Processing Device Objectization Time Prediction
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Solution Overview
Problem
The existing method for objectizing image data from scanned documents is inefficient due to increased network load, leading to prolonged processing times, especially when high-resolution images are processed, causing users to wait excessively for the data to be written to a storage medium.
Innovation Solution
A processing device with a device information acquirer, objectization processor, time predictor, device selector, and data manager is employed to determine the optimal processing device between local and remote servers based on predicted processing times, ensuring data is acquired within a short period by selecting the most efficient device for the objectization process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If image data is transmitted to a remote server through a network for objectization processing, then processing capability is improved, but network load increases and transmission time becomes excessive
Solution Approach 1:
The system performs preliminary prediction of processing completion times for both local and remote devices before actually transmitting image data. This allows the system to pre-determine the optimal processing device, avoiding unnecessary data transmission and reducing transmission time while ensuring the selected device can handle the processing load efficiently.
Solution Approach 2:
The system creates a virtual model or copy of the processing capability by predicting completion times based on device information and image attributes without actually performing the full processing. This prediction model allows comparison of different processing devices (local vs remote) to select the optimal one, resolving the contradiction between utilizing remote processing power and avoiding excessive transmission time.
2Power
If the objectization process is performed by a remote server, then processing capability is improved, but user wait time increases
Solution Approach 1:
The system establishes a feedback mechanism that continuously monitors device information, image attributes, and predicted processing times. Based on this feedback, the system dynamically selects the processing device that will minimize user wait time while utilizing appropriate processing capability, thereby resolving the contradiction between remote processing power and user waiting experience.
Solution Approach 2:
The system dynamically adjusts the selection between local and remote processing devices based on real-time conditions such as device availability, processing load, and image characteristics. This dynamic selection ensures that the system always chooses the optimal processing path, balancing remote processing capability with minimized user wait time under varying operational conditions.
3Manufacturing precision
If high-resolution image data is processed, then objectization quality is improved, but network load increases and processing time extends
Solution Approach 1:
The system changes the parameter of device selection based on image attributes including resolution. By analyzing image parameters such as size, resolution, and format, the system predicts processing times and selects the appropriate device (local or remote) that can handle high-resolution data efficiently. This parameter-based selection resolves the contradiction by matching image complexity with appropriate processing resources.
Data Source
AI summary
A considerable amount of time was required for the completion of an objectization process on image data. A time predictor in a processing device predicts the time required for each of a local processing device and remote processing devices to convert image data to objectized data. A device selector selects, based on the predicted time, the local processing device or one of the remote processing devices as a processing device that acquires the objectized data derived from the image data within a short period of time, and instructs the selected processing device to perform the objectization process. A data manager manages the image data that is to be transmitted from a data transceiver to the selected processing device, and the objectized data that is to be received by the data transceiver from the selected processing device.