Image-Based Cycle Period Detection Across Changing Workstations
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Solution Overview
Problem
Existing cyclical event detection technologies lack versatility, requiring multiple detection devices and significant resource allocation for different work stations, leading to high costs when work contents are adjusted.
Innovation Solution
A system utilizing an image monitoring device and period judgment device with modules for feature-vector capturing, spectrum conversion, noise filtration, and event-occurrence period judgment, analyzing monitoring images to detect cyclical events across various work stations without additional resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple different detection devices are introduced to detect different parameters at each work station, then the detection accuracy and reliability of cyclical events is improved, but the device complexity and cost increase significantly
Solution Approach 1:
The patent applies universality by using a single image monitoring device that can detect multiple different parameters (temperatures, pressures, touch counts, touch time, light interruption duration) across all work stations. The image processing device analyzes images from this single device to determine work cycle completion, eliminating the need for multiple specialized detection devices at each station while maintaining comprehensive monitoring capability.
Solution Approach 2:
The patent replaces traditional mechanical detection devices (light-shielding devices, touch detection devices, pressure sensing devices) with an image-based detection system. The image monitoring device captures visual information, and the image processing device processes these images to extract various parameters, substituting a unified optical system for multiple mechanical sensing systems.
2Measurement precision
If a variety of different detection devices are set up according to actual work content of each work station, then the measurement precision of specific parameters is improved, but the adaptability decreases when work contents are adjusted
Solution Approach 1:
The image monitoring device serves as a universal detection tool that can monitor all work stations regardless of their specific work content. When work contents are adjusted, the system maintains adaptability by processing images to extract relevant parameters dynamically, eliminating the need to reconfigure detection devices for different work scenarios.
Solution Approach 2:
The system exhibits dynamics by allowing the image processing device to adaptively analyze images based on changing work contents. The processing algorithms can dynamically determine which parameters to extract from images depending on the current work station requirements, enabling the system to flexibly respond to work content adjustments without physical reconfiguration.
3Productivity
If multiple detection devices are deployed to monitor all work stations, then the productivity of work cycle monitoring is improved, but the loss of energy and resources increases
Solution Approach 1:
The patent merges multiple detection functions into a single image monitoring device and unified image processing system. Instead of deploying separate detection devices at each work station, the system combines all monitoring capabilities into one device that captures images of all stations, with the processing device extracting necessary information centrally, thereby reducing the number of devices and associated energy consumption.
Solution Approach 2:
The single image monitoring device performs the work of multiple specialized detection devices by capturing visual information that can be processed to derive various parameters (temperature, pressure, touch events, light interruption). This universal approach maintains comprehensive monitoring productivity while eliminating the energy waste associated with operating multiple individual detection systems.
Data Source
AI summary
A system for detecting an event occurrence period of cyclical event includes an image monitoring device and a period judgment device. The image monitoring device captures monitoring images respective in image capturing times. The period judgment device extracts feature vectors from the monitoring images to calculate vector values to accordingly generate a vector value time domain signal, executes a short-time Fourier transform (STFT) with a window width time to transform the vector value time domain signal to a spectrogram, makes the spectrogram be denoised to generate a representative frequency time domain signal, and calculates an event-cycle achievement rate and a product term accumulation number after each window width time, so as to accordingly calculate event occurrence time and the event occurrence period.