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Facial recognition hardware

329 26.07.2019
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Facial recognition system

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Hardware Solution for Real-Time Face Recognition - IEEE Conference Publication

In recent years, improvements in AI and machine learning have prompted the rise of a relatively new type of tech that most of us call facial recognition. This new technology has the potential to replace older methods of people identification, like fingerprints, iris scans, voice recognition, handprints, passwords, and even physical ID cards — leading to significant process improvements and efficiency gains across sectors. The end goal of developing facial biometrics and using it to identify individuals is increasing security and minimizing the number of fraudulent transactions and cybercrime, which have become commonplace in the digital era. As facial tech improves and becomes more accurate, face detection is expected to disrupt various industries, including private and public surveillance and security , forensics and criminology, banking and finance , and public administration, to name a few. How exactly does this innovative technology work?
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The face recognition company

The Face Recognition hardware we provide is based on industry standard hardware components where possible. Any specific bespoke hardware that is required we design and manufacture ourselves. The specification of cameras is calculated for each customer requirement. Whether it be for analytics and recognition or more for one to one validation we suggest the best model for what we are looking to achieve. We have a relationship with IDS for their machine vision cameras and Ricoh for the lenses.
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Identify multiple faces quickly and accurately for scenarios ranging from home and commercial security to retail and consumer devices. Add face recognition capabilities to existing products without needing to upgrade or change hardware. Our deep learning models allow you to create self-contained solutions that can learn new faces with as few as 3 images - without cloud-based resources. Other solutions require expensive mobile processors or a neural or GPU accelerator.

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