Kristianstad, Sweden

Henrik Fasth


 

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Kristianstad, SE (2016 - 2018)
  • Lund, SE (2021)

Company Filing History:


Years Active: 2016-2021

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4 patents (USPTO):Explore Patents

Title: Henrik Fasth: Innovator in Image Processing Technologies

Introduction

Henrik Fasth is a notable inventor based in Kristianstad, Sweden. He has made significant contributions to the field of image processing, holding a total of 4 patents. His work focuses on developing methods and systems that enhance the efficiency and effectiveness of image data processing.

Latest Patents

Henrik's latest patents include a "Method and system for adjusting an image pipeline setting." This innovative method involves determining adjustments for image data processing settings, associating these settings with a tag, and transmitting them to the image pipeline. The system also allows for feedback regarding the processed image data, enabling further adjustments based on the received information. Another significant patent is related to "Calibration data in a sensor system." This method outlines a process for determining calibration data used when processing data from a connected sensor unit, ensuring accurate data handling and processing.

Career Highlights

Henrik Fasth is currently employed at Axis AB, a company renowned for its advancements in network video solutions. His role at Axis AB has allowed him to apply his innovative ideas in practical applications, contributing to the company's reputation as a leader in the industry.

Collaborations

Henrik has collaborated with talented coworkers such as Martin Santesson and Magnus Mårtensson. Their combined expertise has fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Henrik Fasth's contributions to image processing technologies through his patents and work at Axis AB highlight his role as an influential inventor in the field. His innovative methods continue to shape the future of image data processing.

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