VISIONGEEK GIVES

MACHINES EYES AND LET YOU

SEE NEW POSSIBILITIES

FROM HUMAN PERCEPTION TO MACHINE VISION TECHNOLOGY

Vision technology is about analysing and imitating how people see, evaluate and decide. People are therefor very well equipped. But the human visual perception also has limitations and shortcomings.

The domain of vision technology is broad, complex and constantly evolving. The added value of a vision technological system that is designed coherent, from observing to decision, is indisputable. Knowledge and creativity are the key words.

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Watching

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People look with 2 cameras (eyes) that adapt to the light conditions, and within a limited range of the light spectrum, reflections, motion, depth and colour, can perceive. We can recognize patterns but we also can be optical deceived.
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Machines make use of cameras (lenses and sensors), laser technology, exposure and scanning technology to capture images. ‘Looking’ multidimensional and pattern recognition are determined by the chosen technologies and software-based image editing. The range in the light spectrum is much broader than the human eye.

Evaluating

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To process images, we use a database of experiences (memory), and the ability to compare and interpret (thinking ability). This differs from person to person and is very subjective.
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Machines interpret images through software and are able to ‘see’ what is apperceived by the visual detection system (size, colour, shape, structure, etc.). The processed data can then be evaluated automatically. Much faster and more objective than humans can.

Deciding

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Human can handle a lot of variable and complex assessment context.
Expertise and experience are used to decide whether something is or is not up to the standard and is usable. He can change the tolerance in function of the target but the judgement will be different per person.

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The evaluation context must be determined in advance and can be complex, time consuming and even impossible. Wrong decisions (production stop, whether or not eject object from the line, alarming, etc.) can have undesirable consequences.
If a vision solution is properly designed it judges faster and more efficient than humans.

Learning

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People store an infinite number of different images, evaluations and decisions and use a complex assessment mechanism, based on experiences and perceived expectations. A self-learning but not infallible system.
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Artificial intelligence will in the future increasingly be used so machines get ‘experiences’ and they can learn from there for themselves. Today machines learn especially due to optimizations that are made by people after reviewing data from the visual detection system.

Pro

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  • Adaptive optics
  • Complex assessment context
  • Learning capacity
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  • Broader and more accurate perception
  • Verifiable interpretation variants
  • Speed
  • Permanently usable

Contra

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  • Limited perception
  • Stability of the perception
  • Stability of the assessment
  • Limited usable
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  • An allround and sustainable monitoring and evaluation system requires extensive knowledge and creativity

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