Dynamic Pattern Projection via Visual Recognition

The patent applies universality by enabling a single light source to perform multiple functions - projecting different light patterns (circles, rectangles, triangles, etc.) without requiring multiple light shields. The system achieves this through coordinate transformation algorithms that map feature points from captured images to projection coordinates, allowing one light source to replace what would traditionally require multiple specialized light shields for different patterns.

The patent replaces the mechanical system of physical light shields with a computational approach. Instead of using physical masks to shape light, the system uses image capture, feature point detection, and coordinate transformation to dynamically control the light projection pattern. This substitution of mechanical components with information processing eliminates the need for multiple physical light shields while achieving the same pattern diversity.

The system applies self-service by automatically capturing images, detecting feature points, calculating projection coordinates, and projecting the appropriate light patterns without requiring manual intervention to change light shields. The automated workflow from image capture to pattern projection eliminates the operational burden of manually selecting and installing different light shields, making the system both adaptable and easy to operate.

The patent implements dynamics by making the light projection pattern changeable and adaptive in real-time based on captured images and detected features. Instead of static light shields that require physical replacement, the system dynamically adjusts projection patterns through computational coordinate transformation, allowing flexible adaptation to different applications while maintaining ease of operation through automation.

The patent applies preliminary action by performing calibration once to establish the transformation relationship between the image-capturing module and projection module. This pre-established calibration information enables rapid coordinate transformation for subsequent projections without repeating the full calibration process, thereby reducing the time loss while maintaining high projection accuracy across multiple uses.

The system uses copying by creating a mathematical model (coordinate transformation relationship) from the single calibration process. This copied transformation model can be repeatedly applied to convert feature points from any captured image to projection coordinates without requiring physical recalibration, thus maintaining manufacturing precision while minimizing time loss through efficient reuse of the calibration data.