Why the Conventional Deep Learning Model is Broken
The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line. Here, Karina Odinaev explains why the conventional deep learning model is broken and what the alternatives are.
Why training with few good images is fake news
As recently as five years ago, the only way to teach a machine vision system what a good product looked like was to laboriously show it every possible fault, mark and annotate the errors and catalogue them.
Unleashing the Potential: Quality Validation in Additive Manufacturing
As the adoption of AM grows across sectors ranging from aerospace to medical devices, one critical challenge remains: ensuring the quality and reliability of 3D printed components.
Why Visual AI Inspection Is Essential for Detecting PCB Defects
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Artificial intelligence (AI) can help manufacturers handle quality control while managing larger volumes. Here are some compelling reasons people use visual inspection AI tools in modern production facilities.
The Monetary Impact of Quality and Quality Management
Quality is not something that you can add into your product in the last step of your process. Quality is the outcome of all your processes and efforts.
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