Breakthroughs in Face Detection Abilities and Applications using Information Technology

Technologies surrounding face detection and recognition are advancing by the minute and cutting-edge integrations are surfacing, ever-increasingly, in consumer markets. Although face recognition technology had been for the longest time typecast for use in security and surveillance, its application in other sectors is progressively being studied, such as in gauging specific metrics, which companies can use to predict and influence consumer behavior, thus helping them accelerate revenue growth.

Biometrics or the automated recognition of an individual based on biological, or more specifically, physiological and anatomical characteristics helps face detection technologies identify and in turn, authenticate the identity of individuals based on images captured by a camera. Nowadays, the technology behind face recognition applications and systems use complex calculations to be able to compare the images they capture by means of compound specifications like the distance between the eyes, eyebrows, cheekbones, and other measurable characteristics.

Higher and stronger computing power also means more complex abilities for face recognition technologies. Megapixel cameras for instance, allow for capturing sharper images, which enable more accurate face detection. Face recognition accuracy is further enhanced by more reliable and robust algorithms, which now fuel face recognition software solutions and systems.

These breakthroughs in face detection are expanding applications for the technology way beyond its use in the security industry. In addition to identification and surveillance applications in police and military facilities, airports, and the like, more civic uses for the technology are emerging such as demographic analysis applications, which helps determine the total number of people in a crowd. More advanced applications even have an ability to tell apart sex, recognize age, and detect mood. Development of face detection applications are increasing in more fields, from strengthening access, security, and criminal identification technologies to enabling identity verification for payments, predicting consumer behavior for advertising, and even more ingenious applications in healthcare.