In recent times, image processing technology powered by AI has been increasingly highlighted, leading many to intuitively think that "image processing-based identification seems better than visual inspection."

Here, we'll explain the benefits of utilizing image processing systems from the perspectives of quality, delivery, and cost.

1.Quality

(1) Stabilization of Determination

Variability in determination results caused by humans will be reduced.

(2) Ensuring Traceability

Since the image data captured during determination is retained, it becomes easier to trace the origin of defects in the event of issues or complaints.

(3) Creating Opportunities for Quality Improvement through Visualization of Defect Trends

By capturing determination results as digital data, it becomes easier to understand the trends in defect occurrences. Grasping these trends aids in planning measures to control defects and contributes to investigating the causes of defects through comparisons with other production line data.

2.Stabilization of Delivery Schedule

(1) Reduction of Production Lead Time

By integrating the determination process, which was previously conducted offline in a separate room after production completion, directly into the production line, it is possible to eliminate one step in the process, thereby contributing to a reduction in production lead time.

(2) Stabilization of Production Lead Time

Even when replacing offline visual inspections with image processing systems, the variability in determination speed that occurred with human operators is eliminated, stabilizing lead times and making it easier to plan the production process up to shipment.

3.Cost Reduction

(1) Early Detection of Defects Leading to Loss Cost Reduction

By using an image processing system for determination within the process, defects can be detected early, reducing the time to initial response. Additionally, if the defects occur continuously due to equipment issues or material problems, this can lead to a reduction in loss costs.

(2) Reduction of Inspector Recruitment, Training Costs, and Labor Expenses

Visual determination involves not only visible costs such as inspector wages, but also less visible costs like securing and training inspectors. By using image processing technology, the skills required for visual inspection by inspectors are no longer needed. Furthermore, automating transport and sorting can facilitate manpower cost reduction through unmanned operations.

4. Summary

The utilization of image processing technology and the implementation of automation contribute not only to the improvement of quality and the stabilization of delivery times but also to cost reduction, thereby enhancing market competitiveness.

In particular, while the improvement in quality may be challenging to quantify in terms of cost-effectiveness, it significantly enhances trust from customers in the medium to long term, contributes to the establishment of long-term business relationships, and consequently contributes to business expansion through increased opportunities for orders and improved market share.