What is workflow of the intelligent leather cutting machine ?
2024-12-26
Case Study: Intelligent Leather Cutting Machine in Action
Client Background
A luxury leather goods manufacturer approached us with a challenge: they needed to improve the efficiency and precision of their cutting process while minimizing waste caused by defects in genuine leather materials. Genuine leather, being a natural material, often has surface flaws such as scars, wrinkles, or irregularities. The traditional manual cutting process was time-consuming, prone to errors, and resulted in significant material wastage.
Challenges
High Material Waste: Surface defects were not always accurately identified during manual inspection, leading to flawed pieces being used or excessive discarding of usable leather.
Inconsistent Quality: Manually avoiding defects during cutting led to inconsistency in product quality.
Low Efficiency: The manual process was slow, impacting production timelines and increasing labor costs.
Solution: Implementation of Intelligent Leather Cutting Machine
To address these challenges, the manufacturer adopted the intelligent leather cutting machine equipped with advanced photo recognition and automated defect-avoidance technology.
Workflow
Defect Identification: The leather pieces were first inspected, and visible defects were marked manually. The machine’s photo recognition system scanned the leather to identify both marked defects and unmarked, but obvious, flaws using its advanced detection algorithms.
Material Recognition: The system accurately recognized the boundaries of the leather piece and the flawed areas. It created a virtual map of the usable and unusable sections.
Layout Import and Optimization: The desired cutting layout was imported into the machine. Using its intelligent typesetting algorithm, the machine optimized the layout to maximize material utilization while avoiding flawed areas.
Cutting Execution: Once the cutting path was finalized, the operator initiated the process by pressing the start button. The machine began its cutting work, producing flawless, intact pieces with high precision.
Results: The finished pieces were inspected, and the cuts were perfectly aligned with the layout, avoiding all flawed areas. The boundaries between the usable leather and defect zones were precise, ensuring consistent quality in the final products.
Results Achieved
Material Savings: By avoiding flawed areas and optimizing the cutting layout, the manufacturer reduced material wastage by 20%.
Enhanced Efficiency: The cutting process became 50% faster compared to manual cutting.
Improved Quality: All cut pieces were flawless, ensuring higher product quality and reducing rejections.
Labor Savings: The automation of the process allowed the manufacturer to redeploy workers to other value-adding activities.
Conclusion
The implementation of the intelligent leather cutting machine revolutionized the manufacturer’s production process. By leveraging advanced technologies such as photo recognition, defect detection, and intelligent typesetting, the company achieved significant savings in materials, time, and labor while ensuring consistent, high-quality output. This case demonstrates how automation can effectively address traditional manufacturing challenges and drive operational excellence.