IDScan.net launches cloud-based facial recognition access control solution

IDScan.net has launched a new computer vision and machine learning-powered facial recognition solution to identify individuals within a venue with facial recognition using security camera systems.

The solution is ideally used for real-time watchlist or repeat visitor detection, and works by analyzing people’s faces for demographics and features as they approach an access point, such as a door or reception desk, and then matching them to facial biometric data previously loaded into the system. It can also assess people’s emotions.

Denis Petrov, the CEO of IDScan.net, says the company’s facial recognition solution works in crowded venues like casinos, shopping malls and stadiums.

“This solution is valuable in a wide variety of applications, from security to visitor management to customer service,” says Petrov. “Imagine an automated video camera constantly scanning the faces of people in or around your venue to tell you who they are. This will completely revolutionize operations.”

The solution is offered in a variety of different versions to meet the needs of different clients, including an out-of-the-box version and versions for enterprises. It is hosted on IDScan.net’s secure cloud or on an internally hosted private cloud. It can be tested for free, and scale with customer growth. IDScan.net says it can also be paired with its VeriScan cloud software, which scans IDs, captures data and stores it in an online dashboard.

“Unfortunately, these kinds of technologies have historically been complex, expensive, and ultimately out of reach for most,” notes Petrov. “Our solution can be integrated into our customers’ products simply with a few lines of code.”

Article Topics

access control  |  biometrics  |  facial recognition  |  identity verification  |  IDScan.net