Artificial Intelligence Vision Trainer (SMT-603)

This trainer is designed as an introductory platform for learning artificial intelligence and machine vision principles, enabling students to program and experiment with real-time object recognition, color tracking, and face detection. It serves as a practical tool for understanding how AI-driven vision systems interact with robotics for automated tasks like sorting and inspection. The system centers around a high-quality OpenMV camera module with a 640x480 resolution, powered by an ARM Cortex-M7 processor for running Python-based vision algorithms. It includes an integrated 1.8-inch TFT display for live previews and comes with a vision stand, calibration board, and a set of wooden blocks for creating detection tasks. A key feature is its full compatibility with the ESOLS 6-Axis Robotic Trainer, allowing the vision system to direct the robot actions based on what it sees. Its primary applications are in robotics, computer science, and AI education for teaching image processing and automation. The key benefit is its integrated, hands-on approach to AI vision, allowing students to write and test code for real-world applications, thereby building a foundational understanding of how intelligent systems perceive and interact with their environment.