Defect detection
Defect detection is a crucial step in:
- reducing the number of defects and improve the quality of the final product;
- minimizing the costs associated with defect correction, both in terms of resources and time;
- improving product reliability by increasing customer satisfaction and market competitiveness.
insight
Technologies and tools
The following technologies and tools are used to analyse defects in images acquired by vision systems.
Traditional algorithms
Traditional algorithms are based on mathematical logic rules. They use, on controls and repetitive defects of simple identification.
Designed for simple applications.
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Edge Learning
Edge Learning optimizes and simplifies some Deep Learning process steps through pre-trained neural networks, ready to be used by any line operator.
Designed to be easy to use.
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Deep Learning
Deep learning is formed by neural networks that are trained by an expert on a dedicated smart camera or PC-based platform.
Designed for complex applications.
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definition
Neural networks
A neural network is a machine learning program, or model, that makes decisions in a similar way to the human brain, using processes that mimic the way biological neurons work together to identify phenomena, weigh options and come to conclusions.