Development of optical depth-sensing technology with a mechanical control lens and diffuser.

Area of Science:

• Optics
• Computer Vision
• Robotics

Background:

• Traditional depth-sensing methods often struggle with environmental factors and computational complexity.
• Developing robust and efficient depth perception is crucial for advanced imaging and robotics.

Purpose of the Study:

• To introduce a novel, cost-effective optical depth-sensing technology.
• To enable the reconstruction of 2.5D models with high resolution and speed.

Main Methods:

• A diffuser was added to a 2D camera lens to create a shallow depth of field.
• The system calibrates motor steps to focus distance and uses Laplacian equations to determine object contours and depth.
• Focus images are processed to calculate depth information and reconstruct a 2.5D model.

Main Results:

• The developed optical depth-sensing system successfully reconstructs 2.5D models.
• The system demonstrates robustness against sunlight and object material variations.
• High resolution and fast calculation speeds were achieved.

Conclusions:

• The proposed depth-sensing technology is simple, environmentally robust, and computationally efficient.
• This system provides a practical solution for depth perception in various applications.
• The ability to capture color images further enhances its versatility.