Mobile Device Offline Online Synchronous Image Recognition
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Solution Overview
Problem
Current image recognition technologies face limitations in achieving fast and accurate identification, with offline recognition providing quick but inaccurate results due to limited data capacity, and online recognition offering accurate but time-consuming results due to network dependencies.
Innovation Solution
A mobile device capable of synchronous offline and online image recognition, where it performs local recognition and sends frames to a server for simultaneous online recognition, displaying results based on accuracy thresholds, ensuring fast and accurate identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If offline recognition is used on mobile device, then recognition speed is fast, but recognition accuracy is low
Solution Approach 1:
The patent combines offline recognition (performed locally on the mobile device) and online recognition (performed on the server) into a unified system. The mobile device first performs offline recognition to quickly obtain initial results, then sends images to the server for online recognition. The system merges both recognition results, using the offline result as a quick reference and the online result for higher accuracy, thereby resolving the contradiction between speed and accuracy.
2Measurement precision
If online recognition is used on server, then recognition accuracy is high, but recognition time is long
Solution Approach 1:
The system performs preliminary offline recognition on the mobile device before sending images to the server. This preliminary action provides immediate recognition results to the user while the more accurate but time-consuming online recognition is being performed in the background. The offline recognition serves as a preliminary step that delivers fast results, reducing the perceived waiting time for users.
Solution Approach 2:
The system maintains continuous useful action by performing offline recognition immediately and simultaneously initiating online recognition in parallel. Instead of waiting for online recognition to complete before providing any results, the system continuously provides value through offline results while the online process continues, maximizing the utilization of both recognition pathways.
3Productivity
If offline device is used for recognition, then recognition operation is fast, but data quantity is limited
Solution Approach 1:
The mobile device acts as an intermediary that bridges the offline and online recognition systems. It performs local offline recognition using limited local data, then transmits images to the server which has access to much larger databases. The intermediary role allows the system to leverage both the speed of offline processing and the vast data capacity of the online server, overcoming the data quantity limitation of standalone offline devices.
Data Source
AI summary
A mobile device capable of offline and online synchronous image identifying is disclosed. The mobile device includes an image capturing unit, a processor, and a display monitor. The image capturing unit retrieves frames of a recognition target. The processor determines whether the mobile device is operatively connected to Internet. Also, the processor sends the frames to a recognition server via the Internet, and performs offline image recognition to the frames and displays the result of the offline image recognition on the display monitor when the mobile device is connected to the Internet, and receives a result of an online image recognition performed synchronously to the frames by the recognition server and displays the result of the online image recognition on the display monitor when the result of the online image recognition has a recognition value higher than a recognition value of the result of the offline image recognition.