Jul. 21, 2021
Computer vision is a broad and well-established field that has developed many different subdomains and applications—so which of them is best for your organization? Defect detection is a task in computer vision with the goal of recognizing potential defects, errors, anomalies, and issues with products or machinery.
Before computer vision entered widespread use, defect detection was a slow, manual process. This presented several problems, including the potential for human error and the inability for workers to be available 24/7.
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Defect detection solves these problems by using AI models that have been trained to identify the most common types of flaws and issues. If the model believes that it has noticed a defect, it can send an alert to the appropriate individuals for a more thorough human inspection.
The advantages of a robust automated defect detection system include:
Nearly every business with significant physical infrastructure can benefit from a defect detection system. The use cases of defect detection in computer vision include:
Looking for more computer vision definitions? We have a complete computer vision glossary for you to get up to speed. If you’re thinking about defect detection for your own business, we’re here to help. Get in touch with our team of AI experts for a chat about your situation, or sign up today with a free account on the Chooch computer vision platform.