18628571. ARTIFICIAL INTELLIGENCE-ENABLED ALARM FOR DETECTING PASSENGERS LOCKED IN VEHICLE simplified abstract (Micron Technology, Inc.)

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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 18628571 titled 'ARTIFICIAL INTELLIGENCE-ENABLED ALARM FOR DETECTING PASSENGERS LOCKED IN VEHICLE

Simplified Explanation: The patent application focuses on detecting persons or animals trapped in vehicles and providing automated assistance. It involves using cameras to capture images of the vehicle's interior, classifying the images using machine learning, and activating vehicle subsystems if a person or animal is detected.

Key Features and Innovation:

  • Detection of persons or animals trapped in vehicles
  • Utilization of cameras and machine learning for image classification
  • Automated assistance provided to individuals in distress

Potential Applications: This technology can be used in:

  • Automotive industry for enhancing safety features
  • Emergency response systems for quick assistance
  • Pet safety monitoring in vehicles

Problems Solved:

  • Addressing the issue of individuals being trapped in vehicles
  • Providing timely assistance in emergency situations
  • Enhancing overall safety and security measures

Benefits:

  • Improved safety for occupants of vehicles
  • Quick detection and response to distress situations
  • Potential to save lives in critical scenarios

Commercial Applications: This technology could have commercial applications in:

  • Automotive manufacturing for integrating advanced safety features
  • Emergency response services for efficient rescue operations
  • Pet care industry for ensuring animal safety during transportation

Questions about Vehicle Trapped Detection: 1. How does the technology differentiate between a person and an animal trapped in a vehicle? 2. What measures are in place to ensure the accuracy and reliability of the automated assistance provided?

Frequently Updated Research: Stay updated on advancements in machine learning algorithms for improved image classification in vehicle safety systems.


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.