Edwin Coello, was quoted saying, “Five years ago you probably have endless detectives looking through videos and images of arrested individuals based on descriptions…It could take several hours or several days. The head of the NYPD facial recognition unit, Sgt. The system returned several hundred potential matches, and after multiple stages of human review, it took NYPD only one hour to identify the suspect. Within minutes, detectives pulled still images of the suspect from security footage and used facial recognition software to compare them to mug shots in the NYPD’s arrest database. New York City Police Department (NYPD) detectives used facial recognition technology to identify a man who sparked terror by leaving a pair of rice cookers in the Fulton Street subway station. Catching a Suspected New York City Subway Terrorist This can improve response times, or ultimately help prevent or mitigate harm from such attacks – saving lives in the process. Counterterrorismįacial recognition technology can be used in emergencies where a suspected terrorist attack is imminent or underway, by dramatically reducing the timed needed by first responders and investigators to generate leads and identify suspects. Here are several examples of positive use cases of facial recognition technology and “success stories” highlighting how the technology can help protect against violence, theft or other harm. At the same time, the technology allows individuals to quickly and conveniently prove their identity to enter a venue, board a plane, perform online transactions and seamlessly access personalized experiences. Use of facial recognition technology has benefited Americans in countless but underpublicized ways – helping law enforcement find missing children, fight human trafficking, find dangerous criminals and bring sexual predators to justice. View the PrinciplesĪdvances in computing power, combined with rapid improvements in the quality of photo and video technology developed by the security industry over the last 15 years, have allowed facial recognition technology to develop and mature. Explore our new principles for development and deployment of facial recognition tech across safety and security applications. SIA believes facial recognition must be used only for purposes that are lawful, ethical and nondiscriminatory. New: Introducing SIA’s Core Principles for Facial Recognition Technology Use
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |