Biometric face recognition technology has received significant attention in the past several years due to its potential for a wide variety of applications across sectors. Compared with fingerprint/palmprint and iris, face recognition has distinct advantages because of its non-contact process. Face images can be captured from a distance without touching the person being identified, and the identification does not require interacting with the person. In addition, face recognition serves the crime deterrent purpose because face images that have been recorded and archived can later help identify a person. Cognitro has successfully developed a face recognition algorithm, FastMatch.Ai for authenticating faces at record speeds. The model has been deployed on large scale at several governments facilities and private organizations.
Names are important elements in government transaction, banking compliance, identity protection and verification. However, with so many similarities across different names and languages, spellings, aliases or nicknames, order of first, initial and last names, many situations can arise such as record duplicates, identity fraud which may pose significant risk levels. Cognitro has worked with a number of organizations to alleviate those types of risks by leveraging the latest in AI and deep learning to match any given name against a database of other names.
Example: 1) Moammar Khadafy ⇔ 2) Muammar Gaddafi