Analysis of Laser Sensors and Camera Vision in the Shoe Position Inspection System.

Area of Science:

• Industrial Automation
• Manufacturing Technology
• Sensory Systems

Background:

• Inspection systems are crucial for monitoring product quality in manufacturing.
• Camera systems are commonly used but have limitations in detailed inspection tasks.
• Advancements in sensory technology are needed for precise quality control.

Purpose of the Study:

• To evaluate camera and laser sensor systems for inspecting shoe upper placement on lasts.
• To determine the advantages of laser sensors for this specific industrial inspection task.
• To analyze the resolution capabilities of laser scanners for complex surfaces.

Main Methods:

• Implementation of camera devices for shoe last inspection.
• Analysis of laser sensor application for the same task.
• Definition of laser scanner resolution based on surface type and polynomial regression.
• Description of two distinct industrial inspection systems, one incorporating Industry 4.0 principles.

Main Results:

• Laser sensors demonstrate clear advantages over camera systems for inspecting upper placement on shoe lasts.
• A method was developed to define laser scanner resolution (0.16–0.5 mm/point) based on surface characteristics.
• Two inspection systems were presented, with one showing significant potential for automation and Industry 4.0 integration.

Conclusions:

• Laser sensors provide higher resolution and quality data for industrial inspection tasks.
• The developed method optimizes scanner resolution for varying surface complexities.
• Future work should focus on leveraging advanced sensory systems for enhanced automation and data quality in manufacturing.