AI Machine Learning Starter Kit - AI Education
AI Machine Learning Starter Kit is an edge computing robot kit driven by K210 AI chip for AI education. Designed by Weeemake team, this kit support both graphical programming and Python programming. AI Machine Learning Starter Kit is a powerful and affordable platform that provides an excellent opportunity for students, educators, and hobbyists to explore the world of AI and machine learning. The kit is versatile, easy to use, and specifically designed for educational purposes, making it an excellent choice for anyone looking to learn about AI and machine learning.
Low-Cost: The K210 AI chip is an affordable platform for developing and deploying machine learning applications on the edge. This makes the kit an excellent choice for students, educators, and hobbyists who want to experiment with AI and machine learning without breaking the bank.
Edge Computing: The K210 AI chip is designed for edge computing, which means that it can run machine learning algorithms locally, without requiring an internet connection. This makes the kit an excellent choice for developing machine learning applications that can operate in environments where internet connectivity may be limited or unreliable.
Educational: The kit is specifically designed for AI education, providing students and educators with a hands-on experience of developing and deploying machine learning applications. This practical experience is invaluable for understanding the concepts and challenges of AI and machine learning.
Students and educators can build and experiment with a wide range of AI applications, such as image recognition, speech recognition, and sensor-based machine learning models. The K210 AI chip is a powerful platform that can run complex machine learning algorithms on the edge, making it ideal for learning about the latest developments in AI and machine learning.
Mainboard: ELF AIOT K210
Operating Voltage: 6-12V (18650 Lithium battery pack included)
Onboard components: 2.4-inch TFT screen, rotatable camera(2MP), TF card slot, speaker, microphone, reset button, Boot button, power switch, 3.3V/5V switch.
Ports: 4xRJ 11 port, 20 groups of IO pins + 2 groups of I2C pins, 4x DC motor port, DC power input interface
Motor & Wheel: 4x TT motor/4x Mecanum wheel
Communication: USB Type C, WiFi, Bluetooth
Program Software: WeeeCode(Scratch 3.0), Python