Where you would expect it, but the results are still less than perfect. And where it is mostly likely to be spoofed for direct fraud.
Facial Recognition Making Its Way in Banking By AI Trends Staff
Facial recognition technology is making its way into the banking industry, used primarily for physical security and ID recognition.
A handful or startups have emerged to serve the niche, the largest being Yitu Technology, a company with some 200 employees based in Shanghai, according to a report in emerj. Started in 2012 by a founder with a PhD in statistics from the University of California, the company employs a number of machine learning researchers. The company makes the Yitu Dragonfly Eye Intelligent Security System.
Another is Cloudwalk Technology of China, which had raised $507 million as of September 2018. They have contracts with the Bank of China and Bank of Chongqing. The president has a PhD in electrical engineering from the University of Illinois- Urbana Champaign. In facial recognition, the company appears to be in startup mode with few data scientists and machine learning researchers employed.
Other startups include IntelliVision, which offers Face Recognizer, which can recognize a customer’s face as shown on a stored image, when the customer is trying to access their bank account from an ATM with a camera, for example. If the customer’s photo is not stored in the bank’s database, the ATM can record the persons face and associate it with the account being accessed. IntelliVision has raised $6 million.
FaceFirst is offering software of the same name for access control using machine vision. The system is able to authorize identities, deliver mobile notifications to the security team, and recognition priority customers so that they receive the appropriate preferences. The companies say clients can integrate the software with existing image databases and with video footage. FaceFirst has raised $9.5 million in investment capital. ... "
Thursday, August 22, 2019
Ultimate ID: Facial Recognition?
Labels:
AI,
Banking,
Facial Recognition,
Fraud,
Identification,
Security
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