IDScan.net featuring ID authentication and facial recognition tech at NRF 2019

IDScan.net announced it will unveil its latest ID authentication and facial recognition technology at NRF 2019 later this month in New York.

IDScan.net’s enhanced ID authentication technology detects for the presence and placement of ultraviolet and infrared light and compares it to the issuing bodies. In addition to this and a number of other checks, the solution also runs addresses against the U.S. Postal Service database to confirm they are real. IDScan.net has also automated state-specific ID scanning restrictions into its web API to help retailers remain compliant with the varying state laws.

“ID authentication and facial recognition are valuable in a wide variety of retail uses, from fraud prevention to visitor management to customer service,” explains Denis Petrov, IDScan.net CEO. “Imagine an automated video camera constantly scanning the faces of people in your store, identifying customers. This will completely revolutionize retail operations.”

IDScan.net’s facial recognition solution works by finding people through automated video cameras, analyzing faces to ascertain features, and verifying identities against data previously captured. If a customer’s face is scanned when they check out, those purchases can be added to the customer profile so the retailer can learn purchase habits. The technology is free to test and tiered to scale with customer growth.

“The possibilities for retailers are endless,” added Petrov. “Our facial recognition solution can, for example, recognize in-store customers and produce their shopping habits so that clerks can make product recommendations. For retailers with check-in lines, it can also speed up the process through automation.”

The solution can be paired with IDScan.net’s VeriScan cloud software, which scans IDs, captures data and stores it in an online dashboard.

Article Topics

authentication  |  biometrics  |  facial recognition  |  identity document  |  IDScan.net  |  retail biometrics