Machine vision system for quantifying engine valve deposits

A. C. Hansen, A. G.P. Brooker, J. F. Reid

Research output: Contribution to journalConference articlepeer-review


Inlet valve deposits in gasoline engines have a significant effect on engine operation with particular reference to cold starting and driveability. Present methods of quantifying these deposits by weighing them or rating them with the aid of a visual rating scale are recognized as not being reliable indices of the detrimental effect of these deposits. A valve deposit quantification system was developed that relied on the use of machine vision. Algorithms were formulated to track the silhouetted edge profile of a backlit valve from which a valve volume was determined. The valve deposit volume was calculated as the difference in volume between the valve in its clean and coked states. The system was able to detect a minimum coke deposit level of 0.06g at the 95% confidence limit, the accuracy being based on the correlation between the volume as determined by the vision system and the mass of the deposit.

Original languageEnglish (US)
JournalSAE Technical Papers
StatePublished - 1993
Externally publishedYes
EventFall Fuels and Lubricants Meeting and Exposition - Philadelphia, PA, United States
Duration: Oct 18 1993Oct 21 1993

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering


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