Mobile Terminal Image Capture with Stability Filtering
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Solution Overview
Problem
Conventional mobile terminal image recognition systems either require excessive network resource usage by continuous image transmission or add complexity with manual user intervention, failing to efficiently identify relevant information without user action.
Innovation Solution
A mobile terminal system that automatically captures and stabilizes images using a camera, determines contour values, and transmits only stable images meeting predefined conditions to a remote server for information retrieval, eliminating the need for manual interaction and reducing network burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the mobile terminal sends images of the object continuously to the remote server, then the user convenience is improved, but the network resource usage increases and the server burden increases
Solution Approach 1:
The system captures more images than strictly necessary (continuous capture during movement and after stopping), but only transmits a subset that meets stability criteria. This partial transmission approach balances user convenience with network efficiency, avoiding both excessive transmission and insufficient capture.
Solution Approach 2:
The mobile terminal performs preliminary image capture and stability analysis before transmission. By pre-processing images locally to determine stability and relevance, the system reduces the quantity of images needing transmission while ensuring quality images are captured, thus improving user convenience without excessive network usage.
2Quantity of substance
If the user manually triggers the sending of a request to the remote server, then the network data transmission volume is reduced, but the operation complexity increases
Solution Approach 1:
The system automatically determines when to capture images, assess their stability, and initiate transmission without user intervention. The mobile terminal serves itself by autonomously managing the entire workflow from capture to transmission decisions, reducing both user effort and operation complexity while maintaining efficient network usage.
Solution Approach 2:
The system dynamically adjusts its behavior based on real-time conditions, transitioning from continuous capture during movement to selective capture and transmission when stationary. This dynamic adaptation allows the system to reduce network transmission volume automatically without requiring manual user control, simplifying operation while optimizing resource usage.
3Reliability
If the mobile terminal transmits all captured images, then the image quality is ensured, but the network resource efficiency decreases
Solution Approach 1:
The system applies different quality standards to different images based on their stability characteristics. Stable images meeting predefined criteria are transmitted with full quality, while unstable or redundant images are discarded. This local quality approach ensures reliable transmission of valuable images while conserving network resources on less important data.
Solution Approach 2:
The system changes the transmission parameter (image selection) based on stability analysis results. By evaluating images against stability criteria and selectively transmitting only those that meet thresholds, the system maintains image quality reliability for transmitted images while significantly improving network resource efficiency through reduced transmission volume.
4Quantity of substance
If the mobile terminal requires manual user interaction to capture images, then the network data transmission is optimized, but the automation level decreases
Solution Approach 1:
The mobile terminal autonomously performs image capture, stability analysis, and transmission decision-making without user intervention. The system serves itself by automatically managing the complete workflow, achieving high automation levels while optimizing network transmission volume through intelligent image selection based on stability criteria.
Solution Approach 2:
The system uses feedback from stability analysis of captured images to automatically control subsequent capture and transmission actions. By continuously monitoring image stability and using this feedback to determine transmission timing and selection, the system achieves high automation while optimizing network resource usage, eliminating the need for manual user interaction.
Data Source
AI summary
A method for identifying relevant information of an object using a mobile terminal that has a built-in camera, a processor, and memory for storing programs to be executed by the processor is provided. The method includes automatically generating a plurality of image frames while the built-in camera pointing at the object; automatically transmitting one or more of the plurality of image frames to a remote server, wherein different transmitted image frames satisfy distinct predefined conditions; receiving information from the server when at least one of the transmitted image frames matches an image stored at the server, wherein the image corresponds to the object and is associated with information relevant to the object; and displaying the information relevant to the object at the mobile terminal.