Developed a number of Facial and Fingerprint Biometrics Applications

Developed a collection of systems for CryptoMetrics (Biodentity) that incorporated facial and fingerprint recognition technology into a variety of commercial and public applications. The work involved a wide range of technology from the development of low-level camera interfaces to extract facial images; manipulating the images to improve the generation of facial biometric templates; and matching the facial images against other facial images using commercial matching engines.

  • Area Perimeter System for the US Special Forces (USSOCOM) that integrated cameras at door entry points and hallways. The system extracted facial images from the live video streams and matched against a database to keep track of who was on-site and who had left the premises. The system also had the capability to match against a watch-list and generate alerts;
  • Camera control interface that automated the pan,  tilt, and zoom operation of a digital camera for the capture of high-quality cropped facial images for a Drivers License Bureau application;
  • Demonstration in Powerbuilder 8, of CryptoMetric’s face capture and image processing capabilities for the Canadian Passport Office;
  • Trusted Watch application for the Dubai Police Force, which streamed facial images from many cameras back to a central location for matching against a terrorist watch list. The system also demonstrated several aspects of a centralized control over a large number of surveillance cameras such as a dynamic area map (MS MapPoint) showing the location and status of each camera.
  • E-Served Hotel application that demonstrated facial recognition being used to recognize valued customers and retrieve customer preferences for a self-service kiosk at hotels;
  • MemoriesNow application that is being used on cruise ships and at amusement parks to locate all the photographs that were taken of a particular customer. In the kiosk mode, the customer’s image is taken from a video camera and matched against a database of pictures to produce a personalized photo album which can then be purchased.
  • PhotoFind School application that used facial recognition to identify students in school group photos. The application extracted each face in the group photo and matched them against a database of student Photo IDs thereby automatically providing the names of each student in the group photo;
  • Access Control system that used video cameras to extract a facial image at door entry points to verify the identity of a person attempting to gain access. The system would either do a one to many search to determine the persons identity or do a one-to-one verification from a card swipe or RFID card read;
  • Airline Gate Camera application that encoded the individuals facial biometric template when the boarding pass was issued and then verify the person at the boarding gate to ensure the boarding pass could only be used by the person it was issued to;
  • Airline verification kiosk application that verifies that the individual is the passport holder by comparing a live video image with the photo image on the person’s passport, using a passport reader.