This inventor holds 1 USPTO granted patent. Top assignee: Amgen Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Aman Mahendra Jain in Image Augmentation Techniques
Introduction
Aman Mahendra Jain is an accomplished inventor based in Newbury Park, CA (US). He has made significant contributions to the field of automated visual inspection through his innovative patent. His work focuses on enhancing image processing techniques that are crucial for various applications in quality control and machine learning.
Latest Patents
Aman holds a patent titled "Image augmentation techniques for automated visual inspection." This patent introduces various techniques that facilitate the development of an image library used to train and validate automated visual inspection (AVI) models, such as AVI neural networks for image classification. One notable aspect of his invention is the arithmetic transposition algorithm, which generates synthetic images from original images by transposing features, such as defects, onto the original images with pixel-level realism. Additionally, digital inpainting techniques are employed to create realistic synthetic images, allowing for the addition, removal, or modification of defects or other depicted features. Quality control techniques are also integrated to assess the suitability of image libraries for training AVI models.
Career Highlights
Aman is currently associated with Amgen Inc., a leading biotechnology company. His role involves leveraging his expertise in image processing to enhance the capabilities of automated visual inspection systems. His innovative approach has positioned him as a valuable asset in the field of technology and quality assurance.
Collaborations
Aman collaborates with talented individuals such as Jordan Ray Fine and Aik Jun Tan. Their combined efforts contribute to the advancement of technologies that improve automated visual inspection processes.
Conclusion
Aman Mahendra Jain's contributions to image augmentation techniques represent a significant advancement in automated visual inspection. His innovative patent and collaborative efforts continue to influence the field positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
