Ai-based interactive vision system for quality control in blow-molded containers
Qualyco offers an advanced AI-driven vision system that uses thermal profiling and polarized imaging for real-time defect detection in blow-molded containers. The solution enhances quality control by identifying temperature imbalances and crystallinity variations, improving production efficiency.
Overview
Qualyco presents an innovative AI-based interactive vision system designed to enhance quality control in the manufacturing of blow-molded containers. By integrating thermal profiling and polarized imaging, this system enables real-time identification of defects such as cold-stretch pearlescence and heat haze. The solution utilizes deep learning models to analyze imaging data, allowing for accurate detection and segmentation of defects. Users can interact with the system through gestures or voice commands, providing a seamless and intuitive experience. This continuous feedback loop not only refines the system's accuracy but also enhances its ability to suggest optimal corrections during the blow molding process.
Technical specifications
- Defect Detection: Combines polarized and infrared imaging to detect temperature imbalances and crystallinity variations in preform walls.
- AI Integration: Employs deep learning models for data analysis, defect identification, and segmentation.
- User Interaction: Features an interactive human-machine interface supporting gesture and voice commands for real-time data annotation and process adjustments.
- Continuous Learning: System refines its knowledge base through user feedback, improving over time to suggest process corrections.
Technology readiness level
The technology is currently at TRL 3, where analytical and experimental proof of concept has been achieved. The system is undergoing validation in real-world settings to measure its accuracy, usability, and reliability in operational conditions.
About Qualyco
Qualyco is an industrial technology startup that leverages machine learning and artificial intelligence to provide solutions for production monitoring and anomaly detection. The company has developed a platform aimed at Industry 5.0, which features a human-centered design allowing non-expert users to configure and update quality control systems using simple voice commands. By utilizing user instructions, the technology is designed for data efficiency, requiring fewer sample images than traditional deep-learning models while remaining capable of continuous learning through ongoing operator interaction. The company's technology is also designed to interface with various industrial hardware, including PLCs, collaborative robots, and automated guided vehicles.
These capabilities are particularly relevant to manufacturing companies seeking to modernize their quality control processes without the need for large training datasets. Qualyco offers specialized solutions for tasks such as virtual sorting, surface defect detection on leather, marble, and metals, and production order integration. By focusing on the convergence of human expertise and machine intelligence, the company helps manufacturers solve common consistency and scalability challenges found in industrial inspection. Qualyco has sought patent protection for its technological innovations as part of its effort to establish new standards in automated industrial quality assurance.
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