Commercial and Service-Based Applications
Examples of application areas that take advantage of face recognition include:
People analytics and people flow management
Face recognition technology can detect people’s faces in live video streams or video footage and store anonymous information for each appearance of a person in front of a camera. Analysis of this information over time allows the software to compute people count, demographical information, people movement in time and space, and to detect frequent visitors and crowds.
For example, operators can receive an alarm if too many people gather in a specific area and measure waiting times to direct traffic. The analysis of traffic patterns and demographical statistics can provide businesses with precise visitor data to make interior design, advertising placement, staffing and other operational decisions.
Intelligent signage and customer engagement
Since the technology can analyze a face for gender, age and ethnicity as people approach a camera, it can trigger the display of a targeted message on a digital sign or other advertising/message devices.
Photo indexing and sorting
Face recognition software can search collections of photographs and movies on PCs or websites, identify people, and index/sort the images or videos automatically by person.
Professional photographers take a large number of photos at cruise ship events, leisure parks, award ceremonies, etc. Face recognition software helps sort these photos by person so that only the relevant photos will be offered to the potential buyer.
An example of a 'positive watch list' application, the software is used to automatically identify registered customers in stores, casinos, clubs or bank branches, allowing them access or notifying staff to provide special treatment.
Login authentication/logical access
Face recognition can support the secure authentication of a person during PC, phone, banking login or payment procedures, either replacing traditional passwords or adding another layer of security to login/authentication processes.
Automobile manufacturers are working on integrating face recognition technologies into cars. Analyzing the faces of drivers and fellow passengers can increase both convenience and safety by identifying the driver; detecting the head position, gaze direction, and closed eyes; setting the seat position and temperature, etc.
Service assistance systems/humanoid robots
International research and development projects are working to provide people with intelligent service assistance systems that incorporate multi-modal sensors to evaluate their audience, react to stimulation and then adjust their behavior. Face recognition can lend robots a multitude of capabilities: detecting faces, estimating a person's gender and age, and following faces in space. Improving the dialog between humans and machines should increase the usability of technologies and humanize our interaction with them.