Reconnaissance faciale |

5 façons dont le SAFR excelle dans la reconnaissance faciale pour la vidéo en direct - et pourquoi vous devriez vous en soucier

In the computer vision industry, SAFR is distinguishing itself as the premier facial recognition platform for live video. What does live video mean?

La vidéo en direct capture des images sauvages : visages en mouvement (sujets au flou) ; visages dans de mauvaises conditions d'éclairage (y compris les ombres ; visages à des angles, inclinaisons et lacets variables) ; visages partiellement obscurcis (par le maquillage, les lunettes, les chapeaux et la pilosité faciale). Pour ajouter à la complexité, on trouve souvent plusieurs de ces images sauvages en même temps sur les flux vidéo en direct. Ce sont là quelques-uns des défis à relever pour parvenir à une reconnaissance faciale précise dans des conditions réelles.

Think of it like this: It’s much easier to identify someone from a still image, like a passport photo, than a live video feed. Passport photos require specific compliance for a clear, unobstructed facial view — subjects must look straight at the camera; have a neutral expression; appear against a plain background with good lighting and no shadows; and comply with rules on eyeglasses, hair, head coverings, and clothing. If humans were simply a collection of passport images moving about the world, facial recognition of camera-unaware people would be much easier.

SAFR was designed to excel at identifying wild images, instantly detecting and matching millions of faces in real time. Why should this matter to you? Because correctly identifying people in real-world conditions, in real time, makes the following scenarios (and more) possible:

  • Immediately identifying threats among large crowds at schools and entertainment venues, and automatically initiating alarms and other security responses to to help eliminate the chance to cause harm.
  • Providing real-time crowd analytics for entire stadiums to detect crowd patterns and make real-time staffing adjustments at concessions, entry, and exit points as fans move throughout the venue.
  • Using your face to unlock more than just your mobile phone: Check in for your doctor’s appointment, visit a family member in the hospital, register your rental car, gain entry to your gym, and more.

The list of use cases goes on — but only when facial recognition is optimized for live video. To that end, there are five key factors that make SAFR ideal for a wide range of live video facial recognition use cases and customers:

1. Accuracy

SAFR is 99.86% accurate and among the least-biased facial recognition algorithms.

According to the University of Massachusetts benchmark database, SAFR has a proven 99.86% accuracy for Labeled Faces in the Wild (LFW). What also contributes to this near-perfect accuracy is having one of the lowest rates of bias with regard to skin tone and gender, according to the National Institute of Standards and Technology (NIST). Out of more than 100 algorithms tested by NIST, SAFR performs consistently across a range of skin tones due to its massive and highly diverse global training set.

2. Speed

SAFR matches against millions of faces in under one second.

In the April 2019 NIST results, SAFR tested as the fastest among algorithms for wild images (camera-unaware faces in motion) with less than 0.022 False Non-Match Rate (FNMR), and was 62% faster than the average speed. It’s challenging to capture a single clear image from live video, but SAFR’s rapid speed allows it to capture multiple images 3-5 times faster than competitors. As a result, SAFR can quickly zero in on the best reference image and deliver a more accurate match. Additionally, SAFR’s advantage in speed makes it well suited to large-scale deployments, such as live entertainment venues, sports stadiums, and public transit centers. When it’s necessary to process hundreds of thousands of faces in real time, SAFR does so exponentially faster than any other solution on the market.

3. Size

SAFR is the most compact facial recognition algorithm on the market.

In the April 2019 NIST results, SAFR tested as 44% smaller than the second-smallest among algorithms with less than 0.022 FNMR. This compact size allows SAFR to operate at the edge, at a mere quarter of the processing power required by competing software for live video. It also means cost-efficient performance and scalable deployment, up to thousands of cameras, reducing the total cost of ownership (TCO) and making SAFR optimized for a wide variety of applications.

4. Flexibility

SAFR is easy to deploy and designed to scale.

To unlock the full potential of facial recognition technology, it needs to be adaptable and scalable. SAFR requires no special equipment, uses virtually any IP-based camera, and is designed to scale from a single camera to thousands. SAFR can be hosted on premises or in the cloud, and its compact size makes it the best solution for embedded or edge deployments. SAFR is also highly secure and built using privacy by design principles. The flexibility of SAFR is suited to a diverse range of use cases.

5. Cost-Efficiency

SAFR has a competitively low TCO.

SAFR’s distributed architecture enables efficient processing of live video — from detection to recognition. With edge intelligence, CPU optimizations, the ability to leverage inexpensive GPUs, tunable image resolution, and a competitive pricing model, SAFR’s total cost of ownership is markedly lower than other facial recognition platforms.

Un héritage de confiance, un avenir prometteur

L'approche innovante de SAFR en matière de vidéo en direct s'appuie sur plus de 20 ans de leadership mondialement reconnu dans les technologies vidéo. À chaque déploiement, SAFR façonne l'avenir grâce à une innovation permanente, un engagement à l'amélioration continue et un écosystème croissant de les partenariats stratégiques mondiaux. Cette technologie est très prometteuse, qu'il s'agisse de sécuriser les écoles et les centres de transport, de récompenser les clients réguliers dans les points de vente au détail ou de fournir des analyses puissantes en temps réel pour l'entonnoir de vente d'une entreprise. Oui, SAFR transforme la vie quotidienne pour qu'elle soit plus sûre, plus pratique et plus informée. Les conditions du monde réel n'ont jamais semblé aussi bonnes.

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