Aman Goyal

Title: Innovations by Aman Goyal in Traffic Violation Detection

Introduction

Aman Goyal is an innovative inventor based in Ajmer, India. He has made significant contributions to the field of traffic management through his patented technology. His work focuses on utilizing deep learning models to enhance the detection and tracking of traffic violations involving two-wheeler vehicles.

Latest Patents

Aman Goyal holds a patent for a system and method for detecting and tracking a two-wheeler vehicle traffic violation using a deep learning model. This patent outlines a method that provides a way to detect and track traffic violations associated with users through a trapezium-shaped object-based representation. The method includes several steps: detecting the user and vehicle to generate bounding boxes, training the deep learning model with historical data, determining trapezium-based representations, detecting specific traffic violations such as triple-riding and helmet violations, and tracking the vehicle performing the violation.

Career Highlights

Aman Goyal is currently associated with the International Institute of Information Technology in Hyderabad. His role at this prestigious institution allows him to work on cutting-edge research and development projects that aim to improve traffic safety and management.

Collaborations

Aman collaborates with notable colleagues such as Ravi Kiran Sarvadevabhatla and Rohit Saluja. Their combined expertise contributes to the advancement of innovative solutions in the field of traffic management.

Conclusion

Aman Goyal's work exemplifies the intersection of technology and public safety. His innovative approach to detecting traffic violations through deep learning models has the potential to significantly improve road safety for two-wheeler users.