US Patent Application 17965701. PROPERTY LOSS PREVENTION simplified abstract

PROPERTY LOSS PREVENTION

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Simon P. Roberts of Celina TX (US)

Sergei I. Gage of Dallas TX (US)

Yang Ding of Montreal CA (US)

Christopher J. Macpherson of Plano TX (US)

Michael R. Kushnerik of The Colony TX (US)

Naohiro J. Matsumura of Dallas TX (US)

Cory M. Frank of Frisco TX (US)

Jessica May of Danbury TX (US)

Matthew J. Everett of Norton Shores MI (US)

PROPERTY LOSS PREVENTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17965701 titled 'PROPERTY LOSS PREVENTION

Simplified Explanation

The patent application describes a method for determining occupants and objects in a vehicle and notifying the occupants when certain conditions are met. Here are the key points:

• The method involves identifying both the occupants and objects present in a vehicle.
• The type of each object is determined, which could be useful for categorizing different items in the vehicle.
• Timestamps are associated with both the occupants and objects, indicating when they were detected or identified.
• If the timestamps of an occupant and an object overlap, it means they were present in the vehicle at the same time.
• When this overlap occurs, a device associated with the occupant is notified.
• The notification is triggered when a certain value, referred to as a threshold, is exceeded.
• The purpose of the notification is not specified in the abstract, but it could be used for various purposes such as safety alerts or personalized recommendations.

Original Abstract Submitted

An example operation includes one or more of determining an occupant and an object in a vehicle, determining a type of the object, determining a first timestamp associated with the occupant and a second timestamp associated with the object, and responsive to the timestamps overlapping, notifying a device associated with the occupant when the value is greater than a threshold.