This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Cdk Global LLC. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Salil Gandhi - Innovator in Vehicle Damage Detection
Introduction
Salil Gandhi is a notable inventor based in Pune, India. He has made significant contributions to the field of machine learning, particularly in the automotive sector. His innovative work focuses on improving vehicle damage detection and repair cost estimation.
Latest Patents
Salil Gandhi holds a patent for "Systems and methods for using machine learning for vehicle damage detection and repair cost estimation." This patent describes systems and methods for estimating the repair cost of vehicle damage depicted in digital images. The process begins with a damage detection neural network model that identifies the location, type, intensity, and corresponding repair parts for the damage. Following this, a repair cost estimation neural network model uses the damage type, intensity, and necessary repair parts to provide an accurate repair cost estimation. The training methods for both neural network models are also detailed in the patent.
Career Highlights
Salil Gandhi is currently employed at Cdk Global LLC, where he continues to develop innovative solutions in the automotive industry. His work has the potential to revolutionize how vehicle damage is assessed and repaired, making the process more efficient and accurate.
Collaborations
Salil has collaborated with talented coworkers, including Jitendra Choudhary and Saurabh Kshirsagar, who contribute to the innovative environment at Cdk Global LLC.
Conclusion
Salil Gandhi's contributions to machine learning and vehicle damage detection exemplify the impact of innovation in the automotive industry. His patent reflects a significant advancement in estimating repair costs, showcasing the potential of technology to enhance traditional processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
