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This SOM uses half the power for the same computer vision tasks as other leading microprocessors on the Market
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Product Details



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Product Description

MistyWest is an engineering product development consultancy whose mission is to accelerate the world's transition to a sustainable future through the design of intelligent connected devices. We've worked on many low power device applications, from polar bear tracking devices to sensors that enable subsurface discovery for ethical mining.

Low power electronics and firmware are challenging to develop, and often, SOMs do not enable low power applications. The MistySOM is built from the ground up to enable battery powered computer vision applications.

Harnessing the power of the Renesas RZ/V2L microprocessor with a dedicated Neural Processing Unit, MistySOM is capable of performing AI computer vision tasks at 50% lesser power than the other processors in the market. MistySOM delivers high-speed AI inference at low power consumption, accelerated by the onboard NPU that supports standard ONNX ML models. Images can be captured through the MIPI-CSI interface and h.264 encoded.

For more information please see the Product Brief or read about MistySOM on the MistyWest blog.

Feature Overview of MistySOM

  • Low power requirements
  • Yocto Linux Operating system
  • AI accelerator
  • Cortex-A55 (Dual or Single)
  • Cortex-M33
  • 3D graphics engine (Arm Mali-G31)
  • Video codec (H.264)
  • Camera interface (MIPI-CSI)
  • Display interface (MIPI-DSI)
  • Two USB2.0 interfaces
  • Two CAN interfaces
  • Gigabit Ethernet 2ch
  • 2GB DDR4 RAM
  • Supports various versions of WiFi and Bluetooth interfaces on the I/O board
  • The board is compatible with the Renesas RZ/G2L processor for less demanding applications

The following data lines are available:

  • Parallel 24-bit LCD bus or GPIO - For LCD, GPIO, SSI, CANBus, UART, SPI, I2C, Timer, IRQ
  • RGMII0 - GPIO, RGMII, 16-bit parallel camera bus, SSI, UART, Timer
  • RGMII1 - GPIO, RGMII, 16-bit parallel camera bus, SSI, UART, Timer
  • GPIO - GPIO, SSI, SPI, UART, CANBus, I2C, Timer, IRQ

Potential Applications for MistySOM

The SOM will be ideal for applications which require object detection and image classification in a small battery powered system. Thanks to its low power requirements and the built-in AI capabilities, the computing platform can solve challenging power problems that are commonplace in today’s IoT environments.

Some example applications include:

  • Inventory tracking
  • Animal tracking
  • Building management (occupancy monitoring)
  • Retail (self-checkout)
  • Sports analytics
  • Smart traffic and transportation
  • Dash/body cams
  • Mobile robots
  • Display and controller for electric motorcycles

Block Diagrams

block diagram

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MH11 Carrier Block Diagram

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Purchase Information

Unit Deliverable

One SOM. There will be a carrier board available for purchase as an accessory.

Lead Time

60 Days

Options and Add-Ons

Carrier board

MistySOM Carrier Board

The MistySOM carrier board product brief specifies how it enables the efficient use of MistySOM as a development platform. It features components rated at industrial temperature ranges to satisfy challenging end-use requirements.

MistySOM Carrier Board Product Brief


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