Spresense 6-core microcontroller board with ultra-low power consumption

High-performance microcontroller board with hi-res audio, camera input, internal GPS and Edge AI support.

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Sony’s multicore microcontroller technology with global LTE connectivity

Spresense product photo with 3 boards of which one HDR camera board, one main board and one LTE extension board

► Spresense full specification

Ideal for professional use cases on the edge

The unique combination of solid computing performance and advanced power efficiency makes Spresense ideal for edge computing. Spresense is featured in applications where there is a need for sensor analysis, machine learning, image processing and data filtering in which other microcontroller-based alternatives fall short.

Agriculture Tech
Industrial IoT
Smart cities
Remote monitoring
Additional application areas for Spresense
  • Logistics and transport
  • Automatic quality inspection
  • Predictive maintenance
  • Wildlife monitoring
  • Cell tower remote inspection
  • Industrial connectivity
  • Gesture recognition
  • AI camera applications
  • Sound diagnostics
  • Home automation
  • Edge computing
  • FFT calculations
  • Robotics and drone control
  • GPS tracking
  • Remote monitoring
  • Image processing
  • Real-time sensor analysis
  • Hi-res audio solutions

Develop with Spresense

Spresense is open source and comes with full documentation, tutorials and sample projects.

  • C/C++ based Spresense SDK
  • NuttX real-time OS (POSIX compliant)
  • Multicore application support
  • Optional add-on boards (BLE, Wi-Fi, sensors etc)
  • Arduino IDE support for quick prototyping
  • Support for TensorFlow, NNC and Edge Impulse for professional machine learning development
Get started
Diagram of the Spresense SDK Structure

Hardware extension options

Product image of an iS110B Wi-Fi add-on board
Spresense HDR camera board

With a sensitivity of 120dB, the Spresense HDR camera board obtains clear images even in low-light conditions and situations with strong light contrasts.

Machine Learning development on Spresense

TensorFlow logo

TensorFlow from Google is one of the leading frameworks for machine learning on Spresense.

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Edge Impulse logo

Get started with AI on Spresense in 10 minutes using the powerful machine learning tool by Edge Impulse.

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Neural Network Libraries logo

Neural Network Libraries by Sony is a deep learning framework intended for research, development and production.

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External software solutions for Spresense

Spresense macro image with focus on Sony's CXD5602 microcontroller

Powered by Sony's microcontroller technology

At the heart of the Spresense board, the Sony's CXD5602 microcontroller runs 6 ARM Cortex-M4F cores with a clock speed of up to 156MHz and has an integrated GPS. Thanks to the FD-SOI (Fully Depleted Silicon On Insulator) production process, the CXD5602 chip is very power efficient which enables battery dependent use cases.

Contact us if you have any questions or need specific information to get started with Spresense development.

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