Maximizing the business value of AI
Manufacturers aim to deliver the highest quality at the lowest cost during the production or assembly process. At the same time regulations need to be met and worker safety must be guaranteed at all times.
A wide range of assets, from halls and machines, to materials and products must be closely monitored for potential hazards, defects, and quality issues. Physical inspection of all this requires a vast amount of deep knowledge due to product variables and ever-changing circumstances on factory floors. If manufacturers fail to detect issues, they will be unable to take immediate remedial action resulting in loss of margin, or worse.
Intelligent automation for physical inspection in manufacturing can prevent problems from escalating or happening in the first place. More importantly, it tackles an even bigger problem in the near future! In most factories, proprietary knowledge has accumulated in the brains of a small group of domain experts.
Years of experience and fine-tuned skills are almost impossible to replace, but inevitably your most experienced staff members will reach their retirement age. Protecting their knowledge by transferring it to BrainMatter as learning examples and detection skills, combined with actionable business rules is crucial.
BrainMatter intelligently automates the recognition of assets, the interpretation of their current state and initiates actions to resolve issues.
BrainMatter streamlines the process of automating tasks that require a level of knowledge, experience and skill.
It eliminates manual processing with the attendant risk of human error, ensuring inspections are undertaken at an optimal frequency and in compliance with regulatory requirements.
Tata Steel in IJmuiden produces sheet metal, sold as large coils. Inevitably there are a variety of defects in the material from minor to severe, caused by imperfections in the production process on the steel surface. These defects influence the overall quality and pricing of a coil and severe defects can even damage the production machines of the customer or of Tata Steel. Shutting down the machine to prevent breakage is a costly exercise that happens on a regular basis.