Dallas, TX, United States of America

Warner C Scott


Average Co-Inventor Count = 1.0

ph-index = 8

Forward Citations = 334(Granted Patents)


Location History:

  • Dallas County, TX (US) (1978)
  • Dallas, TX (US) (1976 - 1997)

Company Filing History:


Years Active: 1976-1997

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11 patents (USPTO):Explore Patents

Title: Warner C. Scott: Innovator in Stacking Efficiency and Optical Character Recognition

Introduction

Warner C. Scott is a notable inventor based in Dallas, Texas. He has made significant contributions to the fields of stacking efficiency and optical character recognition. With a total of 11 patents to his name, Scott continues to push the boundaries of innovation.

Latest Patents

Among his latest patents is a "System to optimize the stacking efficiency of objects." This method considers various factors, including which objects are to be removed from the stack, the number of stacks without objects, and the number of objects to be removed or added to a stack. Another significant patent is the "Method of optical character recognition." This method involves recognizing a character through an imager, digitizing it, and transmitting it to a buffer memory. The data is read in a sequence that circumnavigates the character, allowing for the determination of various parameters, which are then compared to reference character parameters to provide an ASCII code output.

Career Highlights

Warner C. Scott is currently employed at Texas Instruments Corporation, where he applies his innovative ideas to real-world applications. His work has had a substantial impact on the efficiency of object stacking and the accuracy of character recognition technologies.

Collaborations

Scott collaborates with Richard H. Wiggins, Jr., a fellow innovator in the field. Their partnership has fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Warner C. Scott exemplifies the spirit of innovation through his patents and contributions to technology. His work in stacking efficiency and optical character recognition continues to influence various industries.

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