What is Vision?

In an industrial context, Vision refers to Machine Vision or Computer Vision: systems that use cameras, image processing and algorithms to interpret visual information and make automated decisions.

Vision technology is widely used in production environments for quality inspection, object recognition, positioning and robot guidance.


🧠 What does a Vision system do?

  • Captures images via industrial cameras
  • Processes them with software (AI, filters, pattern recognition)
  • Detects deviations, dimensions, shapes, colours or barcodes
  • Sends decisions back to PLC, robotics or other systems

🔧 Components of a Vision system

Component Description
Camera Captures high-resolution images of the product or process
Lens Determines focus, sharpness and field of view
Lighting Provides consistent illumination for reliable detection
Vision software Performs image analysis and decision logic
Controller or PC Runs the software and communicates with other systems
Trigger sensor Activates capture at the right moment

🎯 Vision applications

  • Quality inspection (detection of scratches, cracks, missing parts)
  • Metrology (precision measurement of distances, angles, diameters)
  • Pick & Place: visual guidance of robots
  • Barcode/DataMatrix/QR Code scanning
  • Optical character recognition (OCR) for serial numbers or LOT codes
  • Sorting and classifying objects by colour, shape or label

🤖 Vision vs. AI Vision

Classical Vision AI-based Vision
Based on rules and filters Based on trained AI models (e.g. deep learning)
Less flexible with variation Better at complex, varying objects
Faster on known tasks Learning requires data and training
Pre-configured by a programmer Self-learning with feedback loops

✅ Benefits

  • Contactless inspection and measurement
  • Consistent and objective quality inspection
  • Increases production speed and reproducibility
  • Reduces error rates and waste
  • Essential for Smart Industry and Digital Twin applications

📌 In summary

Vision technology makes it possible to automatically ‘see’ and decide within industrial processes, and is therefore a key component in modern, automated quality and inspection systems.