|Two companies Robbie.AI and Sure ID made a joint venture to give a biometrics solution in America / Photo by: Tanoy1412 via Shutterstock|
Improving one's security is one of the core factors of any organization and environment. Recently, Robbie.AI, a company that is known for using artificial intelligence (AI) technology for facial recognition, will be partnering up with SureID, a company known for their world-class biometrics and fingerprint services. These two companies will combine their research and technology to create the very first nationwide biometrics in the United States, for a safer and more secure environment.
Robbie.AI's software is able to recognize non-basic feelings and the six basic emotions. The former are comprised of emotions such as boredom, satisfaction, and engagement. SureID offers a network of more than 800 fingerprinting locations nationwide. The first part of this new initiative is to expand SureID’s network of fingerprinting kiosks, to deliver more of their products to people all over the country. They can use this technology to simplify fingerprint technician login and authentication upon initial login to provide another layer to network security. Ned Hayes, the general manager of SureID, states, “Our combined biometrics database can provide a frame of reference for the development of future security solutions in the market.” The combined effort of these two companies can add layers of security for different organizations and even government bodies all throughout the US. This could start a new standard with regard to workplace ethics and even the safety of a person’s personal home. Both SureID and Robbie.AI aim to provide industry-transforming biometrics and to create a faster and better experience for all of their users.
Another benefit to this partnership is the advancement of their respective technologies, to more effectively train facial recognition and to hone fingerprint scanning and biometrics. As Karen Marquez, the chief executive officer of Robbie.AI, states, “It is crucial that facial recognition technology be trained in the ‘wild’ or public domain so that the algorithms are exposed to a variety of situations that are unpredictable.”