PUSOKEI AI Vision Module with 2MP Camera, Machine Learning Development Board, AI Camera Sensor with LCD Touch Screen, UART Serial Control for DIY Robotics Open Source

Spec: Item Type: Vision Camera Module Material: Acrylic Screen: 2.0 inch touch screen (320x240) Camera: 2MP camera Processor: Support for K210 Development Environment: IDE Programming Language: MicroPython Interface: USB, UART serial port Built in Function: MicroPython firmware RGB Light: Built in one RGB light Small Memory Card Slot: Supports small memory card (not included) Buttons: Reset key + customizable function key Operating Current: 200mA How to Use: Take out the product reference manual for use. packing list: 1 x Vision Recognition Module 1 x Micro USB Cable 1 x PH2.0 4pin To Wire (Female To Female) 20cm 1 x PH2.0 4pin Cable Double Ended 20cm 3 x Screw 1 x Instruction Manual 1 x Plastic Box Note:

• Powerful AI Processing: The visual recognition module features a dual core 64 bit processor delivering 1TOPS computational power, paired with a 2MP OV2640 camera and 2 inch LCD touchscreen. It enables real time image processing for face detection, barcode scanning, object tracking, and color recognition with ultra low energy consumption.
• Beginner Friendly Development: This open source robot maker utilizes MicroPython programming in IDE, allowing users to train custom model with just 5 sample images. Support for 's tutorials simplify AI vision projects without requiring complex algorithm deployment.
• Multi Controller Integration: The vision camera module support for UART communication, support for Rasp Pi Pico, support for STM32, support for BBC V2, support for MSPM0 and other controllers. Its serial output delivers visual recognition results instantly, enabling plug and play AI enhancements for robotics or automation projects.
• Open Source Flexibility: As an open source electronic sensor kit, all firmware and code are publicly accessible. Developers can modify prebuilt functions for face/object recognition or create custom applications using provided SDKs and documentation.
• Versatile Applications: This Al Technology DIY kit is ideal for robotics competitions, STEM education, or industrial prototyping. Its compact design with USB/small memory card slots facilitates smart home devices, automated inspection systems, and maker projects.