Yahboom K230 Vision Module With 2.4-Inch HD Touch Screen 32G TF Card With Angle Adjustable Bracket

1. 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.
2. 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).
3. Adopting Kendryte K230 chip, 1GB RAN, equivalent computing power can reach 6TOPS.
4. Pre-installed GUI program, integrated with 30+ functions (human posture recognition, object recognition, image detection, road sign recognition, label code recognition light), users can quickly experience.
5. 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.
6. Three different height brackets and 2DOF electric PTZ are available, users can fix the module on some robots or smart cars.

Parameter:
1. CPU:
--CPU 0: RISC-V processor, 0.8GHz, 32KB I-cache, 32KB D-cache, 128KB L2 Cache
--CPU 1: RISC-V processor, 1.6GHz, 32KB I-cache, 32KB D-cache, 256KB L2 Cache, 128bit RVV 1.0 extension
2. KPU:
--6TOPS equivalent computing power, support INT8 and INT16
--Typical network performance: Resnet 50 equals 85fps at INT8; Mobilenet_v2 equals 670fps at INT8; YoloV5S equals 38fps at INT8
3. DPU: 3D structured light depth engine, maximum resolution supports 1920 x 1080
4. VPU:
--Encoder performance: 3840 x 2160 at 20fps
--Decoder performance: 3840 x 2160 at 40fps
--JPEG codec: supports up to 8K (8192 x 8192) resolution
5. Running memory: 1GB LPDDR4
6. Development environment: CanMV IDE microPython programming
7. Image input: Onboard 2 million HD camera (GC2093)
8. Display: 2.4-inch LCD capacitive touch screen, resolution 640 x 480
9. Onboard functions: microphone, buzzer, RGB light, WiFi network card
10. Onboard interface: speaker interface, fan interface, Type-C interface, serial communication interface, GPIO expansion interface, TF card slot
11. Power supply mode: Type-C/communication interface 5V input/GPIO 5V input
12. Working current: 0.8A
13. Working power: 4W
14. Buttons: Reset button + custom function button
15. Dimensions: 72 x 46 x 18.7mm