The latest development of foreign face recognition technology
Morpho and others are developing google-like face recognition technology on the Internet
Morphia is working with IntelCenter to develop a google-like face recognition technology for The Internet, according to The Intercept. Morphia is working with IntelCenter to develop a google-like face recognition technology for The Internet, help law enforcement, intelligence and military agencies search for and identify terrorists. Morphia is an internationally known biometric technology provider that has previously worked with the FBI to develop facial recognition technology. The new technology combines advanced face recognition technology with a face database containing terrorist data. INTELCENTER is a well-known private intelligence company that provides services to government clients, including tracking information on the Internet, video, social media, hostage incidents, and information disseminated by terrorist organizations and their supporters. Some people have questioned the accuracy of the technology, saying that the facial recognition technology used by the FBI's Morpho company has only an 86% accuracy rate, which means that for every 100 faces identified, 14 of the faces were the result of a false positive. In fact, the performance of face recognition technology is affected by many factors such as the size of face database and the quality of face image. Whether a face is extracted from a low-light video or a clear driver's license photo, it is difficult to correctly identify features such as nose length or distance between the eyes. It is reported that the U. S. military in the use of biometric recognition, such as face recognition and fingerprint recognition technology to identify terrorists have a long history. U. S. soldiers in Afghanistan have developed hand-held biometric devices that can match targets based on Iris, fingerprints and facial features. The Defense Forensics and Biometrics Agency, or Defense Forensics and Biometrics Agency, also works on this issue. As counter-terrorism operations continue, biometric technology is increasingly being used in state and local law enforcement operations in the United States. MORPHO's partnership with IntelCenter is just one example. The Michigan State University has developed large scale face recognition technology. With the rapid deployment and application of video surveillance cameras, millions of face images and video images are produced worldwide every day. How to search these images quickly and accurately in order to find and identify criminal suspects or terrorists is a difficult and complex task. The Michigan State University developed a large scale face recognition technology at the end of 2015. The technology uses video surveillance images or crime scene images to quickly search large databases of faces and find suspects by getting a list of the best matches. The technology can process and search for unconstrained images that have changed posture, lighting and background, and is more accurate if integrated with NEC's Neoface algorithm. Using five million real world images from the Boston Marathon bombings, the researchers were able to accurately identify the suspects. Japan's Hitachi video analysis system has launched the latest video analysis system -- dubbed "Hitachi Video Analysis Hva" . The system combines computer vision technology and advanced analysis technology, can provide users with a variety of services. Operations and business intelligence: through the number of statistics, team detection, behavior analysis, flow direction statistics and image enhancement, for urban managers, airport managers and other optimization of operations to provide reference. Intelligent transportation, traffic and parking management: can provide vehicle count, flow analysis, parking detection and license plate recognition functions. Public Security: through intrusion detection, legacy detection, facial recognition and other technologies to help public security departments to ensure the safety of citizens and property. Hitachi video analysis system is composed of target detector, scene analyzer, video intensifier and Camera Status Monitor. The scene analyzer ensures that the analysis engine under each analysis module uses a custom algorithm to improve the analysis performance and accuracy Video intensifiers filter out distractions that can affect resolution, such as rain and snow; camera status monitors automatically detect tampering or damage to the camera and warn of problems.
