Image-Based Event Recognition for Equipment Object Control
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Solution Overview
Problem
Existing systems lack the ability to efficiently recognize and respond to events involving equipment objects in dynamic environments, such as airports, using camera systems to control and transmit image data for network-based clients.
Innovation Solution
An event recognition system with a camera and controller that recognizes events based on image data, controls equipment objects, and transmits data to network-based clients, utilizing algorithms to determine parameters and execute procedures such as operating, manipulating, or moving equipment objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual identification of equipment object parameters is used, then system complexity is reduced, but productivity and response time deteriorate
Solution Approach 1:
The patent replaces manual identification mechanisms with an automated image processing system. The camera captures images of equipment objects, and the processor automatically extracts parameters (position, size, shape, orientation) from these images, eliminating the need for manual measurement and identification while significantly improving recognition speed and productivity
Solution Approach 2:
The system enables equipment objects to be automatically identified and measured through their own visual features. The image processing algorithm autonomously detects and extracts parameters from captured images without external intervention, allowing the system to self-serve the task of equipment monitoring and event recognition
2Productivity
If automated event recognition system is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The processor serves multiple functions: it processes images from the camera, extracts multiple parameters (position, size, shape, orientation), recognizes events by comparing parameters against stored data, and controls equipment objects. This multi-functionality consolidates what could be separate complex systems into a single integrated unit, improving productivity while managing complexity
Solution Approach 2:
The patent combines the camera, processor, and equipment object control into an integrated system. The processor acts as a central hub that merges image acquisition, parameter extraction, event recognition, and control functions, creating a unified system that achieves high productivity without proportionally increasing overall complexity
3Loss of information
If real-time image data transmission to network-based clients is implemented, then information availability is improved, but loss of time increases
Solution Approach 1:
The processor continuously captures and processes images in real-time, maintaining an up-to-date understanding of equipment object parameters and positions. This preliminary processing ensures that when events occur, the system can immediately recognize and respond to them without time loss, while information is already available to network-based clients
Data Source
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AI summary
Event recognition systems include a camera and a controller. The controller is communicatively connectable to the camera, and includes a processor and logic that, when executed by the processor, causes the event recognition system to perform operations including: recognizing an event involving an equipment object based upon image data captured by the camera, executing an event procedure based upon the event, the event procedure including controlling the equipment object, and transmitting the image data to a network-based client based upon the event.