Challenge

Within the machinery industry, the precision of harness assembly stands as a critical factor. Assemblers bear the responsibility of guaranteeing the accurate attachment of connectors, the presence of wiring shielding, and precise length measurements. However, manual verification processes tend to consume valuable time, often causing production bottlenecks and heightening the probability of errors. These challenges significantly contribute to inefficiencies, escalating rework rates, and inflating operational costs, consequently affecting Company Y's productivity and bottom line.

Solution

In tackling assembly challenges, Company D adopted an AI-powered Harness Assembly Quality Assurance system. This innovative solution integrates Siemens IPC 520A, NVIDIA Jetson Xavier NX GPU, and Teledyne GigE cameras stationed at individual workstations, enabling real-time monitoring of harness assembly. Leveraging TensorBox-optimized computer vision in tandem with SIMATIC EDGE, the system adeptly detects subtle deviations, offering immediate feedback. AI algorithms efficiently flag discrepancies, guaranteeing precise and specification-compliant assembly processes.

Project Highlights

After deploying the AI Quality Assurance system, the company observed remarkable improvements in harness assembly accuracy within a concise four-month period. Substantial reductions in error rates were achieved as the AI system offered real-time guidance, diminishing the necessity for manual inspections and subsequent rework. Consequently, the production process underwent a significant streamlining, exhibiting a noteworthy increase in throughput and a reduction in waste. The investment in AI technology proved highly beneficial, not only amplifying operational efficiency but also curbing costs linked to quality issues. This strategic advancement has positioned the company at the forefront of technological innovation within the machinery industry, granting a notable competitive edge in the market.