Cachengo’s New Data Processing Platform Supports On-premises Facial Recognition

Cachengo has unveiled a new Edge Processing solution that is designed to make computer vision applications more efficient. To that end, the company’s solution allows customers to store and process data locally, without sending it away to a separate data center.

In doing so, Cachengo’s offering dramatically reduces the amount of computational power needed to analyze raw data. The company estimates that local processing can reduce an organization’s network transportation load by as much as 85 percent, while the core processing burden can be lowered as much as 75 percent. That, in turn, would make it easier for companies to exploit on-premises computer vision applications, including facial recognition.

The Cachengo Portal can be integrated into a client’s existing data infrastructure through a simple one-step process. After that, new devices can be added to the network via Peer Groups that can create secure connections without the use of port forwarding or VPNs. The platform was built to be scalable, and can be managed through the cloud. It also gives customers access to a full portfolio of support applications through the Cachengo Market.

“Just as the cloud has forever changed how business looks at data centers, analytics at the edge where the data is being generated will unlock possibilities not previously contemplated,” said ISO CIO Tim Coyle. “Managing data where it resides creates the ability to provide new levels of service and insight that will drive the industry forward.”

“The edge is where innovation is happening due to the rapid growth of data and network bandwidth, and this is where the processing needs to happen,” added Cachengo CEO Ash Young. “Cachengo brings the power to the edge through our turnkey solutions.”

Of course, Cachengo is not the first company to highlight the advantages of local biometric processing. For example, NXP has released solutions that can enable on-device face and voice recognition in a range of biometric devices.

–

March 18, 2021 – by Eric Weiss