face recognition

Ending Racial Biases in Face Recognition AI – Kairos – Medium


This resonates with me very personally as a minority founder in the face recognition space. So deeply in fact, that I actually wrote about my thoughts in an October 2016 article titled "Kairos' Commitment to Your Privacy and Facial Recognition Regulations" wherein I acknowledged the impact of the pr...

Face detection with Darknet Yolo


You only look once (YOLO) is a state-of-the-art, real-time object detection system. It comes with a few pre-trained classifiers but I decided to train with my own data to know how well it's made, the potential of Image Recognition in general and its application in real-life situations. If you are a...

CCTV cameras will soon have face recognition technology

Daily Mail

If you're afraid that security cameras are watching your every move, things could soon get a lot worse. CCTV cameras will soon be outfitted with facial recognition technology that scans and identifies faces in public 24/7. The technology is being developed as part of a partnership between semicond...

Facial recognition in Digital Age


Do you remember Hollywood movies Terminator: Rise of Machines or Ex Machina where facial recognition technologies are used in several ways? Today with digital technological advances, face recognition has become very important for businesses, to know who the customer is and send hyper-personalized offers to generate more revenues. Facebook has used facial recognition technology since 2011, to speed up the process of tagging friends or people in photos. When a user uploads an image to Facebook, the site's algorithms recognize the faces of friends and asks users if they would like to tag them. Security agencies were also early adopters of face recognition to identify suspicious behavior & threats to any big event or crowded areas like airports. Now some of the airports have installed facial recognition for smooth passenger movements through immigration hall, security, and arrivals. Now even iPhone x has the face recognition to unlock it. Face recognition is done by applying deep learning ...

Face-recognition software is perfect – if you're a white man

New Scientist

Face-recognition software can guess your gender with amazing accuracy – if you are a white man. Joy Buolamwini at the Massachusetts Institute of Technology tested three commercially available face-recognition systems, created by Microsoft, IBM and the Chinese company Megvii. The systems correctly identified the gender of white men 99 per cent of the time. But the error rate rose for people with darker skin, reaching nearly 35 per cent for women. The results will be presented at the Conference on Fairness, Accountability, and Transparency in New York later this month Face-recognition software is already being used in many different situations, including by police to identify suspects in a crowd and to automatically tag photos. This means inaccuracies could have consequences, such as systematically ingraining biases in police stop and searches. Biases in artificial intelligence systems tend to come from biases in the data they are trained on. According to one study, a widely used data set is around 75 per cent male and more than 80 per cent white. Read more: Is tech racist? The fight back against digital discrimination This article appeared in print under the headline "Face recognition's biases on show"

AI facial analysis demonstrates both racial and gender bias


Researchers from MIT and Stanford University found that that three different facial analysis programs demonstrate both gender and skin color biases. The full article will be presented at the Conference on Fairness, Accountability, and Transparency later this month. Specifically, the team looked at the accuracy rates of facial recognition as broken down by gender and race. "Researchers at a major U.S. technology company claimed an accuracy rate of more than 97 percent for a face-recognition system they'd designed. But the data set used to assess its performance was more than 77 percent male and more than 83 percent white." This narrow test base results in a higher error rate for anyone who isn't white or male. In order to test these systems, MIT researcher Joy Buolamwini collected over 1,200 images that contained a greater proportion of women and people of color and coded skin color based on the Fitzpatrick scale of skin tones, in consultation with a dermatologic surgeon. After this, Buolamwini tested the facial recognition systems with her new data set. The results were stark in terms of gender classification. "For darker-skinned women There have certainly been accusations of bias in tech algorithms previously, and it's well known that facial recognition systems often do not work as well on darker skin tones. Even with that knowledge, these figures are staggering, and it's important that companies who work on this kind of software take into account the breadth of diversity that exists in their user base, rather than limiting themselves to the white men that often dominate their workforces.

Robots Using Machine Vision in Retail Applications by RSIP Vision


Robotic automation can be found in shipment and distribution centers where they perform picking, sorting and packaging activities. These tasks are a natural evolution of automated warehouses – to which robots move in order to store and retrieve items. Identification of objects (aka object recogniti...