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New Orleans Scientists will use Israeli facial recognition technology - Walla! sport

2021-02-23T21:16:16.535Z


The football team uses AnyVision's facial recognition system, which has been proven to be gender-biased, allowing fans to enter games without the need for a ticket.


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New Orleans Scientists will use Israeli facial recognition technology

The football team uses AnyVision's facial recognition system, which has been proven to be gender-biased, allowing fans to enter games without the need for a ticket.

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  • New Orleans Saints

Walla!

sport

Tuesday, 23 February 2021, 22:59

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When the Louisiana Superdome is full again, no tickets will be needed (Photo: AP)

In London, entry to football stadiums without a ticket has been possible since 2018. A fan who has purchased an entrance ticket to a game scans his face using a smartphone and when he arrives at the stadium, the gate opens towards him, without showing a card and without touching anything.



The corona plague has accelerated the need for effortless contact solutions to minimize the contact of people with surfaces.

NFL football teams use facial recognition technology for a variety of purposes, including to allow players and staff to enter locker rooms or training facilities without touching anything.

New Orleans Scientists has chosen the non-contact entry system of Israeli AnyVision, to provide players and employees with safe access to its locker rooms and training facilities.



"We chose to move forward to face-recognition-based non-contact access systems even before the epidemic in favor of convenience and efficiency, and in the past year the issue of safety has become very significant. Gives players a sense of security, "said New Orleans Saints IT director Judy Barbier.

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Of high importance: neutralizing ethnic biases

Early versions of facial recognition algorithms suffered from ethnic and gender biases, so the chance of a black woman being misidentified was significantly higher than the chance of a white man being misidentified.

In American sports and especially in football, so the issue of ethnic biases of facial recognition systems is examined very carefully.



American football is very important that all the facial recognition solution used in stadiums does not violate the commitment to fair treatment and equality for fans of every race or ethnicity. At the height of the demonstrations Black Lives Matter Saints announced their support for the movement BLM protesting police violence against black communities.



AnyVision proved Its ability to neutralize ethnic biases and out of commitment to the subject conducted the Fair Face Recognition Challenge at the European Computer Vision Conference, which attracted 151 participants, from academic staff to start-ups, who received a database of video and stills and were asked to identify and match the images. the bias ethnic, ie if the images of people with skin color certain identified incorrectly more than other groups. the results of the 10 teams that reached the first places showed that awareness and training appropriate to completely eliminate biases ethnicity of systems for identifying faces and make them fair and ethical.



algorithms AnyVision are trained on the most diverse data including images of people of different races, ethnicities, genders and ages to ensure the highest level of accuracy in real-world conditions (compared to academic experiments

Yam usually held in laboratories).

As a result, AnyVision's technology was able to completely eliminate the biases that were common in early face recognition algorithms.



AnyVision CEO Avi Golan told Walla! Sport: "It is important to understand that not all facial recognition systems are identical to each other and like any technology, it has the potential for misuse.

In the absence of a regulatory framework on face recognition it is important for us to work with organizations that are committed to investing in fair, safe and reliable technology.

We encourage our customers to do their research and testing, and then demonstrate how excellent facial recognition systems should work. "

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Source: walla

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