Finding out defects in components
Nature of implementation
Nature of organization
Visual Inspection in Manufacturing
Deep Learning, Object Detection & Tracking, Video & Image Analytics, Data Science
Background & Case
Quality control in manufacturing often suffers due to negligence in the manual inspection as well as limitation of human vision causing millions of dollars in losses. Manual visual inspection mistake ranges between 20 to 30 per cent. For a gear manufacturing company, the requirement was to improve the quality & productivity through the implementation of vision AI.
Combination of artificial intelligence, image processing and computer vision was used to find the anomaly in the manufacturing. The event has been generated to trigger the end user and various reports for improving the production output.
Value & Impact
The AI system are reliable and non-monotonous in the nature due to elimination of the human being. Other factors include cost and unavailability of the human resource. The biggest impact is the quality of the filtration and quality standardization.
Tooliqa specializes in AI, Computer Vision and Deep Learning to help businesses simplify and automate their processes with our strong team of experts across various domains.
Want to know more on how AI can result in business process improvement? Let our experts guide you.
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