Method of and video system for identifying different light-refle

Facsimile and static presentation processing – Facsimile – Specific signal processing circuitry

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

358107, 356237, 250225, 250562, H04N 718

Patent

active

040287289

ABSTRACT:
Article surface defect detection methods and closed-circuit video systems for use therewith are disclosed for discriminating between different types of light-reflective surface areas on articles. Such methods and systems are particularly adapted to ascertain the presence and absence of, as well as condition of, circuit paths and satisfactory versus unsatisfactory soldered connections on printed circuit boards. In order to optimize the contrast between such two-dimensional and three-dimensional light-reflective surface areas, a specially oriented and polarized screen is interposed between the light source and article surface to be examined, and a rotatably adjustable polarized filter is preferably mounted on the camera, with the axis of the lens system thereof being oriented substantially perpendicularly to both the polarized light rays and the exposed article surface to be examined.

REFERENCES:
patent: 3713741 (1973-01-01), Sheehan
W. P. Shaw, High-Speed Automatic Particle Counter, 2-75, p. 2588, I.B.M. Technical Disclosure Bulletin.
E. E. Haas, Surface Defect Detector, 1-72, p. 37, Western Electric Tech. Dig. No. 25.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method of and video system for identifying different light-refle does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method of and video system for identifying different light-refle, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method of and video system for identifying different light-refle will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1241781

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.