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Lanner launches Intel-powered solution for edge facial biometrics and vision analytics


Network appliance and intelligent video recorder developer Lanner Electronics has launched an edge vision analytics solution at ISC West, leveraging Intel’s OpenVINO toolkit and Myriad X Vision Processing Units (VPUs) for modular, low-power, and cost-effective edge processing, according to a company announcement.

Lanner has a longstanding partnership with Intel, and says OpenVINO accelerates the development and enables quick integrations of pretrained models in frameworks such as TensorFlow and Caffe for facial recognition, object recognition, and classification. The company also says its modular approach gives engineers a clear method of optimizing their neural processing workloads with Intel VPUs integrated through standard mini-PCIe expansion slots. For rugged, embedded, and mobile applications, this hardware-software integration may be preferable to protruding dongles.

“Intel’s Myriad X VPU and OpenVINO software development toolkit for accelerated vision AI simplify the creation of low-power, real-time video analysis. Lanner’s expertise in creating effective purpose-built hardware platforms is leveraged here to provide a full-package hardware solution that tackles the specific requirements of vision-based edge systems,” says Attilio Belenchia, director of business development for Lanner Electronics division LEI Technology. “Creating reliable edge solutions for existing vision-based systems/cameras has never been easier— Intersections, traffic-stops, checkpoints, parking lots, entrances and remote stations can all harness edge vision processing for automation, optimization and assisted remote management.”

Among companies working to bring computer vision processing capable of supporting biometric facial recognition, always AI raised $4 million in funding and Ambarella launched a new camera system-on-chip in January.

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