrew Ng, Computer Scientist

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LOYALTY, RETAIL & HOSPITALITY

Think of how busy the average consumer is. The chances they either forget to enter their loyalty information or have to make multiple trips because they forgot something on their list is high. Imagine taking the responsibility of identification away from the consumer and putting it back in your own hands.

With TensorMark facial recognition, you can immediately know who the consumer is upon entry, how often they frequent the store, and what they purchased last. This not only saves time logging consumer loyalty information, but directly relates to being able to easily implement targeted marketing based on shopping frequency and preferences.

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BANKING SERVICES & FINTECH

A picture is worth a thousand words. A picture of a face can save you thousands.

ATM users are verified by TensorMark’s facial recognition platform in addition to their PIN. This effectively reduces fraud risk and security threats without adding more time or pain to the user experience.

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security

CORPORATE & PERSONAL SECURITY

In the age of fake IDs it is all too easy to replicate keycard identification keys. This poses a major threat to the ability to control who is entering buildings and what they may access once inside. Think of the one form of identity that is impossible to duplicate: facial recognition.

Using TensorMark security means knowing exactly who can gain entrance as well as where they are within the building. The faces are scanned against who should be allowed to enter, as well as known offenders. Once individuals are inside, they can be tracked for location access to make sure they are not entering areas that are off limits to them.

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EDUCATION

Be alerted to threats to safety on campus. TensorMark brings security to schools of all sizes by analyzing all faces of a crowd at each entrance, ensuring that every potential threat is flagged and accounted for.

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