AI-Powered Quality Control and Process Efficiency

Artificial Intelligence is transforming quality control in the flat glass industry. Using deep learning technologies, intelligent inspection systems can detect glass defects, including scratches and inclusions, with greater speed and precision, helping manufacturers reduce rework, minimize waste, and improve product quality.

AI also supports production process optimization by analyzing large volumes of operational data to identify inefficiencies, improve resource utilization, and streamline workflows. These capabilities contribute to more efficient manufacturing, reduced energy consumption, and lower CO₂ emissions.

Smarter Order Entry with A+W's MIRA

To simplify one of the most time-consuming tasks in glass processing, A+W Software developed MIRA, an AI-powered assistant designed to automate order entry and reduce manual administrative work.

MIRA can read and process order information from emails, PDFs, and written notes, transferring relevant data directly into existing software systems. By learning from user corrections, the assistant continuously improves its accuracy and adapts to individual operational requirements.

Trained specifically for each customer's unique workflows, MIRA represents an important step in the A+W Smart Factory vision. With plans to expand its capabilities, the AI assistant will further support the transition toward intelligent, connected, and automated glass production.

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This article is based on information published by Glass on Web, exploring the growing applications of artificial intelligence in flat glass processing and A+W Software's MIRA solution.