Access to copyrighted material will be essential to developing effective AI systems for manufacturing, argues Zohar Kantor, chief revenue and customer success officer at quality inspection specialist QualiSense.
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AI tools like ChatGPT were trained using open-source material. What happens if your AI application requires domain-specific data that its locked away behind a wall of secrecy?
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The key difference between preventive maintenance and predictive maintenance is that the latter means completing maintenance only when needed, as opposed to scheduled intervals. Here, Miron Shtiglitz, VP for Product and Delivery at QualiSense, forecasts a future where data from inspection not only underpins maintenance schedules, but informs the very design of the product itself.
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Machine vision for parts inspection is a technology beset with misinformation. 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.
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Quality inspection software company, QualiSense, has scooped a prestigious award and grant funding for its technology. The BoostUp! Europe 2023 award is organised by the European Institute of Innovation and Technology (EIT) to help find solutions for contemporary industrial challenges and build links between innovative start-ups and industrial corporates.
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Who is the best person to train AI programs for defect detection? When using artificial intelligence (AI) as part of a quality inspection system, many programs require a data expert to help train the model. However, that person is not the most knowledgeable about the product itself.
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