We will provide support for the approach to AI visual inspection processes!
The disadvantages and advantages of AI visual inspection are as follows: 【Disadvantages of AI Visual Inspection】 1. Cannot make qualitative judgments 2. Cannot detect conditions outside of what it has been trained on 【Advantages of AI Visual Inspection】 1. Can detect foreign objects that may be overlooked by the human eye 2. Does not complicate the setting of inspection rules Although AI has its weaknesses, its greatest advantage is the ability to "correctly judge quantified criteria at a consistent speed." To effectively utilize this advantage and automate visual inspections, it is essential to meticulously quantify the qualitative judgments that have traditionally been made visually and to carefully adjust the judgment criteria during the training phase for the AI. This allows for automation while ensuring the quality demanded by the company. In summary, the disadvantages and advantages of AI visual inspection indicate that fine quantification of judgment criteria and meticulous threshold adjustments are indispensable. By implementing these, it is possible to significantly improve inspection challenges through the construction of custom-made AI.
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basic information
In the manufacturing industry, among various processing and inspection processes, there is the appearance inspection process, which is difficult to automate. The reason for the difficulty in automation is that it is hard to establish quantitative standard values for appearance inspection items (as they cannot be specified in product drawings), making it challenging to determine criteria for judging quality. For a long time, the appearance inspection process has relied on human eyes to conduct inspections based on limit samples for many inspection items. However, in recent years, with advancements in image processing technology, it has become possible to accurately assess a considerable number of items. Nevertheless, due to the difficulty in producing limit sample samples, it remains challenging to set clear thresholds, and ultimately, there are still situations where reliance on human eyes is unavoidable. This is where AI-based appearance inspection (AI-Visual-Inspection) has emerged.
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We will provide support for the approach and considerations regarding AI appearance inspection processes.
Company information
For manufacturing companies, the preparation of tools for production (jigs, molds, manufacturing equipment), the construction of line configuration and layout, and the creation of PFMEA and QC process charts to maintain product quality are fundamental to manufacturing and hold an important position. In this business, we focus on consulting in production technology, directly linked to the production site, particularly targeting small and medium-sized manufacturing companies, and we aim to support the growth of these enterprises. We will adjust the consulting targets based on the confirmation of customer needs.
![[Processing Example] Burr Repair for Molding Frame of Storage Case](https://image.mono.ipros.com/public/product/image/2e9/2000612497/IPROS05472609847783682136.png?w=280&h=280)
