Precision 3D profilometry of consumer-grade computer enclosures using high dynamic range fringe projection.

Area of Science:

• Robotics and Automation
• Environmental Science and Engineering
• Computer Vision and Imaging

Background:

• Growing e-waste generation, particularly in Asia (approx. 30 million tons annually), poses environmental challenges.
• Discarded computer enclosures contain valuable precious metals and hazardous pollutants.
• Manual disassembly for recycling is costly and inefficient, hindering effective resource recovery.

Purpose of the Study:

• To develop an accurate 3D measurement method for robotic disassembly of e-waste.
• To overcome limitations of traditional 3D reconstruction techniques, especially for reflective surfaces.
• To provide reliable geometric data for robotic arm manipulation in e-waste recycling.

Main Methods:

• Proposed a 3D measurement technique utilizing multi-color high dynamic range imaging.
• Employed a seven-color illumination strategy to capture spectral responses from different wavelengths.
• Leveraged spectral characteristics to mitigate overexposure errors on highly reflective electronic components.

Main Results:

• The method successfully captured complete and reliable 3D morphological information of computer enclosures.
• Accurate 3D profiles of reflective components like CPUs and motherboards were obtained.
• Demonstrated robustness and practical applicability across various brands and form factors of computer enclosures.

Conclusions:

• The multi-color HDR imaging method effectively supports robotic arm manipulation for e-waste disassembly.
• This technique enhances the feasibility of automated recycling processes for electronic waste.
• The approach offers a promising solution for efficient recovery of valuable materials from e-waste.