An Intuitive User Interface that Simplifies the Complex
LESS IS MORE
This system utilizes an intuitive user interface combined with high-precision inspection equipment to help machines judge and record the location and type of defects. It also employs IoT technology to synchronously upload data to the Cloud, reducing the manpower burden of inspection and recording, and allowing glass inspection equipment manufacturers to easily use the latest technology to solve common problems on the client side.
Development Highlights
Saves Time and Labor
Fully automated system significantly reduces the manpower burden for inspection and recording.
Automatic Cloud Data Upload
Machine inspection and judgment data is automatically uploaded to the Cloud, making remote monitoring more efficient.
Accurate and Reliable
Fast response, stable, and reliable.
Enhances Quality and Maintains Stable Production
When yield anomalies are observed, data can be used to quickly locate and resolve issues.
Simple and User-Friendly Interface Design
Intuitive user interface turns complex tasks into simple ones, easy to understand and use immediately.
High Scalability
100% designed and manufactured in Taiwan, offering flexible custom development.
Project Development Overview
Production process yield rate is often a key factor directly affecting costs and production efficiency. High-tech manufacturers, in particular, hope to reduce defects and save costs in R&D and manufacturing processes. To help equipment manufacturers easily use the latest technology to solve clients' problems, YenProtek Technology collaborated with IICc Ltd. in this project to develop a custom automated glass inspection system. With an intuitive interface and excellent inspection equipment, specifically designed for glass, backlight board, touch panel, and thin-film LCD panel production lines, it can quickly and accurately detect the locations and types of product defects, such as bubbles, foreign objects, chipped edges, bumps, scratches, cracks, and flatness. In addition to assisting in accurate judgment, it leverages IoT technology to synchronously upload results to the Cloud for complete records. When production line yield anomalies are found, the data can be used to quickly locate and improve problems, maintaining production quality and stability. The fully automated system can also significantly reduce the labor burden of inspection and recording, making production line operations more efficient.
