Singapore, Singapore

Takrit Tanasnitikul


 

Average Co-Inventor Count = 5.2

ph-index = 1


Company Filing History:


Years Active: 2021-2025

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4 patents (USPTO):Explore Patents

Title: The Innovations of Takrit Tanasnitikul

Introduction

Takrit Tanasnitikul is a notable inventor based in Singapore, known for his contributions to the field of image processing and machine learning. With a total of 4 patents, he has made significant strides in developing technologies that enhance image processing capabilities.

Latest Patents

Among his latest patents are several innovative devices and methods. One of his patents describes an image processing device that includes a noise adder, which obtains a captured image from an image capturing device. This device features a mask with at least one aperture and an MPH information obtainer that retrieves aperture pattern information. The noise adder adds noise to the captured image based on this information, and a transmitter outputs the noise-added image. Another patent focuses on a projection instruction device that generates a projection image for parcels based on sensing information. This device utilizes a processor and memory to perform weighting on the feature amount of a color image of the parcel, allowing for effective tracking based on the weighted values.

Career Highlights

Takrit has worked with prominent companies such as Panasonic Intellectual Property Management Co., Ltd. and Panasonic Intellectual Property Corporation of America. His experience in these organizations has contributed to his expertise in intellectual property and innovation.

Collaborations

Throughout his career, Takrit has collaborated with talented individuals, including Pongsak Lasang and Takaaki Idera. These collaborations have likely enriched his work and led to further advancements in his projects.

Conclusion

Takrit Tanasnitikul's innovative work in image processing and machine learning showcases his significant contributions to technology. His patents reflect a commitment to advancing the field and improving the efficiency of image processing systems.

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