Micron technology, inc. (20240246547). ARTIFICIAL INTELLIGENCE-ENABLED ALARM FOR DETECTING PASSENGERS LOCKED IN VEHICLE simplified abstract

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ARTIFICIAL INTELLIGENCE-ENABLED ALARM FOR DETECTING PASSENGERS LOCKED IN VEHICLE

Organization Name

micron technology, inc.

Inventor(s)

Gil Golov of Backnang (DE)

ARTIFICIAL INTELLIGENCE-ENABLED ALARM FOR DETECTING PASSENGERS LOCKED IN VEHICLE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240246547 titled 'ARTIFICIAL INTELLIGENCE-ENABLED ALARM FOR DETECTING PASSENGERS LOCKED IN VEHICLE

The disclosed embodiments focus on detecting persons or animals trapped in vehicles and providing automated assistance to them. In one embodiment, the method involves detecting a stopped vehicle, activating cameras to record images of the vehicle's interior, classifying the images using a machine learning model, and operating vehicle subsystems if a person or animal is detected in the images.

  • Detection of persons or animals trapped in vehicles
  • Automated assistance provided to trapped individuals
  • Method involves detecting stopped vehicles and recording interior images
  • Images classified using a machine learning model
  • Vehicle subsystems operated in response to detecting trapped individuals

Potential Applications: - Automotive safety systems - Emergency response systems - Animal welfare applications

Problems Solved: - Efficient detection of trapped individuals in vehicles - Timely automated assistance provided to those in need

Benefits: - Enhanced safety for occupants of vehicles - Quick response to emergency situations - Improved animal welfare in vehicles

Commercial Applications: Title: Automated Vehicle Occupant Detection System This technology can be utilized in the automotive industry to enhance safety features in vehicles, potentially leading to increased market demand for vehicles equipped with such systems.

Questions about the technology: 1. How does the machine learning model classify the images of the vehicle's interior? 2. What are the potential limitations of this automated assistance system in detecting trapped individuals?


Original Abstract Submitted

the disclosed embodiments are directed to detecting persons or animals trapped in vehicles and providing automated assistance to such persons or animals. in one embodiment a method is disclosed comprising detecting that a vehicle is stopped; activating at least one camera and recording at least one image of an interior of the vehicle using the at least one camera; classifying the at least one image using a machine learning model; and operating at least one subsystem of the vehicle in response to detecting that classifying indicates that a person or animal is present in the at least one image.