Python API simplifies AI/ML at the edge

With the API, building and programming embedded systems and smart/edge devices for AI/ML is faster and easier, even for beginners.

Variscite Python API eases the development process of embedded systems using cameras, sensors, displays, and user interfaces.

It also provides an easy way to run and communicate with Cortex-M applications from the Cortex-A side, for fast processing at low power. The API’s developer centre provides ‘how to’ guides, documentation and quick source code examples.

“Capture, recognition, and processing of image, audio, and video data are increasingly used in embedded edge devices for any kind of environment, from transportation to healthcare, robotics, and agriculture, said Ofer Austerlitz, VP Business Development and Sales of Variscite. “Our customers require additional AI/ML capabilities at the edge to run complex and advanced applications, and the Variscite python API enables faster and easier deployment with our i.MX8 SoMs.”

Variscite offers a wide range of performance, power consumption, cost, and feature sets in its i.MX 8-based System on Modules.

The company’s portfolio includes two highly scalable modules with dedicated AI/ML capabilities and an integrated Neural Processing Unit (NPU). The DART-MX8M-PLUS and VAR-SOM-MX8M-PLUS run on a 1.8GHz Quad Cortex-A53 NXP iMX8M Plus processor with 800MHz Cortex-M7 real-time co-processor.

Both SoMs are members of Variscite’s Pin2Pin families that offer seamless scalability, extended lifetime, as well as reduced development time, cost, and risk.