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Yahboom K230 vision module is a high-performance, low-power embedded AI vision processing module designed for edge computing scenarios. It is designed based on the end-side AloT chip of the RISC-V architecture, with 6TOPS equivalent computing power and 1GB RAM. It can be connected to a variety of main controllers such as STM32, MSPM0, ESP32, Raspberry Pi, etc. through serial communication. Equipped with a powerful neural network acceleration engine, it supports AI vision tasks such as real-time image recognition, target detection, face recognition, and behavior analysis. It can be widely used in smart homes, maker education, programming robots, electronic design competitions and other occasions.
On board 2MP camera(GC2093), 2.4-inch touch screen, microphone, RGB light, WiFi network card and other hardware resources, support TF card (32G TF card inchude).
Adopting Kendryte K230 chip, 1GB RAN, equivalent computing power can reach 6TOPS.
Provide version host computer software on Windows, support RTSP real-time video stream monitoring, and integrate video/image processing tools, data generator, text tools and other content.
Three different height brackets and 2DOF electric PTZ are available, users can fix the module on some robots or smart cars.
The K230 visual recognition module is equipped with a 1080P/60FPS high-definition camera, is compact and exquisite, and can be easily integrated into various AI visual application scenarios. It is an ideal choice for electronic competitions.
The K230 is programmed and developed using MicroPython language. Users can easily handle multiple visual applications such as color recognition, object counting, QR code recognition, face recognition, character recognition, and self-training without mastering AI model algorithms, greatly lowering the threshold for AI learning.
The module integrates a WiFi chip and supports IoT connections. It can be connected to a cloud platform to access large language models, enabling intelligent dialogue and voice question-answering functions.
Windows-based upper computer software is provided, supporting RTSP real-time video stream monitoring, and integrating video/image processing tools, data generators, text tools, and other contents.
Audio processing support: The K230 integrates a microphone and supports audio recording, enabling keyword wake-up and voice-to-text functions. Combined with large language models, it can conduct language dialogues and provide an intelligent interactive experience.
Expandable speaker: It supports external speakers and, in combination with large language models, can achieve voice dialogue. It can also be linked with AI image processing functions to broadcast visual recognition results in real time.
Supports multiple development platforms: It can be connected to PC computers, MSPMO, STM32, ESP32, PICO, Raspberry Pi, Jetson, RDK, and other mainstream controllers for development.
CanMV development environment: The K230 visual recognition module uses CanMV IDE as the development environment. It is simple and convenient to operate, with the IDE providing function input parameter and related content prompts. The code does not require compilation and can be modified and debugged online. The code can be directly downloaded to the K230 module for operation.