Showing posts with label facial recognition. Show all posts
Showing posts with label facial recognition. Show all posts

The Corbett Report | Thwarting Facial Recognition - #SolutionsWatch | May 16, 2023

Source: corbettreport.com



We all know about the danger of a future society where we're all tracked everywhere we go every single day in real time by our phones or devices . . . but actually, it's worse than that! You're already being tracked everywhere you go, every day, and it doesn't matter whether you leave your phone at home just as long as you bring your face. Today on #SolutionsWatch, James explores some of the options that are on the table for heading off the facial recognition dystopia.

Show Notes:

US police forces using controversial facial recognition technology
Why the Military Use of Clearview AI is Dangerous
Clearview AI used by US police for almost 1M searches
Clearview AI Copied 30B Images Without Users’ Permission from Social Media Sites; Customers Include “more than 3,100 US agencies”
Are you who you say you are? TSA tests facial recognition technology to boost airport security
Facewatch Gets UK Code of Practice Certification for Live Retail Facial Recognition
Iran uses new surveillance network to crack down on women not wearing a hijab
Nullification - #SolutionsWatch
Michael Maharrey on Facial Recognition Pushback
Second California Assembly Committee Passes Bill to Extend Temporary Ban on Facial Recognition with Police Body Cameras
To the Governor: Montana Passes Bill to Limit Warrantless Use of Facial Recognition Technology
Hong Kong lasers
Cap_able
4409 -- Interview with ABC15 News: Easter Bunny eggs photo radar!
Simple Sabotage - #SolutionsWatch

The Corbett Report | Michael Maharrey | Facial Recognition Pushback | Jan. 9, 2020

Source: corbettreport.com, Tenth Amendment Center



Today Michael Maharrey of the Tenth Amendment Center joins us to discuss the recent legislative successes that have helped to push back on the encroaching facial recognition panopticon . . . and what remains to be done to combat this technocratic tyranny.

Show Notes:
Michael Maharrey blog at the Tenth Amendment Center
Michael Maharrey on The Corbett Report
Alameda California Takes First Step Toward Banning Facial Recognition
Now in Effect: California Law Bans Facial Recognition on Police Body Cameras
Three and Counting: Northampton Massachusetts Passes Facial Recognition Ban
San Diego Shuts Down Massive Facial Recognition System to Comply With New California Law
Perpetual Lineup
San Francisco Amends Facial Recognition Ban After Realizing City Employees Could No Longer Use Smartphones
How You Can Help End Unconstitutional Wars (Maharrey on Foreign Policy Focus podcast)

Algorithm Is First to Identify Faces Better Than Humans Can, April 23, 2014

Source: discovermagazine.com













By Carl Engelking

Let’s face it, from trivia to teaching, computers are doing things we thought were uniquely human — and doing them better. Now, facial recognition, a skill humans once dominated, has a new champion. Computer scientists have developed a facial recognition algorithm that, for the first time, outperforms humans’ own abilities.

Facial recognition systems are already better than humans at comparing two images to determine if they are the same person, but only when variables like lighting, pose and expression are controlled. When you shake things up, humans still correctly identify faces with over 97 percent accuracy; before now no other algorithm had come close that mark. However, scientists’ new algorithm, called GaussianFace, performed the feat with an accuracy of 98.52 percent.

Training the Champ
The new algorithm condenses each face it “sees” into a small image to position the eyes, nose, and corners of the mouth in consistent locations. Then, it further divides the image into small, overlapping squares and mathematically charts each square’s unique characteristics, allowing it to compare two images.

Scientists trained the algorithm to look for correct facial features by setting it loose on four massive datasets of face images. Once training was complete, it was time for the main event: Labeled Faces in the Wild (LFW).

LFW is a dataset of 13,000 face images, and is considered the gauntlet for face recognition algorithms. It challenges programs to determine whether a pair of pictures is the same person or different people. However, each photo switches up angles, lighting, makeup and expressions to really test an algorithm’s proficiency.

The GaussianFace algorithm emerged from the test a champion, beating humans’ 97.35 percent average performance on LFW. The algorithm could someday be used in myriad applications including security, image retrieval, and biometric credentials for our computers and mobile devices. The scientists published their findings earlier this month in the online journal arXiv.

Want to see how you’d do against the computer? Check out Medium’s collection of facial images and see if you can tell which are matches.
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