What Is Defect Detection?


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:

  • Lower costs: Businesses can identify and fix defects, errors, and anomalies before products leave the manufacturing line, helping them save money on corrective measures such as refunds or recalls.
  • Stronger reputation: In addition to saving on short-term expenses, defect detection also helps businesses avoid long-lasting damage to their reputations in the form of decreased consumer confidence and even product liability lawsuits.

Nearly every business with significant physical infrastructure can benefit from a defect detection system. The use cases of defect detection in computer vision include:

  • Industrial AI: Defect detection is most obviously useful for industrial and manufacturing firms. Using cameras and AI models deployed on edge devices, manufacturers, suppliers, distributors and industrial operations companies can keep an eye on their infrastructure around the clock. Highly accurate defect detection systems can reduce or even eliminate the need for human visual inspection.
  • Safety and security AI: Businesses can use defect detection to improve workplace safety and security. From construction zones to remote sites, defect detection systems can keep a watchful eye on critical points of interest at all times.
  • Geospatial AI: Using drone and satellite imagery, defect detection models can identify damage or anomalies in physical infrastructure such as bridges, roads, and buildings.

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.