Behavior Detection Platform for Guest Assistance Prediction

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Solution Overview

Problem

Current CCTV systems face challenges in continuously and effectively monitoring video feeds, leading to potential delays in providing assistance to individuals in need, as operators can miss critical events due to the overwhelming amount of information and inefficient resource utilization.

Innovation Solution

Implementing a behavior detection platform that uses machine learning models to analyze video data, determine normal and abnormal guest behaviors, and autonomously provide assistance by predicting and responding to abnormal behaviors in real-time, reducing the need for constant human monitoring and optimizing resource usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If operators manually monitor video feeds in traditional CCTV systems, then they can provide assistance to individuals in need, but they miss critical events due to the overwhelming amount of information and inefficient resource utilization

Engineering Contradiction:

Improvedetection accuracyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces an automated behavior analysis system as an intermediary between the video feeds and human operators. This system processes video data, detects abnormal behaviors, and generates alerts, thereby filtering the overwhelming information and enabling operators to focus on critical events only

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the manual mechanical monitoring process with an automated computer-based analysis system that uses algorithms to detect behaviors, substituting human operators' direct observation with automated detection mechanisms

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If operators continuously monitor all video feeds, then they can detect abnormal behaviors, but resource utilization becomes inefficient due to the overwhelming amount of information

Engineering Contradiction:

Improvedetection accuracyVSAvoidresource utilization

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent extracts only the critical information (abnormal behaviors) from the overwhelming video feeds by using automated detection algorithms to identify and isolate significant events, discarding normal routine activities

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs preliminary automated analysis of video feeds before presenting information to operators, pre-processing the data to identify potential issues and prepare targeted alerts, thereby improving operator efficiency

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20230419729A1Predicting need for guest assistance by determining guest behavior based on machine learning model analysis of video data

Publication Date: 2023.12.28 DISNEY ENTERPRISES INC

AI summary

A behavior detection platform may obtain video data of an environment including a guest and may determine a set of normal guest behaviors associated with the environment. The platform may analyze, using a first machine learning model, the video data to identify features of the guest and analyze, using a second machine learning model, the video data and the features to determine an actual guest behavior of the guest. The platform may predict, using the second machine learning model, a predicted guest behavior of the guest based on the actual guest behavior. The behavior detection platform may determine that at least one of the actual guest behavior or the predicted guest behavior is not included in the set of normal guest behaviors. The platform may cause assistance to be provided to the guest based on determining that the actual guest behavior or the predicted guest behavior are not included.