AI-Based Visual Inspection and Data Management Solutions for Quality Managers
Confide for Factory
Attention: Improve work efficiency with the automation of image inspection! Easily and high-quality implement good product detection and defective product image generation with AI that provides understandable reasoning.
This is an AI solution designed for the manufacturing industry. It dramatically improves the automation of factory inspection tasks, enhances work efficiency, and increases the accuracy of quality control. It centralizes the generation and management of NG (non-good) data, streamlining the creation and management of AI training data. Additionally, it standardizes the skills required for inspection tasks, achieving skill-less operation. Key Features: - Intuitive operation: No need for AI expertise, easily operable by anyone. - Learning with a small amount of data: Efficient learning enables the quick construction of high-precision models. - Visualization of decision-making rationale: XAI technology clarifies the rationale behind AI decisions, enhancing reliability. - Generation and management of defective product data: Reduces the burden of data collection and optimizes quality control. Target Audience: - Production Management Department: Planning and managing production schedules, improving production efficiency, reducing defective products. - Producers: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies. - Quality Control Department: Conducting product quality inspections, detecting and addressing defective products, establishing quality assurance processes, confirming compliance with standards. - DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis. - Companies that have already introduced image inspection machines and are facing issues with over-detection. *Please contact us for more information.
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basic information
【Specifications】 1. Operating Interface: Intuitive UI/UX 2. Data Learning: Supports learning from a small amount of data 3. Technology: Domain-specific data augmentation technology, XAI (Explainable AI), QAAI (Quality Assurable AI) 4. Annotation Tool: Automatic annotation, multi-class annotation 5. Data Management: Version control features for datasets 6. Learning Algorithms - Good Product Learning (Unsupervised Learning): Learning AI models using only OK data - Defective Product Learning (Supervised Learning): High-precision anomaly detection using both OK and NG data 7. Sample Generation Function: Generation of NG data 【Operational Environment】 - Cloud: Low cost, no infrastructure management required, continuous updates - On-premises: Customizability, integration with existing systems *For more details, please refer to the 'Related Catalog' and contact us.
Price information
Negotiable *Please consult with us as the structure may change depending on the requirements.
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Applications/Examples of results
【Examples of Use】 1. Semiconductor manufacturing: Wafer inspection, chip appearance inspection, packaging defect inspection 2. Casting industry: Surface inspection of cast products, internal defect detection, product dimension inspection 3. Automotive manufacturing: Inspection of scratches and dents on body panels, defect detection of engine parts, quality inspection of interior components 4. Processed food industry: Packaging defect inspection, foreign object detection in contents, error detection 5. Chemical industry: Appearance inspection of chemical products, defect detection in packaging, confirmation of product uniformity 6. Pharmaceutical manufacturing: Inspection of chipping and cracking of tablets, foreign object detection in packaging, error detection in labels 7. NG image generation: Artificially generating defective images for machine learning to compensate for data shortages 8. Quality verification: Using QAAI technology to verify the quality of AI models and gather stable performance *We have prepared "product materials," "case studies," etc., so please contact us.
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Company information
Our company is an AI startup founded by researchers from the University of Tokyo and the French research institution Inria, with a mission to "improve quality and efficiency through advanced AI technology" specifically for the manufacturing and logistics industries. Our technology meets the needs of quality control, production technology, and DX promotion departments, enabling optimization of production processes and risk management. The founder, Yamamoto, has conducted AI research at Yahoo Japan and Inria, presenting results at top international conferences such as WWW and RecSys. Over 80% of our team consists of researchers who studied AI and computer science at world-class universities like the University of Tokyo, Cambridge, and Imperial College. With their international perspectives and advanced skills, we provide innovative solutions to quality control challenges. In particular, in mission-critical areas that emphasize the interpretability of AI, our XAI (explainable AI) technology brings transparency to the reasoning behind AI decisions for managers in quality control and production technology departments, supporting safer and more reliable system operations. This leads to improvements in production efficiency and quality, promoting sustainable growth in the manufacturing and logistics industries.