BLUETERA II – FULL-STACK DEV BOARD THAT USES PROTOCOL BUFFERS FOR MOTION-BASED IOT APPLICATIONS

Many of our clients face a common challenge when undertaking IoT projects. They are experts in their own fields, and most of of them have a great idea, a proof-of-concept (PoC), or a sophisticated algorithm that addresses some specific need. They have simulated their solution in Matlab or Python and are eager to build and test a minimum viable product (MVP).

Unfortunately, designing a physical IoT device – or even prototyping one – is no easy task. Our experience has demonstrated that designers have a genuine need for a common, extensible, user-friendly, open source IoT platform that facilitates seamless interaction between the physical and the digital. Which is where we come in.

Our primary focus is on products and projects that sample motion, sense the physical world, and transmit the resulting data over Bluetooth Low-Energy (BLE) to smart devices running Android, iOS, Windows, and Linux. We created Bluetera I by stitching together key functionality, including communication hardware and basic motion sensing algorithms, as a way to provide the missing IoT platform our clients needed.

Bluetera II is the full realization of this same objective. It is open hardware running open firmware that includes motion sensors, power management, communication, and user-facing software – all woven together into a robust infrastructure for rapid IoT prototyping.

Bluetera II Demos

The demos in the video above were created primarily using the Windows-WPF application shown below. (You can find source code for this and other demos in our GitHub repository.)

Features

  • Hardware – A tiny (18 x 18 mm) device with 9-axis motion sensors, an ARM MCU with BLE, battery charging circuitry, and multi-purpose IOs for externals sensors and peripherals
  • Firmware – Open source infrastructure with embedded command and control, motion algorithms with built-in data exchange and IMU control, a BLE stack with an additional Protobuf abstraction layer, power management, and battery monitoring
  • Open Source – Everything, from hardware to firmware to the software running on your mobile device or PC is strictly open-source. No strings attached
  • Motion – 9-axis motion fusion based on the Madgwick Algorithm, which produces rotation data (quaternions) from the 6-axis InvenSense IMU and STM compass. The result is a stable, 1 kHz stream of rotation measurements and raw data.
  • Google Protobuf – A communication abstraction layer that provides a simple yet flexible serial pipe between the physical layer (e.g. sensors) and the digital layer (e.g. your mobile device). Protobuf makes adding new messages and functionality as easy as 1-2-3.

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