【micro:bit Programming, AI Vision Robotic Hand】AiHand is an open-source robotic hand powered by micro:bit. AiHand features a high-performance WonderCam AI vision module with an integrated HD camera. This module enables various AI applications, including color recognition, tag recognition, and more.
【Powerful hardware, Support Secondary Development】AiHand is equipped with an AI vision module and a glowy ultrasonic sensor. AiHand has multiple expansion interfaces reserved to facilitate users to carry out secondary development of the robotic hand.
【One-click Training and Learning】AiHand's AI vision module is integrated with some learning algorithms, allowing it to complete diverse AI vision projects such as waste sorting and tag recognition.
【Various Control Methods&Makecode Programming】AiHand supports Android/ iOS APP control, micro:bit control.AiHand also supports Makecode programming.Drag and drop building block-style modules for programming,which is easy to learn.
【Arduino Programming, Open Source】uHand UNO is built on the Atmega328 platform and is compatible with Arduino programming. The programs for uHand UNO are open-source, and learning tutorials and secondary development examples are available, making it easier for you to develop your robotic hand.
【High Performance, Support Sensor Expansion】 uHand UNO is equipped with a 6-channel knob controller, Bluetooth module, 6 anti-blocking servos, and other high-performance hardware. Moreover, it provides multiple expansion ports for sensor integration, including ESP32 Cam, accelerometer, touch sensor, glowy ultrasonic sensor, etc., empowering users to engage in secondary development for sonic ranging and pose control capabilities.
【Versatile Control Options】uHand UNO supports both app control and wireless glove control. Users can utilize knob potentiometers for real-time knob control and offline action editing.
【Driven by Raspberry Pi 5】uHandPi harnesses the power of Raspberry Pi 5, combined with the OpenCV vision library, to deliver an AI-driven robotic hand that seamlessly integrates vision capabilities for enhanced precision and performance.
【Innovative Self-Developed Linkage Structure】Designed with Hiwonder's proprietary linkage structure, uHandPi mirrors the natural movements of the human hand, allowing it to execute delicate tasks with remarkable accuracy, making it perfect for a wide variety of operations.
【Cutting-Edge AI Vision Features】Boasting a suite of advanced features, including color recognition, face detection, gesture recognition, and object tracking, uHandPi elevates the user experience with intuitive and responsive human-machine interaction.
【Machine Learning & Interactive Fun】Powered by MediaPipe, uHandPi can be trained to recognize and deploy multiple human-machine interaction models, enabling innovative AI-driven interactions like interactive games, including Rock-Paper-Scissors.
【Open Source Somatosensory Gloves, Compatible with Arduino】Hiwonder somatosensory gloves are open source bionic robot control gloves, compatible with the Arduino development environment, and support secondary development, allowing you to realize creative robot projects.
【Built-in Acceleration Sensor and High-precision Potentiometer】The somatosensory gloves have 5 built-in encoders and 1 acceleration sensor. They transmit data through the built-in Bluetooth module and control your robot as you like.
