Company Filing History:
Years Active: 1994-2017
Title: The Innovative Contributions of Christopher E. Tilt
Introduction
Christopher E. Tilt is a notable inventor based in Portland, OR (US). He has made significant contributions to the field of technology, particularly in the area of automatic image capture systems. With a total of 6 patents to his name, Tilt's work has advanced the capabilities of intelligent mobile devices.
Latest Patents
One of Tilt's latest patents focuses on an improved automatic image capture system for intelligent mobile devices equipped with cameras. This innovative system guides users to position their cameras correctly, ensuring that only a single image needs to be captured automatically. The technology utilizes syntactic features through a viewfinder on the device's display, helping users maximize the occupancy of the viewfinder with the document being captured. By detecting the corners of the document, the system ensures that the document is optimally framed. Once the occupancy is maximized, the camera automatically captures the image for post-processing, leveraging semantic knowledge of the document. A confidence level is computed based on this semantic knowledge, allowing for greater accuracy in qualifying the image without user intervention before it is transmitted to a remote site.
Career Highlights
Throughout his career, Christopher E. Tilt has worked with several prominent companies, including Iparse, LLC and Tektronix, Inc. His experience in these organizations has contributed to his expertise in developing innovative technologies.
Collaborations
Tilt has collaborated with notable individuals in his field, including Rex Howard Stevens and Alistair C. Williamson. These collaborations have likely enriched his work and contributed to the success of his inventions.
Conclusion
Christopher E. Tilt's contributions to the field of technology, particularly in automatic image capture systems, demonstrate his innovative spirit and dedication to advancing mobile device capabilities. His patents reflect a commitment to improving user experience and accuracy in image processing.