![[Example] Automation of test equipment setup using machine learning](https://image.www.ipros.com/public/product/image/562/2000754313/IPROS42172818993849326540.png?w=280&h=280)
[Example] Automation of test equipment setup using machine learning
A case study of conducting a proof of concept for machine learning and deep learning aimed at automating device settings!
The challenges faced by manufacturers of testing equipment for various products are that the setup of the equipment is heavily dependent on highly skilled technicians, making technical succession difficult. Furthermore, the setup work for the equipment requires adjustments at the micron level, and many failure patterns rely on the intuition of the technicians, making documentation extremely challenging. To determine specific initiatives to address these challenges, we identified potential issues in advance and conducted a proof of concept (POC) for automation of equipment setup using machine learning and deep learning. Through repeated trial and error, we succeeded in gradually achieving results toward automation. [Case Overview (Partial)] ■ Client Industry: Electronics ■ Service Line: Technology / AI & Analytics *For more details, please refer to the PDF document or feel free to contact us.
- Company：パクテラ・テクノロジー・ジャパン
- Price：Other
