Face Recognition

The Secretive Company That Might End Privacy as We Know It


Until recently, Hoan Ton-That's greatest hits included an obscure iPhone game and an app that let people put Donald Trump's distinctive yellow hair on their own photos. Then Mr. Ton-That -- an Australian techie and onetime model -- did something momentous: He invented a tool that could end your ability to walk down the street anonymously, and provided it to hundreds of law enforcement agencies, ranging from local cops in Florida to the F.B.I. and the Department of Homeland Security. His tiny company, Clearview AI, devised a groundbreaking facial recognition app. You take a picture of a person, upload it and get to see public photos of that person, along with links to where those photos appeared. The system -- whose backbone is a database of more than three billion images that Clearview claims to have scraped from Facebook, YouTube, Venmo and millions of other websites -- goes far beyond anything ever constructed by the United States government or Silicon Valley giants.

LEAK: Commission considers facial recognition ban in AI 'white paper'


The European Commission is considering measures to impose a temporary ban on facial recognition technologies used by both public and private actors, according to a draft white paper on Artificial Intelligence obtained by EURACTIV. If implemented, the plans could throw current AI projects off course in some EU countries, including Germany's wish to roll out automatic facial recognition at 134 railway stations and 14 airports. France also has plans to establish a legal framework permitting video surveillance systems to be embedded with facial recognition technologies. The Commission paper, which gives an insight into proposals for a European approach to Artificial Intelligence, stipulates that a future regulatory framework could "include a time–limited ban on the use of facial recognition technology in public spaces." The document adds that the "use of facial recognition technology by private or public actors in public spaces would be prohibited for a definite period (e.g. More generally, the draft White Paper, the completed version of which the Commission should publish towards the end of February, features five regulatory options for Artificial Intelligence across the bloc. A Voluntary Labelling framework could consist of a legal instrument whereby developers could "chose to comply, on a voluntary basis, with requirements for ethical and trustworthy artificial intelligence." Should compliance in this area be guaranteed, a'label' of ethical or trustworthy artificial intelligence would be granted, with binding conditions. Option two focuses on a specific area of public concern – the use of artificial intelligence by public authorities – as well as the employment of facial recognition technologies generally. In the former area, the paper states that the EU could adopt an approach akin to the stance taken by Canada in its Directive on Automated Decision Making, which sets out minimum standards for government departments that wish to use an Automated Decision System. As for facial recognition, the Commission document highlights provisions from the EU's General Data Protection Regulation, which give citizens "the right not to be subject of a decision based solely on automated processing, including profiling." In the third area which the Commission is currently priming for regulation, legally binding instruments would apply only "to high–risk applications of artificial intelligence.

Facial recognition: EU considers ban


The European Commission has revealed it is considering a ban on the use of facial recognition in public areas for up to five years. Regulators want time to work out how to prevent the technology being abused. The technology allows faces captured on CCTV to be checked in real time against watch lists, often compiled by police. Exceptions to the ban could be made for security projects as well as research and development. The Commission set out its plans in an 18-page document, suggesting that new rules will be introduced to bolster existing regulation surrounding privacy and data rights.

Case Study: Face Recognition Transforms Thailand's Mobile Banking Sector [NEC Official]


The Siam Commercial Bank (SCB) provides a leading online banking platform to let customers open an account through its mobile banking application, eliminating the need to visit a physical branch. NEC provided SCB with Know Your Customer a sacure face recognition solution to achieve this. With our focus on Solutions for Society, NEC's goal is to lead the advancement of the world's social infrastructure by leveraging ICT and new business models. Our Solutions for Society activities will become the pillars of NEC over the company's next 100 years. Find NEC on Facebook: https://www.facebook.com/nec.global

EU eyes temporary ban on facial recognition in public places

The Guardian

The EU could temporarily ban the use of facial recognition technology in public places such as train stations, sport stadiums and shopping centres over fears about creeping surveillance of European citizens. A prohibition lasting between three and five years is seen as a way for Brussels to manage the risks said to be posed by the breakneck speed at which the software is being adopted. The option is contained in an early draft of a European commission white paper obtained by the news website Euractiv. The final version is due to be published in February as part of a wider overhaul of the regulation of artificial intelligence. The draft document points to the right under the General Data Protection Regulation for EU citizens "not to be subject of a decision based solely on automated processing, including profiling."

Despite what you may think, face recognition surveillance isn't inevitable


Last year, communities banded together to prove that they can--and will--defend their privacy rights. As part of ACLU-led campaigns, three California cities--San Francisco, Berkeley, and Oakland--as well as three Massachusetts municipalities--Somerville, Northhampton, and Brookline--banned the government's use of face recognition from their communities. Following another ACLU effort, the state of California blocked police body cam use of the technology, forcing San Diego's police department to shutter its massive face surveillance flop. And in New York City, tenants successfully fended off their landlord's efforts to install face surveillance. Even the private sector demonstrated it had a responsibility to act in the face of the growing threat of face surveillance.

Privacy concerns over Russia's 'most popular search engine' Yandex as its uses facial recognition

Daily Mail - Science & tech

A Russian search engine is being accused of providing an unregulated facial recognition system to members of the public -- violating personal privacy. Experts have slammed the feature as'poor' and'creepy' while dubbing it a'definite privacy concern'. Yandex, much like Google, Bing and other search engines, allows users to input an image and see similar results. But only Yandex, which claims to conduct more than 50 per cent of Russian searches on Android, produces images of the exact same person. MailOnline tested the image search facilities of Yandex, Bing, Google and specialist site TinEye by submitting a photo that was not available online.



While not required, for optimal performance it is highly recommended to run the code using a CUDA enabled GPU. In order to specify the device (GPU or CPU) on which the code will run one can explicitly pass the device id.

The Military Is Building Long-Range Facial Recognition That Works in the Dark


The U.S. military is spending more than $4.5 million to develop facial recognition technology that reads the pattern of heat being emitted by faces in order to identify specific people. The technology would work in the dark and across long distances, according to contracts posted on a federal spending database. Facial recognition is already employed by the military, which uses the technology to identify individuals on the battlefield. But existing facial recognition technology typically relies on images generated by standard cameras, such as those found in iPhone or CCTV networks. Now, the military wants to develop a facial recognition system that analyzes infrared images to identify individuals.

Software detects backdoor attacks on facial recognition


As the U.S. Army increasingly uses facial and object recognition to train artificial intelligent systems to identify threats, the need to protect its systems from cyberattacks becomes essential. An Army project conducted by researchers at Duke University and led by electrical and computer engineering faculty members Dr. Helen Li and Dr. Yiran Chen, made significant progress toward mitigating these types of attacks. Two members of the Duke team, Yukun Yang and Ximing Qiao, recently took first prize in the Defense category of the CSAW '19 HackML competition (see Related Links below). "Object recognition is a key component of future intelligent systems, and the Army must safeguard these systems from cyberattacks," said MaryAnne Fields, program manager for intelligent systems at the Army Research Office. "This work will lay the foundations for recognizing and mitigating backdoor attacks in which the data used to train the object recognition system is subtly altered to give incorrect answers. Safeguarding object recognition systems will ensure that future Soldiers will have confidence in the intelligent systems they use."