"Computers have been getting better and better at seeing movement on video. How is it that they read lips, follow a dancing girl or copy an actor making faces?"
– from Andrew Blake. Introduction to Active Contours and Visual Dynamics. Visual Dynamics Group, Department of Engineering Science, University of Oxford
The Israeli security forces have started to remove metal detectors installed at entry points to al-Aqsa Mosque compound in the occupied East Jerusalem. Israel installed metal detectors and security cameras after gunmen shot dead two Israeli guards near al-Aqsa compound - Islam's third holiest site - on July 14. Al Jazeera's Imran Khan, reporting from occupied East Jerusalem, said that hundreds of Palestinians protested against the security cameras with advanced face recognition software that won't be removed. OPINION: The al-Aqsa metal detectors aren't a security measure "Israeli forces fired rubber-coated steel bullets, stun grenades at the protesters, and more security forces were placed at the Lions' gate of the mosque," our correspondent said.
The video it posted explains how it works nicely, and shows how well thought through the app has been in its design, thanks in no small part to its London-based tech lead Saqib Shaikh, who has been blind since the age of seven. The information is then spoken to the user in almost real time. Some of the features available include the ability to read documents and signposts (including spoken instructions of where to point the phone if bits of a page are being missed), a face recognition function that can remember your friends and even give a hint to their mood based on facial expression, and the incredibly useful ability to discern between different bank notes in your hand. In addition there is a barcode scanner integrated, which means a person could point their phone at otherwise identical canned food and hear what they are, and get information such as ingredients and a use by date.
Imagine a recruiter can watch a video of your face and analyse your facial expressions. Face Recognition software is taking the world by storm. In Europe, a number of high-end hotels and retailers are reportedly using facial recognition to help identify VIPs and celebrities for preferred treatment when they enter the front door. Obviously, adding face recognition technology to this video platform could be of tremendous benefit to an employer.
AT THE start of this year, two straws in the wind caught the attention of those who follow the development of artificial intelligence (AI) globally. First, Qi Lu, one of the bosses of Microsoft, said in January that he would not return to the world's largest software firm after recovering from a cycling accident, but instead would become chief operating officer at Baidu, China's leading search engine. Another AI startup, iFlytek, has developed a voice assistant that translates Mandarin into several languages, including English and German, even if the speaker uses slang and talks over background noise. And Megvii Technology's face-recognition software, Face, identifies people almost instantaneously.
Pilot projects are underway at six U.S. airports -- Boston, Chicago, Houston, Atlanta, New York City and Washington, D.C. DHS aims to have high-volume U.S. international airports engaged beginning next year. Privacy advocates say making the scans mandatory for U.S. citizens pushes the nation toward a Big Brother future of pervasive surveillance where local and state police and federal agencies, and even foreign governments, could leverage citizens collected "digital faceprints" to track them wherever they go. In an October report, the Georgetown center estimated more than one in four U.S. state and local law enforcement agencies can run or request face recognition searches -- on their own or others' databases --and said federal agencies including the DEA, Immigration and Customs Enforcement and the IRS have all had access to one or more state or local face recognition systems. Another DHS initiative worrying privacy advocates is TSA's Precheck, the voluntary program designed to speed enrollees through airport security with more than 5 million enrollees.
So now, big companies are focusing on developing AI with low power and high speeds, hoping to make AI fit for mobile use. Professor Hoi-Jun Yoo of the Department of Electrical Engineering, along with his research team and collaboration with start-up company, UX Factory Co, has developed a semiconductor chip, CNNP (CNN Processor), which runs AI algorithms with ultra-low power, and K-Eye, a face recognition system using CNNP. The research team devised two key technologies to complete this: an image sensor with'Always-on' face detection and the CNNP face recognition chip. Additionally the face detection sensor combines analogue and digital processing to reduce power consumption.
To do so, programmers used facial recognition software that analyzes a person's face via a computer camera. While this prediction method shows promise, is it enough to call age prediction a science? In another program tested by the University of Washington, researchers focused on accurate predictions of young children. You might have fun using age progression websites that visualize your future, but the accuracy seems to vary between programs.
Today's Headlines, a popular local news app, is using facial recognition to verify partner writers, according to Xie Yinan, a spokesperson for Beijing-based facial-recognition startup Megvii, which licenses its technology to news and entertainment platforms. Computers can then analyze their facial movements and make cross references with national ID photographs to verify identities, Xie said. Meanwhile, many hotels, schools and kindergartens are installing cameras to scan people's faces before allowing entry. "China will remain ahead of western countries in using facial recognition," said Leng Biao, an associate professor at the School of Computer Science and Engineering at China's Beihang University.
HANGZHOU, CHINA - JANUARY 16: Alibaba employees watch an artificial intelligence robot named ET writing Spring Festival couplets at Alibaba's Xixi District on January 16, 2017 in Hangzhou, Zhejiang Province of China. The robot named ET writes exclusive Spring Festival couplets for each Alibaba employee after using face recognition technology and speech recognition technology. China is developing artificial intelligence in improving the capabilities of robotics, developing driverless cars, divining consumer preferences, inventory forecasting, selling enhanced products, and marketing goods and services. In 2014, Baidu poached Andrew Ng from the Google Brain project to lead the Baidu Research Institute (though he recently stepped down).
When building such a cognitive system, facial recognition and detection plays a huge role. The first automatic face recognition system was developed by Kanade in 1973, and it's since evolved to the highest level of performance with machine learning and system processing power. As empathic system and applications continue evolve, they're certainly not replacements for humans, but both empathic machines and humans will coexist. I'd like to hear your thoughts on the role empathy plays in machine learning.