【Product Information】Dramatically improve the productivity of AI learning! Data generation/management tool
Cofide for Factory
A must-see for those considering AI implementation! Streamline NG image generation and data management; preprocessing for machine learning has become surprisingly easy!
This is the ideal data management tool for manufacturers considering AI implementation. Preparing AI training data becomes easier, leading to reduced inspection time and lighter workloads. Challenges include: - Complex data management: Organizing image data is difficult, resulting in longer AI training times. - Insufficient NG data: There is a lack of defective product data, which hinders AI accuracy. - Difficult quality control: Data quality is inconsistent, causing variability in inspection results. Implementation is very simple! - Install the tool: Easy setup with cloud provision. - Upload data: Upload existing image data to the tool. - Generate NG samples: Automatically generate the necessary defective product data. - Train AI: Effectively train AI with high-quality data. Also perfect for those who have already implemented visual inspection! - Streamlined data management: Easily integrate and manage current visual inspection data. - Quality improvement: Support for evaluating and enhancing the quality of existing data. - Flexible response: Smooth integration with existing visual inspection AI. - AI validation support: Verify the performance of the AI model after implementation and assist with optimization. For more details, please refer to the 'Related Catalog' and contact us.
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basic information
【Features】 - Easy operation: Intuitive use without the need for AI expertise - Small-scale data support: Effective learning with small amounts of data - Domain-specific data augmentation: Data augmentation features tailored to specialized fields - XAI (Explainable AI): Understandable AI decision-making processes - QAAI (Quality Assured AI): Complete quality verification and visualization - Automatic annotation: Significantly reduces workload - Dataset version management: Provides data version management features 【Delivery Method】 Cloud (subscription-based)
Price information
Negotiable *The structure may change depending on the requirements, so please contact us.
Delivery Time
Applications/Examples of results
**Specific Use Cases** 1. Automobile Parts Manufacturer - Challenge: Data management is complex, and preparing for AI training takes time. - Solution: Implement data management tools and appearance inspection AI to manage data efficiently. Optimize AI training with NG sample generation and reduce inspection time. 2. Electronic Components Manufacturer - Challenge: Already implemented AI-based image inspection machines, but struggling with over-detection. - Solution: Introduce data management tools to evaluate image data with data quality management features, resolving the over-detection issue. Improve AI inspection accuracy. 3. Pharmaceutical Manufacturer - Challenge: Insufficient defective product data, leading to low AI accuracy. - Solution: Implement data management tools and appearance inspection AI to enhance AI training data with NG sample generation features. Improve defective product detection rates.
Detailed information
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[Screen Sample] Image List
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[Screen Sample] Data Preprocessing
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[Screen Sample] NG Data Generation
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[Screen Sample] Data Augmentation (Data Quality Verification Function)
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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.