Facial recognition for acess control and time & attendance systems

A look is all it takes. The path to smart authentication with embedded AI

Just like a fingerprint, every human face is unique – making it an ideal biometric feature for secure authentication. Whether for access control, time tracking, or safeguarding sensitive machinery, facial recognition systems offer companies new opportunities for convenient, contactless security solutions. But with great potential come new challenges – especially regarding data privacy and protection against spoofing attacks.

In a recent study, TQ-Embedded examined the specific requirements that modern embedded processors and NPUs must meet to enable powerful, GDPR-compliant facial recognition.

At the center of the analysis: a direct comparison of the i.MX 8M Plus and i.MX 93 SoCs.

How much processing power does an NPU really need for this use case? And could an energy-efficient processor with a smaller NPU already be enough to power intelligent access solutions?

Download whitepaper now

Four pages of the fanned-out white paper Face AI

What you’ll learn in this whitepaper:

How much computing power does facial recognition really require?
Is GDPR-compliant facial recognition actually feasible?
How can facial recognition be efficiently integrated on embedded systems?
How can spoofing attacks be detected and prevented?
Where does embedded facial recognition make the most sense in real-world applications?

Get your free whitepaper here

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Unbeatable long-term availability
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