Major advancements are being made in the field of Facial Recognition but the technology is still in the early stages of development. Right now, it is possible to accurately identify persons from a series of images provided if we have a small database from which the algorithm has to search from but if the database goes extensive with images of many persons, the time for the person to be identified can exceed by a huge margin. And in practical scenarios, we need results in a matter of seconds or so. Therefore it is not convenient to deploy this tech right now but it still presents a promising future in the area of crime fighting and tracking of fugitives. By using Facial Recognition with the combination of Azure Cloud Services or Amazon Web Services etc, if a police officer is wearing a helmet with a webcam and scanning a crime scene, it is possible for him to identify suspects who have a past criminal history.
ZHENGZHOU, China - In Zhengzhou, a police officer wearing facial recognition glasses spotted a heroin smuggler at a train station. In Qingdao, a city famous for its German colonial heritage, cameras powered by artificial intelligence helped police snatch two dozen criminal suspects in the midst of a big annual beer festival. In Wuhu, a fugitive murder suspect was identified by a camera as he bought food from a street vendor. With millions of cameras and billions of lines of code, China is building a high-tech authoritarian future. Beijing is embracing technologies like facial recognition and artificial intelligence to identify and track 1.4 billion people.
An advanced research arm of the U.S. government's intelligence community is looking to develop AI capable of tracking people across a vast surveillance network. As reported by Nextgov, the Intelligence Advanced Research Projects Activity (IARPA) has put out a call for more information on developing an algorithm that can be trained to identify targets by visually analyzing swaths of security camera footage. The goal, says the request, is to be able to identify and track subjects across areas as large as six miles in an effort to reconstruct crime scenes, protect military operations, and monitor critical infrastructure facilities. To develop the technology, IARPA will collect nearly 1,000 hours of video surveillance from at least 20 camera networks and then, using that sample, test various algorithms effectiveness. The agency's interest in AI-based surveillance technology mirrors a broader movement from governments and intelligence communities around the globe, many of whom have ramped up efforts to develop and scale systems.
Facial recognition technology will change the world. Still emerging into the mainstream, facial recognition technology has the potential to reshape that way you interact with the fringes of both the digital and real world. For the uninitiated, facial recognition is a biometric technology that scans people's face, photographs and recognizes them as an individual. Impressively, the technology can identify facial features like the space between the eyes, the depth of the eyes sockets, the width of the nose, cheekbones and the jawline.