This inventor holds 2 USPTO granted patents. Top assignee: Ford Global Technolgoies, LLC. Active years: 2024-2025.
Company Filing History:
Years Active: 2024-2025
Title: Tanveer Shaik: Innovator in Image Augmentation and Defect Monitoring
Introduction
Tanveer Shaik is a notable inventor based in Farmington Hills, MI (US). He has made significant contributions to the fields of image processing and quality monitoring systems. With a total of 2 patents, his work focuses on enhancing machine learning models and improving manufacturing processes.
Latest Patents
Tanveer's latest patents include a method and system to augment images and labels to be compatible with various machine learning models. This method involves obtaining an authentic image of an assembly and a boundary label associated with a selected region of the image. The process generates an augmented image based on the authentic image and an augmentation model, ultimately outputting augmented image data that includes both the augmented image and the boundary label.
Another significant patent is related to stamping line defect quality monitoring systems and methods. This method inspects stamped blanks on a stamping line by identifying target defect locations and acquiring images of these locations. The analysis of these images allows for the detection of unique defect types, enhancing the quality control process in manufacturing.
Career Highlights
Tanveer Shaik is currently employed at Ford Global Technologies, LLC, where he applies his expertise in image processing and defect monitoring. His innovative approaches have contributed to advancements in the automotive industry, particularly in quality assurance and machine learning applications.
Collaborations
Tanveer collaborates with talented coworkers, including Raj Sohmshetty and Surya Gandikota. Their combined efforts foster a creative environment that drives innovation and enhances project outcomes.
Conclusion
Tanveer Shaik's contributions to image augmentation and defect monitoring exemplify the impact of innovation in technology and manufacturing. His work not only advances machine learning applications but also improves quality control processes in the automotive sector.