K230 vision module:Designed for artificial intelligence education and electronic competition

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.

The K230 vision module uses K230 dual-core RISC-V high-performance processor, plus 6TOPS equivalent computing power KPU, the overall performance is about 13.7 times that of K210.

  Why choose K230?

K230 stands out among many vision modules with its excellent performance, rich AI vision cases and excellent image processing frame rate. It supports the installation of various expansion brackets and 2D electric PTZ.

AI Visual Recognition Applications

K230 AI vision capabilities cover more than 40 applications including color recognition, gaze direction detection, face orientation detection, fall detection, gesture recognition, and human posture recognition.

It can also obtain data such as the coordinates, position, size, and size of the identified target object and obtain key data such as the precise coordinates, spatial position, and geometric dimensions of the identified target.

Model training local deployment

Yahboom provides a custom training model tutorial, including online platform model training and local deployment training environment, providing a complete process framework, detailed tutorial guidance and technical support services to ensure that every user can easily train their own model.

Through the model library and open platform for custom model training provided by Canaan Technology, users can customize the AI model required for training, eliminating the model conversion step and directly obtaining the model in kmodel format. In addition, sample code is provided to help users quickly complete model deployment.

Built-in AI large language model integration interface

This product has a built-in highly encapsulated large model interaction library, based on online cloud platforms such as OpenRouter and iFlytek Spark. Users only need to configure the API Key and specify the model type to seamlessly call multiple (Gemini2.0 Flash/Deepseek/LLama4/Claude3.7) mainstream large language models to achieve efficient interaction functions.

Pre-installed GUI program

The default program based on the RTSmart system independently developed by Yahboom is pre-installed at the factory, which contains more than 30+ functions and integrates most of the core functions. You can quickly experience the functional cases without downloading additional codes.

Each function provide detailed description, which greatly improves the user experience.

Provide host computer learning tools

Provide Yahboom self-developed host computer learning tools, which integrate K230 development and learning resources, support RTSP real-time video stream monitoring, and integrate video/image processing tools, data generators, text tools and other modules.

It can even generate a random number of gold coins for testing with object counting cases. It includes the function of generating random virtual items (such as gold coins) to verify the function with cases such as [object counting].

Application cases

The K230 vision module is compact and exquisite, compatible with a variety of mounting brackets, and can be flexibly integrated into various AI vision application systems to achieve functions such as autonomous driving, road sign recognition and turning, license plate recognition and tracking, and face recognition and tracking.

Hardware Features

Summary

K230 supports a variety of AI vision algorithms, including color recognition, road sign recognition, visual line patrol, face recognition, label recognition, QR code and barcode recognition, feature detection, digital recognition and other functions. It has high-precision recognition and real-time response capabilities.With host computer learning tools and rich tutorial resources, it helps developers get started quickly!