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about us
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Vision Inspection Machine

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Preform Inspection System

Auto Visual Inspection Machine

High Speed Vision Inspection Systems
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contact us
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Solutions Details
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What is the difference between machine vision and computer vision?

What is the difference between machine vision and computer vision?

2025-06-03

Machine Vision Inspection is a technology based on image processing that is used to automate inspection processes in production lines in various manufacturing industries. Basically, it allows a computer to inspect and evaluate product quality using industrial cameras, lights, and computer vision software.

 

Machine vision automates specific industrial tasks like defect detection, assembly guidance, and barcode scanning, making processes faster and more cost-effective. 2. Computer vision uses AI to analyze visual data, supporting applications like facial recognition, healthcare diagnostics, and customer behavior analysis.

 

When computer scientists working in computer science disciplines that involve images, such as computer graphics, image processing, and computer vision, noticed that their methods and applications increasingly overlapped, they began using the term "visual computing" to describe these fields collectively.

Latest company case about
Solutions Details
Created with Pixso. Home Created with Pixso. Solutions Created with Pixso.

What is the difference between machine vision and computer vision?

What is the difference between machine vision and computer vision?

2025-06-03

Machine Vision Inspection is a technology based on image processing that is used to automate inspection processes in production lines in various manufacturing industries. Basically, it allows a computer to inspect and evaluate product quality using industrial cameras, lights, and computer vision software.

 

Machine vision automates specific industrial tasks like defect detection, assembly guidance, and barcode scanning, making processes faster and more cost-effective. 2. Computer vision uses AI to analyze visual data, supporting applications like facial recognition, healthcare diagnostics, and customer behavior analysis.

 

When computer scientists working in computer science disciplines that involve images, such as computer graphics, image processing, and computer vision, noticed that their methods and applications increasingly overlapped, they began using the term "visual computing" to describe these fields collectively.