Jhawarian, Pakistan

Muhammad Faisal

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 52(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Innovations of Muhammad Faisal in Distracted Driving Detection

Introduction

Muhammad Faisal is an innovative inventor based in Jhawarian, Pakistan. He has made significant contributions to the field of technology, particularly in the area of distracted driving detection. With a total of three patents to his name, Faisal is recognized for his cutting-edge work that aims to enhance road safety.

Latest Patents

One of Muhammad Faisal's latest patents is focused on a multi-task training process for detecting distracted driving. This patent discloses a multi-task training technique and the resulting model designed to identify instances of distracted driving. The method involves inputting a variety of labeled examples into a multi-task network, which includes a backbone network that generates feature vectors corresponding to each labeled example. The process minimizes a joint loss based on the outputs of multiple prediction heads, leading to adjustments in the backbone network's parameters. Ultimately, a distraction classification model is stored, which comprises the parameters of both the backbone network and at least one of the prediction heads.

Career Highlights

Muhammad Faisal is currently employed at Motive Technologies, Inc., where he continues to develop innovative solutions in technology. His work is characterized by a commitment to improving safety and efficiency in driving through advanced detection methods.

Collaborations

Faisal collaborates with talented coworkers, including Ali Hassan and Ijaz Akhter, who contribute to his projects and enhance the overall innovation process.

Conclusion

Muhammad Faisal's contributions to distracted driving detection exemplify the impact of innovative thinking in technology. His patents reflect a dedication to creating safer driving environments through advanced methodologies.

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