First self-learning edge AI sensor for wearables - video: Page 2 of 2

December 17, 2020 // By Nick Flaherty
The BHI260AP self-learning edge AI sensor
The Bosch BHI260AP self-learning edge AI sensor System in Package (SiP) for wearables includes pre-trained classification libraries and can update its framework without a connection to the cloud or a smartphone

Avoiding the need for cloud access or even a smartphone keeps the data private and means activities can be continuously tracked and analysed. Edge AI also minimizes latency and power consumption, meaning users can get fast, real-time feedback and extended charging intervals on their devices. The 1.8V SIP uses 249 µA for self learning at 25Hz and 386 µA at 50Hz, leading to a trainng time of 30s. The standby current is 8 µA.

The sensor SIP includes the hardware, software and embedded AI to reduce development time and costs and cut time to market. In addition to the self-learning AI software, Bosch Sensortec offers a wide range of software solutions for the BHI260AP. Wearables manufacturers can simply load the required software on to the sensor to enable solutions targeted at specific use cases including orientation tracking, position tracking (PDR) and swimming.

The sensor recognizes four different swimming styles: butterfly, backstroke, breaststroke and freestyle. Since the BHI260AP is a fully programmable sensor, manufacturers can build their own customized software to be embedded in the BHI260AP or upload customized solutions depending on the users’ context. To protect these customized solutions from unauthorized use, the smart programmable sensor offers a digital signature.

An application board with a BHI260AP shuttle board can be wirelessly connected over Bluetooth Low Energy (BLE) to smartphones for development.

The BHI260AP self-learning AI sensor and the corresponding shuttle board are available via Bosch Sensortec’s distributors. The different software packages are available for download at the Bosch Sensortec website.

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