One-Way-Mirror Society: High Privacy Risk Consumer Tracking Technologies
Facial recognition technology was initially developed for security purposes, but it has found a new use in digital signage for marketing and ad targeting purposes. Essentially, the process is that a camera captures an individual’s image, then checks it against algorithms that analyze at least 80 facial characteristics, such as distance between eyes, length of the face, width of the face, depth of eye sockets, and so forth. [48] Layers of algorithms are used to crunch the facial information into determinations about a person’s age bracket, gender, and ethnicity. The next efforts are going toward coding the facial expressions of shoppers to “capture their emotional reactions to in-store environments.” [49]