Rapid advancements in cost effective sensors and micro computers are now making practical the on-line implementation of pattern recognition based systems for a variety of industrial applications requiring high processing speeds. One major application area for real time pattern recognition is in the sorting of packaged/cartoned goods at high speed for automated warehousing and return goods cataloging. While there are many OCR and bar code readers available to perform these functions, it is often impractical to use such codes (package too small, adverse esthetics, poor print quality) and an approach which recognizes an item by its graphic content alone is desirable. This paper describes a specific application within the tobacco industry, that of sorting returned cigarette goods by brand and size.
Gary M. Fitton, Gary M. Fitton,
"Real-Time Pattern Recognition - An Industrial Example", Proc. SPIE 0281, Techniques and Applications of Image Understanding, (12 November 1981); doi: 10.1117/12.965743; https://doi.org/10.1117/12.965743