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Technical Specification
RASynBoard is a tiny (25mm x 30mm), ultra-low power, edge AI/ML board, based on a Syntiant NDP120 Neural Decision Processor, a Renesas RA6M4 host MCU plus a powerefficient DA16600 Wi-Fi/BT combo module. The NDP120 subsystem with on-board digital microphone, IMU motion sensor and SPI Flash memory, achieves highly efficient processing of acoustic- and motion events. Battery and USB-C device connectors facilitate standalone use, while a compact under-board connector enables integration with custom OEM boards and additional sensors. Product Brief (Datasheet)
An IO board (50mm x 30mm) is included for implementation of a compact two-board evaluation kit assembly. This pins-out a subset of the NDP120 and RA6M4 I/Os to popular Pmod, Click header and expansion header footprints, enabling connection with additional external microphones and sensor options. An onboard debugger MCU (SWD and UART interfaces), button switches, RGB LED and removable MicroSD storage, further maximize prototyping versatility and utility.
NDP120 AI/ML models for popular use-cases (pre-engineered by Syntiant and other vendors) are loaded from local SPI Flash storage for efficient execution on the ultra-low power NDP120 neural accelerator device.
RA6M4 MCU application software development and debug is supported via the Renesas e2 Studio IDE, interfaced via the E2OB debugger MCU on the IO board.
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Features
- Accelerated Edge-AI and ML applications
- Battery-powered remote sensor systems
- Industrial smart sensors
- Motor predictive maintenance
- Always-on speech recognition and sensor fusion processing
Kit Includes
- RASynBoard
- RASynBoard I/O Board
