Company Filing History:
Years Active: 2024-2025
Title: Innovations of Thorsten Falk
Introduction
Thorsten Falk is a notable inventor based in Waldkirch, Germany. He has made significant contributions to the field of optical code reading, holding a total of 3 patents. His work focuses on enhancing the accuracy and efficiency of reading one-dimensional optical codes.
Latest Patents
Thorsten Falk's latest patents include innovative methods for reading optical codes. One of his patents describes a technique for reading a one-dimensional optical code using a black-and-white profile formed from grayscale value profiles. This method involves capturing image data that includes the code and obtaining multiple grayscale value profiles. A black-and-white profile is then created through binarization, allowing for the code content to be read accurately. The process includes generating a sharpened grayscale value profile that enhances resolution and sharpness before binarization.
Another patent focuses on locating code image zones in an image of a code-bearing object. This method combines classical image processing techniques with machine learning to determine candidates for code image zones. The fusion of these candidates allows for precise localization of the code image zones, improving the overall effectiveness of the code reading process.
Career Highlights
Thorsten Falk is currently employed at Sick AG, a company known for its advancements in sensor technology and automation solutions. His work at Sick AG has allowed him to apply his innovative ideas in practical applications, contributing to the company's reputation for excellence in the industry.
Collaborations
Thorsten collaborates with talented individuals such as Romain Müller and Marcel Hampf. Their teamwork fosters an environment of creativity and innovation, leading to the development of cutting-edge technologies in optical code reading.
Conclusion
Thorsten Falk's contributions to the field of optical code reading demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of image processing and machine learning, positioning him as a key figure in advancing this technology.