The QD003 AI Vision Module is based on the K210 chip, featuring a neural network processor and multiple interfaces, supporting offline AI computing. The module integrates a camera, display, and buttons for easy observation of AI application effects.

Features:
Supports AI technologies such as image recognition, face recognition, machine learning, QR code recognition, barcode recognition, label recognition, color recognition, number recognition, visual line tracking, and road sign recognition.

Applications:

1. Smart home: Used for door access control, facial recognition, and garbage classification.
   Intelligent transportation: Used for recognizing road signs, license plates, and visual line tracking to achieve autonomous driving.
   
2. Smart factory: Manages inventory through QR code and barcode technology, sorts products using image and color recognition technology, and achieves automated transportation.
3. Technical threshold:
   Beginners can start with graphical programming, those with some foundation can use Python development, or Arduino can be used to drive Python development at the bottom level, but generally graphical programming is used, and code development requires high school or even university level.
   
4. Suitable age range: Suitable for ages 10 to college students, flexible choice of development language.