AI-powered visual quality control system EYE-Q

Overview
Manufacturers in bakery, pastry and food processing must meet market demands for greater product variety while maintaining consistent quality. To address these needs, the team of experts at ABI developed the EYE-Q quality control system. This solution, integrating artificial intelligence, accurately evaluates product quality at multiple stages of production. Fully automated, EYE-Q ensures continuous inspection of each product across a wide product range.

Operation and benefits
By integrating advanced technologies and multiple sensors, the EYE-Q system delivers a tailored solution that optimizes production requirements and improves overall performance. The system detects deviations at the source, generates alerts and proposes rapid corrective actions to maintain maximum production yield. Its intuitive interface and customizable dashboard enable quick adoption with minimal technical skills. EYE-Q reduces the number of non-conforming products and, when coupled with ABI robotic systems, supports automatic ejection of defective items.

Key features

• Intelligent product categorization: advanced machine learning technology for precise classification and reliable analyses.
• AI analyses: targeted alerts and corrective recommendations for rapid problem resolution.
• Ease of use: intuitive interface and customizable dashboard for quick adoption.
• Waste management: minimizes production losses and downtime, supporting sustainable practices while safeguarding the quality of bakery products.

Technical specifications

• Continuous automated inspection of each product across a wide product range.
• Integration of multiple sensors to capture diverse quality data.
• Machine learning algorithms for categorization and anomaly detection.
• User interface with customizable dashboard and real-time alerting.
• Capability to suggest corrective actions and interface with robotic systems for automatic ejection of defective products.
• Designed to reduce non-conforming products and optimize production yield.