Abnormal Behavior Notification Device for Timely Alerts

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Solution Overview

Problem

Existing systems fail to provide timely alerts for abnormal behaviors of targeted individuals or vehicles, such as vehicle theft or unusual activities of elderly or care-requiring persons, as they do not specifically monitor and notify users of deviations from normal patterns.

Innovation Solution

An abnormal behavior notification device and system that registers identification information for detection targets, determines their presence and behavior in images captured by mobile bodies, and transmits alerts when abnormal behavior is detected, using a combination of image analysis and user input to define normal behavior patterns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional traffic violation detection systems are used to capture images of vehicles, then images of traffic violation vehicles can be provided to clients, but timely alerts for abnormal behaviors such as vehicle theft or unusual activities of elderly persons cannot be notified

Engineering Contradiction:
Improvetimely notification of abnormal behaviorVSAvoidapplication scope beyond traffic violations
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The image recognition system is designed to handle multiple types of detection targets beyond just vehicles. The server can register and process identification information for various objects including vehicles, elderly persons, and other targets, enabling the same system to serve multiple purposes such as traffic monitoring, theft detection, and personal safety monitoring simultaneously

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Measurement precision

If image capture systems are deployed to monitor detection targets, then behavior can be recorded, but the system cannot distinguish between normal and abnormal behavior patterns

Engineering Contradiction:
Improvebehavior pattern recognition accuracyVSAvoidbehavior analysis complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary registration of identification information and normal behavior patterns for each detection target before actual monitoring begins. The server stores baseline data about what constitutes normal behavior for each registered target, enabling later comparison to detect abnormalities without requiring complex real-time analysis of behavior definitions

Inventive Principle:
Principle #10Preliminary action

3Reliability

If comprehensive monitoring of detection targets is implemented, then abnormal behavior can be detected, but the system cannot provide timely alerts to users

Engineering Contradiction:
Improveabnormal behavior detection accuracyVSAvoidalert transmission delay
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system implements a feedback mechanism where the server continuously compares current image recognition results against registered normal behavior patterns, and immediately transmits alerts to terminal devices when abnormalities are detected. This closed-loop feedback system ensures timely notification by automatically triggering alert transmission as soon as abnormal behavior is identified, eliminating manual intervention delays

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11610469B2Abnormal behavior notification device, abnormal behavior notification system, abnormal behavior notification method, and recording medium
Publication Date: 2023.03.21 TOYOTA JIDOSHA KK
  • US11610469B2 patent drawing
  • US11610469B2 patent drawing
  • US11610469B2 patent drawing

AI summary

A server includes: a registration unit that registers identification information for identifying a detection target in a storage unit; a detection target determination unit that determines whether the detection target is shown in an image captured on or around a road, based on the identification information; an abnormal behavior determination unit that determines whether the detection target exhibits an abnormal behavior that is different from a normal behavior of the detection target, when the detection target is shown in the image; and an alert transmission unit that transmits an alert when the detection target exhibits the abnormal behavior.