We are thrilled to announce that RT-Thread in collaboration with Renesas Electronics, is unveiling its latest hardware innovation — Vision Board. Boasting the world’s inaugural 480 MHz Arm Cortex-M85 chip, Vision Board is fortified with cutting-edge Helium and TrustZone technologies. The bundled SDK seamlessly integrates OpenMV machine vision routines and MicroPython interpreter, facilitating the effortless development of machine vision applications. Moreover, with extensive peripheral support and continuous enhancements from the community-driven SDK repository, Vision Board promises endless exploration opportunities.
Why Opt for Vision Board in Machine Vision?
1. Robust RA8 Chip Performance:
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Core: A formidable 480 MHz Arm Cortex-M85, incorporating Helium and TrustZone technologies.
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Storage: Integrated with 2MB/1MB flash memory and 1MB SRAM (inclusive of TCM, with 512KB ECC protection).
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Peripherals: Compatibility with xSPI Quad-SPI (featuring XIP and real-time decryption/DOTF), CAN-FD, Ethernet, USBFS/HS, 16-bit camera interface, and I3C, among others.
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Advanced Security: Exceptional encryption algorithms, TrustZone, immutable storage, tamper-proofing with DPA/SPA attack protection, secure debugging, secure factory programming, and lifecycle management support. Delivering a performance of 6.39 CoreMark/MHz, it caters to demanding IoT applications necessitating high computing performance and DSP or ML capabilities.
2. OpenMV Machine Vision Engine Feature:
In today’s rapidly evolving technological landscape, the integration of machine vision into embedded systems has become increasingly prevalent. OpenMV stands at the forefront of this revolution, offering a versatile platform that empowers developers to explore the boundless possibilities of embedded machine vision.
At its core, OpenMV is an open-source initiative driven by a passion for innovation and accessibility. OpenMV is built upon the powerful foundation of MicroPython, a lightweight implementation of the Python programming language optimized for microcontrollers. This unique combination allows developers to leverage the simplicity and flexibility of Python to tackle complex machine vision tasks directly on embedded devices.
Demo Preview
3. Comprehensive Peripheral Support:
Vision Board extends support for peripherals, including:
4. Rich SDK Repository:
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The SDK repository encompasses the development board’s schematic diagram, chip datasheets, open-source reference designs, tools, and other materials, expediting developers’ immersion into Vision Board development.
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SDK Open Source Repository Address: https://github.com/RT-Thread-Studio/sdk-bsp-ra8d1-vision-board
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Vision Board ships pre-burned with the RT-Thread 5.0.2 release version, with the Finsh component enabled by default (virtual serial port docking with DAP-Link). It comes bundled with an array of demo routines:
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Tri-color LED template routine OpenMV 4.5.0 machine vision LVGL9.0 graphic engine RGB & MIPI screen basic engineering Doom (Doom game) And more…
We extend our heartfelt appreciation to all of you for the unwavering support of RT-Thread, and we extend our gratitude to Renesas Electronics for their collaboration. The integration of machine vision into embedded systems heralds more efficient and intelligent solutions across diverse industries. As this technology continues to evolve and integrate, it will undoubtedly fuel the future development and innovation of embedded systems. We eagerly anticipate embarking on this journey into a new era of embedded technology together with Vision Board.
Please be aware that the Vision Board is available only in black color. However, it comes in two versions: Standard (Cam) and Supreme (Cam+LCD).
Here's the tutorial to help you get started: https://github.com/RT-Thread/rt-thread/tree/master/bsp/renesas/ra8d1-vision-board
We've established a documentation center for the RA8 Vision Board. Access the documents through this link: https://drive.google.com/drive/folders/1I6-0uHwWsQqgL0UdD0ENvHlZCZhQHTEg?usp=sharing