Challenges
Quality control
Some flaws are too subtile & too small to be detected by the human eye. Indeed, the likelihood of production errors and quality problems typically increases when dealing with a product that has many different components all varying in size and function. Manufacturers are facing strict regulatory environment to ensure consumers safety & guarantee standards of quality. In cases of non-compliant products, it can lead to significant losses from dissatisfied customers to fines and class action lawsuits.
Objectives
• Increase First Pass Yield • Decrease Rework, Crap, Recall
• Reduce cost of control • Improve On-Time Delivery
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Solutions
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On the production line, cameras scan the product in 360° simultaneously, then the edge computing server collects, processes data in real time. BullSequana Edge offering the highest inference capabilities outside the datacenter in the plant. This solution dramatically cuts the costs of real time in-line inspection are answers to these use cases:
• Machine vision inspection systems where defects get classified according to their type and are assigned an accompanying grade or default • Package Inspection : count items before placing them into containers, check for broken or partially formed packages (right
color, length, width, and whole) so defective containers are then rejected • Object identification & classification • Manufacturers can deal effectively with regulations around products spec and compliance
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