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Home > AI for Manufacturing > Visual Quality Inspection

Visual Quality Inspection

Deep Learning models can be used to detect and localize the defects in images creating a visual inspection system. This system can notify employees about defective parts on production lines. Automating quality inspection reduces cost of production by saving time and increasing throughput, increases employee safety and improves the quality of the products.

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1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

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Deeper Intro

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Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

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3. Do

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Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

DAGM 2007 competition dataset

Weakly Supervised Learning for Industrial Optical Inspection. This is a synthetic dataset for defect detection on textured surfaces.

Casting Product image data for Quality Inspection

Casting Products Defects. 7348 images annotated as “Defective” or “Ok”


Off-the-Shelf Products using AI for Visual Inspection

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