Display Frame Detection With ROI Content Recognition for Remote Reporting
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Solution Overview
Problem
Existing methods for monitoring machine operation status and detecting frames on display devices require human intervention, lacking automation for frame identification and remote transmission of results.
Innovation Solution
A system comprising a video capturing device and a computing device connected to a display apparatus, which processes video feeds to identify regions of interest and transmit identification results to an external management port, utilizing image recognition and facial recognition algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If human personnel manually monitor display apparatus to determine machine operation status, then identification accuracy is maintained, but productivity decreases and continuous human monitoring is required
Solution Approach 1:
The system enables self-service automation where the display apparatus and video capturing device automatically perform frame detection and identification without human intervention. The computing device processes video feeds, identifies frames containing machine operation status, and transmits results autonomously, replacing manual monitoring with an self-operating system.
Solution Approach 2:
The patent replaces the mechanical human monitoring system with an automated electronic system consisting of video capturing devices, computing devices with image recognition algorithms, and automated transmission mechanisms. This substitution eliminates the need for human personnel to physically observe and interpret display apparatus, achieving automation in frame detection and status identification.
2Extent of automation
If automated frame detection system is implemented, then productivity and automation are improved, but device complexity increases
Solution Approach 1:
The automated system is segmented into distinct functional modules: video capturing devices for acquiring video feeds, computing devices for processing and frame identification, and transmission components for sending results. This segmentation allows each component to perform its specific function independently, managing overall system complexity through modular design while achieving comprehensive automation.
3Measurement precision
If continuous human monitoring is used, then measurement precision of operation status is maintained, but loss of time occurs due to manual intervention
Solution Approach 1:
The system implements continuous automated monitoring where video capturing devices continuously capture video feeds from display apparatus, and computing devices continuously process these feeds to identify frames. This continuous automated operation eliminates interruptions and time losses associated with manual monitoring cycles, maintaining constant surveillance of machine operation status with uninterrupted precision.
Solution Approach 2:
The system performs preliminary processing of video feeds by the computing device, pre-identifying frames containing operation status information before human or further automated analysis is needed. This preliminary action by the automated system prepares identification results in advance, reducing the time required for actual status determination while maintaining accuracy.
Data Source
AI summary
A method for detecting frames is implemented using a system that is connected to a display apparatus and an external management port. The system includes a video capturing device and a computing device. The method includes: obtaining, by the video capturing device, a video feed from the display apparatus, and transmitting the video feed to the computing device; in response to receipt of the video feed, processing, by the computing device, the video feed to obtain a displaying frame; processing, by the computing device, the displaying frame to obtain a region of interest (ROI) within the displaying frame; obtaining, by the computing device, an identification result associated with a content included in the ROI; and transmitting, by the computing device, the identification result to the external management port.