Facing Facts: Best Practices for Common Use of Facial Recognition Technologies.

摘要

In the 2002 film Minority Report, Steven Spielberg imagined a world in which companies use biometric technology to identify us and serve us targeted ads. Ten years later, that vision is coming closer to reality. Having overcome the high costs and poor accuracy that once stunted its growth, one form of biometric technology facial recognition is quickly moving out of the realm of science fiction and into the commercial marketplace. Today, companies are deploying facial recognition technologies in a wide array of contexts, reflecting a spectrum of increasing technological sophistication. At the simplest level, the technology can be used for facial detection; that is, merely to detect and locate a face in a photo. Current uses of facial detection include refining search engine results to include only those results that contain a face; locating faces in images in order to blur them; ensuring that the frame for a video chat feed actually includes a face; or developing virtual eyeglass fitting systems and virtual makeover tools that allow consumers to upload their photos online and try on a pair of glasses or a new hairstyle. A more refined version of facial recognition technology allows companies to assess characteristics of facial images. For instance, companies can identify moods or emotions from facial expressions to determine a players engagement with a video game or a viewers excitement during a movie. Companies can also place cameras into digital signs to determine the demographic characteristics of a face such as age range and gender and deliver targeted advertisements in real-time in retail spaces.