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Neural Network for Smart Adjustment of Industrial Camera - Study of Deployed Application

  • Petr DolezelEmail author
  • Daniel Honc
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 554)

Abstract

Since machine vision is gaining more and more interest lately, it is necessary to deal with correct approaches to visual data acquisition in industry. As a particular part of this complex problematics, a technique for the industrial camera exposure time and image sensor gain tuning is presented in this contribution. In comparison to other approaches, a human expert photographer is used instead of explicitly defined cost function. His knowledge is transformed into an artificial expert system represented by a feedforward neural network. The expert system then provides the suitable exposure time and image sensor gain to gather sharp and balanced images.

Keywords

Industrial camera Smart camera Auto-exposure Artificial neural network 

Notes

Acknowledgment

The work was supported from ERDF/ESF “Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)” (No. CZ.02.1.01/0.0/0.0/17_049/0008394).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of PardubicePardubiceCzech Republic

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