Image-Based Equipment Event Recognition for Real-Time Control
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Solution Overview
Problem
Existing systems lack an efficient method to recognize events involving equipment objects using camera systems and control them based on image data, particularly in dynamic environments like airports, where precise monitoring and operation of equipment are crucial.
Innovation Solution
An event recognition system comprising a camera and a controller that captures image data, processes it to recognize events, and executes procedures such as controlling equipment objects by comparing parameters from the image data with reference data, and transmitting this information to network-based clients for real-time monitoring and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera systems are used to monitor equipment objects in real-time, then monitoring capability and safety are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex monitoring task by separating image capture (camera) from event recognition (controller with logic), allowing each component to specialize in its function while reducing overall system complexity
Solution Approach 2:
The controller acts as an intermediary between the camera system and the equipment objects, processing image data and translating it into actionable control commands, thereby simplifying the interaction between monitoring and control functions
2Measurement precision
If multiple parameters are compared for event recognition, then measurement precision is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-defining event procedures and control logic before runtime, allowing the controller to quickly match observed parameters against predefined patterns rather than performing complex analysis in real-time
Solution Approach 2:
The system changes parameters by comparing multiple physical quantities (position, velocity, acceleration) simultaneously, using parameter transformation to convert raw sensor data into meaningful event indicators that can be rapidly evaluated
3Productivity
If real-time control of equipment objects is implemented, then operational efficiency is improved, but system reliability requirements and complexity increase
Solution Approach 1:
The system implements feedback by continuously monitoring equipment parameters through cameras and sensors, comparing them against expected values, and automatically adjusting control commands to maintain desired operation while handling exceptions
Solution Approach 2:
The system provides self-service through automated event recognition and control execution, where the controller independently processes image data, identifies events, and implements control actions without requiring constant human intervention or oversight
Data Source
AI summary
An event recognition system includes one or more processing circuits including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to: execute an algorithm that receives image data as an input and recognizes a first equipment object and a second equipment object in the image data; recognize an event involving the first equipment object and the second equipment object based upon the image data containing the recognized first equipment object and the recognized second equipment object; and execute an event procedure based upon the event where the event procedure includes controlling the first equipment object.