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  6. Reduce inspection costs! Automation and efficiency with AI 'MENOU-TE'

Reduce inspection costs! Automation and efficiency with AI 'MENOU-TE'

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last updated:Jun 30, 2025

因幡電機産業 産機カンパニー
因幡電機産業 産機カンパニー
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Automating inspections with AI reduces both the burden on the field and costs.

The MENOU AI development platform is an integrated development environment for no-code image inspection AI that does not require expertise in AI. 'MENOU-TE' achieves automation and labor reduction in inspection processes compared to traditional visual inspections and rule-based systems. With flexible inspection settings powered by AI, it can process multiple inspection conditions simultaneously, significantly reducing labor costs and the hassle of re-inspections. It is a cost-effective inspection solution that optimizes long-term operational costs while keeping initial investments low. 【Features】 ◇ Easy-to-use no-code AI development and operation tools  ・ An interface that allows inspectors to train AI  ・ Standard features for classification, counting, defect detection, etc. ◇ Low-cost implementation fees  ・ Free initial verification  ・ Affordable runtime licenses ◇ Support for selecting imaging systems (cameras, lighting, etc.)  ・ Assistance in selection and implementation using optical know-how  ・ Proposals for AI add-ons to existing equipment ◇ Quantitative analysis of inspection variability using AI and rule-based methods  ・ Hybrid use of AI and rule-based systems without coding  ・ Quantitative settings for advanced inspections that humans perform unconsciously through visual checks.

    Image analysis software
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Reduce inspection costs! Automation and efficiency with AI 'MENOU-TE'

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【Examples of AI Visual Inspection】 Metal Products: Scratches, chips, dirt, and rust on machined parts, screws, and nuts Coated Products: Unevenness, bubbles, scratches, abrasions, and dirt Food Products: Package misalignment, liquid leakage, and quantity counting Cast Products: Burrs, cracks, surface finish, chips, and scratches on cast parts Glass Products: Foreign objects on lenses, scratches, and chips, etc. For case studies, click here https://menou.co.jp/customers/ 【Feature Introduction】 - No-code AI inspection construction - Multi-stage AI allows learning with a small number of images - Rich integration features with cameras and PLCs - Equipped with smart annotation functionality - Combination of rule-based image processing and OCR is possible - Easy additional learning and model updates - Sharing of AI development know-how through a technical forum (https://forum.menou.co.jp/)

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MENOU-TE MENOU-QC Flyer

MENOU-TE MENOU-QC Flyer

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No-code inspection AI development tool "MENOU-TE"

No-code inspection AI development tool "MENOU-TE"

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MENOU AI Development Platform Introduction Materials

MENOU AI Development Platform Introduction Materials

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Introduction to AI Image Inspection that can be learned from the basics.

Introduction to AI Image Inspection that can be learned from the basics.

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[Limited Time] How to Choose AI Visual Inspection Software Webinar Replay

[Limited Time] How to Choose AI Visual Inspection Software Webinar Replay

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因幡電機産業

因幡電機産業 産機カンパニー

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Inaba Electric Industry Co., Ltd. Machinery Company - Three Business Areas 1) Robot and FA Business Robots are expected to automate the workplace, alleviate labor shortages, and stabilize quality. We propose a system of products, including not only collaborative robots that can be used without safety fences but also industrial robots and control devices that enhance productivity within factories. 2) FA Solution Business We provide comprehensive proposals that cover everything from software to hardware and networks, including "remote maintenance," "data collection," and "application development." 3) Original Product Development Business We are engaged in the development of products that enable the visualization of factories and the realization of smart factories through the use of IoT. We accurately capture the trends of the times and customer needs, and develop original products with high technical capabilities.

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