This inventor holds 1 USPTO granted patent. Top assignee: Geotab Incorporated. 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: Mohammed Sohail Siddique and Vehicle Safety Innovation.
Introduction
Mohammed Sohail Siddique is an inventor based in Milton, California. His patent work addresses vehicle safety by developing methods to identify tailgating through vehicle-following-distance analysis.
Latest Patents
Siddique is associated with 1 patent, titled “Methods for Creating Training Data for Determining Vehicle Following Distance.” The invention describes generating simulated training images in a virtual environment, depicting vehicles following one another under varied conditions. These images are used to train models to estimate the distance between vehicles. The trained models can help detect tailgating and support driver warnings or reports on driving behavior.
Career Highlights
Siddique works at Geotab Incorporated. His patent reflects an application of simulated data and machine-learning models to vehicle positioning and driver-safety monitoring.
Collaborations
His listed coworkers include Joy Mazumder and Shashank Saurav.
Conclusion
Mohammed Sohail Siddique’s patent focuses on using simulated training data and trained models to identify tailgating and support safer driving.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile