BRAINBOARD-1500
What's in the box
- 1x BrainBoard1500 board
Designed for
Standalone AKD1500 Evaluation
Bring your own MCU/SoC and test Akida inference over SPI/QSPI
Power-Constrained Edge AI
On-board power monitor for battery-life and efficiency profiling
Sensor Model Prototyping
Vision, audio, and IMU model evaluation on compact hardware
On-Device Learning
Adapt models in the field without cloud connectivity
Quick Start
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1. Power down and mount the boardPower down the supported Arduino Nicla host, then attach BrainBoard1500 using the Nicla-compatible connector layout.
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2. Choose the matching Nicla exampleDownload the open-source BB15 Arduino library and select the example for Arduino Nicla Vision or Arduino Nicla Sense ME.
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3. Flash and verify the modelUpload the matching bb15_model_flasher_* example and confirm that flash, verification and model loading complete successfully.
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4. Run your first inferenceUpload the corresponding inference example. Nicla Vision users can also run the supplied live-camera human-detection workflow.
Co-processor
Akida AKD1500 neuromorphic processor
Host interface
SPI / QSPI (attaches to any MCU or SoC)
On-board model storage
Flash memory for Akida-compatible model deployment
Power profiling
Integrated two-channel power monitor for real-time inference measurement
On-chip learning
Yes (adaptive, no cloud required)
Form factor
Arduino Nicla-compatible footprint 22.86 x 22.86 mm
Direct compatibility
Arduino Nicla Vision and Arduino Nicla Sense ME developer workflows
Developer path
Open-source BB15 Arduino library, example sketches and model-flashing workflow
Broader integration
SPI/QSPI interface for custom MCU, SoC and FPGA hosts
Compatible boards, cables, and reference platforms.
