Amusement Park Interactive Guidance Through Behavior Thresholds
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Solution Overview
Problem
Existing amusement park monitoring systems struggle to detect and respond to detrimental activities and behaviors without interfering with other guests' enjoyment, complicating the monitoring process for park personnel.
Innovation Solution
An amusement park monitoring system utilizing sensor devices to acquire data, process it with a processor, and compare activities to behavior models to initiate actions when threshold values are exceeded, thereby limiting interference with other guests' experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If security cameras and personnel monitoring are deployed throughout the amusement park to detect detrimental activities, then detection capability is improved, but interference with guests' enjoyment and system complexity increases
Solution Approach 1:
The patent replaces manual monitoring by security personnel with an automated computer vision system using cameras and machine learning algorithms. The system automatically detects, classifies, and responds to guest behaviors through software processing rather than human observation, reducing operational complexity while maintaining or improving detection accuracy.
Solution Approach 2:
The monitoring system performs self-service by automatically detecting behaviors, classifying them against predefined policies, and initiating appropriate responses without requiring constant human intervention. The system autonomously manages the monitoring process, from data collection to response execution, reducing the burden on park personnel.
2Reliability
If personnel are dispatched to resolve issues immediately when detected, then response effectiveness is improved, but interference with other guests' enjoyment increases
Solution Approach 1:
The system applies localized responses targeted specifically at the individuals exhibiting problematic behaviors rather than blanket interventions affecting all guests. Notifications are sent only to specific mobile devices associated with offending guests, and warnings are directed solely at those individuals, preserving the experience for compliant guests while addressing problematic behaviors.
Solution Approach 2:
The system uses mobile device notifications as an intermediary mechanism to communicate with and correct guest behaviors remotely. Instead of immediate physical intervention by personnel, the system mediates through digital communications, allowing guests to self-correct their behaviors without direct confrontation or disruption to surrounding guests.
3Measurement precision
If comprehensive behavior monitoring is implemented across all attractions, then behavior detection accuracy is improved, but data processing requirements and system complexity increase
Solution Approach 1:
The monitoring system is divided into separate functional modules: camera units for data collection, processing units for analyzing specific attraction zones, and a central system for policy enforcement. Each segment handles specific tasks independently, processing data locally before consolidating results, which reduces the computational burden on any single component while maintaining comprehensive monitoring coverage.
Data Source
AI summary
An amusement park monitoring system may include a plurality of sensor devices configured to acquire data related to one or more individuals within an amusement park and a memory storing instructions that, when executed, cause a processor to process the data from the plurality of sensor devices. The instructions further cause the processor to identify an activity performed by the one or more individuals based on the data and compare the activity to a behavior model. The behavior model may be indicative of one or more behavior threshold values associated with one or more amusement park attractions. The processor may then determine that the activity exceeds a behavior threshold value of the one or more behavior threshold values and initiate an action in response to the activity exceeding the behavior threshold value.