{"id":1542,"date":"2023-06-21T07:32:10","date_gmt":"2023-06-21T07:32:10","guid":{"rendered":"https:\/\/autfactory.com\/ai-on-the-store-floor\/"},"modified":"2025-07-02T11:43:59","modified_gmt":"2025-07-02T11:43:59","slug":"shopfloor-ai","status":"publish","type":"page","link":"https:\/\/www.autfactory.com\/en\/more-insights\/shopfloor-ai\/","title":{"rendered":"AI on the store floor"},"content":{"rendered":"
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We are already working today on your digital store floor of tomorrow.<\/h2>\n\n\n\n

The digital transformation in the manufacturing sector is progressing rapidly. However, many companies are still facing challenges when it comes to implementing artificial intelligence (AI). According to a recent survey<\/a>, 60% of respondents<\/strong> from European manufacturing companies stated that The biggest hurdle is a lack of expertise.<\/strong>autfactory makes it easy to apply AI to your production data. You don’t need in-depth knowledge in this area yourself. We take care of the technology so that you can concentrate on the essentials: optimizing your processes and increasing efficiency.<\/strong> With autfactory, your store floor is already fit for tomorrow.<\/p>\n\n\nIch m\u00f6chte mehr erfahren<\/a>\n<\/div>\n\n\n\n

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Data is the new gold<\/h2>\n\n\n\n
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Nowadays, it is impossible to imagine our daily business without data collection and tracking. However, data alone only adds value to a limited extent; it is important to use the data in a meaningful way.<\/strong> In collaboration with our AI partner IconPro<\/a>, we have dedicated ourselves to precisely this challenge. With autfactory, we deliver production data of exceptionally high quality. This makes it possible to feed the AI system with the best possible data.<\/p>\n<\/div>\n\n\n\n

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Together, we were able to create a dashboard for the continuous identification of anomalies and quality deviations. This is then used to derive appropriate corrective measures and recommendations for action. Detecting and analyzing patterns in the data becomes much easier and clearer for the user thanks to AI that can be explained. Clustering of relevant data also becomes possible, for example for more precise technical inspection, or for detailed analysis of borderline components. This shifts the role of humans to decision-makers who make targeted and well-founded decisions based on the recommendations for action generated by the AI. <\/p>\n<\/div>\n<\/div>\n\n\n\n

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AI on the Shopfloor: Breakthrough in quality assurance<\/h2>\n\n\n\n

Artificial intelligence and deep learning on the store floor are no longer dreams of the future. We are also intensively involved with these technologies and were able to gain interesting insights for quality assurance in practice as part of a research project. In collaboration with our apartner, we were able to demonstrate, that after data preparation, analysis and training of the artificial intelligence:<\/p>\n\n\n\n

We know which components are NOK before they are measured or confirmed by the end -of-line test bench!<\/strong><\/p>\n\n\n\n

<\/div>\n\n\nMehr zu Predictive Quality erfahren<\/a>\n<\/div>\n\n\n\n
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Detect rejects ahead of time<\/h3>\n\n\n\n

Predictive Quality<\/a><\/h2>\n\n<\/div>\n\n\n\n

AI-based solutions enable you to detect defective products at an early stage and remove them from production. Thus, defective end products can be reduced. The sample size for EOL quality checks can also be minimized, as AI could identify potential errors earlier than the current quality assurance process.<\/p>\n<\/div>\n\n\n\n

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Respond faster &<\/h3>\n\n\n\n

Reduce costs <\/h2>\n\n<\/div>\n\n\n\n

The use of artificial intelligence in production leads to significant cost savings. Thanks to early detection of defective parts, scrap and quality inspection costs can be minimized. In addition, the time spent on rework <\/a>can be significantly reduced.<\/p>\n<\/div>\n\n\n\n

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Use resources wisely<\/h3>\n\n\n\n

Relieve users<\/a><\/h2>\n\n<\/div>\n\n\n\n

The near real-time analysis of production data performed by AI allows experienced users to focus on more important tasks (e.g., process and work improvements) instead of wasting their time on repetitive data analysis. The reconfiguration of the manufacturing process can also be performed by “non-experts” supported by AI guidance<\/p>\n<\/div>\n<\/div>\n\n\n <\/div>\n\n <\/div>\n

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Transfer of expertise<\/h2>\n\n\n\n

The accumulated knowledge can be transferred to other production lines.<\/p>\n\n <\/div>\n<\/section>\n<\/div>\n<\/div>\n\n\n\n

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Digitization of expertise<\/h2>\n\n\n\n

Spot measurements replace the 100% EOL quality inspection. Recommendations for correction are proposed to the workers in case of deviations.<\/p>\n\n <\/div>\n<\/section>\n<\/div>\n<\/div>\n\n\n\n

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Anomaly detection<\/h2>\n\n\n\n

The AI solution identifies a pattern in the production data that indicates a possible quality deviation and recommends an additional quality check.<\/p>\n\n <\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n\n\n <\/div>\n\n <\/div>\n

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Our customers optimize their production processes with autfactory<\/h2>\n\n\n\n
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Do you also want to digitize and optimize your production?<\/h2>\n\n\n\n

At AUTFORCE, we specialize in testing systems & industrial software <\/strong>. Get in touch with us. Together we will find the best solution for your particular challenge!<\/p>\n\n\n\n

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Christoph Steiger<\/strong>Expert for industrial software+43 (664) 597 86 68<\/a>christoph.steiger@autforce.com<\/a> <\/p>\n\n\n\n