NETRADYNE, INC. (20240354390). VISUAL LOGIN simplified abstract

VISUAL LOGIN

Organization Name

NETRADYNE, INC.

Inventor(s)

Hisham Rahman of Bengaluru (IN)

Vinay Kumar Rai of Bengaluru (IN)

Venkata Sreekanta Reddy Annapureddy of San Diego CA (US)

Badugu Naveen Chakravarthy of Bangaluru (IN)

Satinder Singh of Bengaluru (IN)

Roshan Mathews of Bengaluru (IN)

Suresh Kumar Yerakaraju of Bengaluru (IN)

Karthik Dumpala of Hyderabad (IN)

Vishal Gupta of Bengaluru (IN)

Ankur Nigam of Bengaluru (IN)

Suresh Babu Yanamala of Bengaluru (IN)

Adam David Kahn of San Diego CA (US)

James Anthony Curtis of Temecula CA (US)

Shravan Kumar Motuti of Hyderabad (IN)

Arun Valiaparambil of Bengaluru (IN)

VISUAL LOGIN - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240354390 titled 'VISUAL LOGIN

Simplified Explanation: The patent application describes systems and methods for intelligent driving monitoring, advanced driver assistance, and autonomous driving systems, with a focus on providing one-click driver image labeling to streamline the assignment of drive time to a driver.

Key Features and Innovation:

• Determining various aspects of the driver and/or passengers, such as driver identifiers, facial coverings, occlusions, facing direction, and recognizability.
• Enhancing the efficacy and ease-of-use of a visual login system through these determinations.

Potential Applications: This technology could be applied in the automotive industry for driver monitoring, safety systems, and autonomous vehicle development.

Problems Solved: This technology addresses the challenges of accurately identifying drivers, especially in scenarios where facial coverings or occlusions may hinder recognition.

Benefits: The benefits of this technology include improved driver monitoring, enhanced safety features, and streamlined driver identification processes.

Commercial Applications: Title: Enhanced Driver Monitoring Technology for Automotive Industry This technology could be utilized by car manufacturers, fleet management companies, and autonomous vehicle developers to improve driver safety and streamline operations.

Prior Art: Prior art related to this technology may include research on facial recognition systems, driver monitoring technologies, and autonomous vehicle advancements.

Frequently Updated Research: Researchers in the fields of computer vision, artificial intelligence, and automotive technology may be conducting studies relevant to the development and implementation of intelligent driving monitoring systems.

Questions about Intelligent Driving Monitoring Systems: 1. How does this technology improve driver identification processes? 2. What are the potential privacy concerns associated with driver image labeling in vehicles?

Original Abstract Submitted

systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing one-click driver image labeling to facilitate the assignment of drive time to a driver. various aspects of the driver and/or passengers may be determined, which may include a driver identifier previously associated with the driver, whether the driver is wearing a facial covering, whether an image of the driver is partially occluded, whether the driver is facing in the direction of the camera, and whether an image of the driver is expected to be easily recognizable to a person tasked with assigning representative driver images to driver identifiers. these determinations may be used to improve the efficacy and ease-of-use of a visual login system.