Mobile Image Capture for Preselected Road Segments
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Solution Overview
Problem
Users often forget to capture important scenery during vehicle travel due to missed timing or uncertainty about the worthiness of capturing certain spots, leading to suboptimal video recording experiences.
Innovation Solution
A method and device for capturing images that utilize a mobile terminal to determine to-be-captured road segments with capturing objects, configure appropriate parameters, and perform image acquisition based on these segments, including features and historical data from a server, ensuring timely and high-quality image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually capture videos during vehicle travel, then capturing flexibility is maintained, but user forgetfulness and missed timing occur
Solution Approach 1:
The system pre-determines to-be-captured road segments and configuring capturing parameters before the user actually needs to capture. The mobile terminal automatically identifies road segments containing capturing objects and pre-configures appropriate capturing parameters, so that when the user arrives at the location, capturing can immediately begin without forgetting or delay.
Solution Approach 2:
The system enables self-service capturing by automatically determining which road segments contain capturing objects and selecting appropriate capturing parameters without requiring continuous user intervention. The mobile terminal autonomously identifies capturing opportunities and configures parameters, freeing the user from manual operation while maintaining capturing reliability.
2Reliability
If automatic capturing is implemented, then user forgetfulness is reduced, but system complexity increases
Solution Approach 1:
The mobile terminal performs multiple functions: it serves as both the capturing device and the system for determining to-be-captured road segments and configuring parameters. By consolidating these functions into a single device, the system achieves automatic capturing without requiring additional complex external systems, thus reducing overall system complexity while maintaining reliability.
Solution Approach 2:
The system introduces a server as an intermediary that stores road segment information and capturing parameters. The mobile terminal queries the server to obtain pre-determined to-be-captured road segments and their associated parameters, distributing the computational complexity to the server rather than requiring the mobile terminal to independently analyze all capturing decisions, thereby managing system complexity effectively.
3Manufacturing precision
If capturing parameters are manually configured, then capturing quality can be controlled, but user operation burden increases
Solution Approach 1:
Capturing parameters are pre-configured and stored on the server associated with specific road segments and capturing objects. Before the user reaches the capturing location, the system has already determined the optimal parameters, so the mobile terminal can automatically apply them without requiring the user to manually adjust settings, thus maintaining capturing quality while improving operation convenience.
Solution Approach 2:
The system enables self-service parameter configuration by automatically selecting and applying appropriate capturing parameters based on the identified road segment and capturing object. The mobile terminal autonomously retrieves and configures parameters without user intervention, ensuring optimal capturing quality while eliminating the operational burden of manual parameter adjustment.
4Measurement precision
If comprehensive road segment analysis is performed, then capturing accuracy improves, but processing time increases
Solution Approach 1:
Road segment analysis and identifying capturing objects are performed in advance and the results are stored on the server. When the user queries the system, the analysis is already complete, so the mobile terminal can immediately retrieve pre-determined to-be-captured road segments without performing time-consuming analysis in real-time, thus maintaining capturing accuracy while minimizing processing time.
Data Source
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AI summary
The disclosure relates to a method and device for capturing an image, a storage medium, and a computer program product. The method includes: determining (S101), from a map interface displayed by a mobile terminal, at least one to-be-captured road segment, where each to-be-captured road segment includes at least one capturing object; and performing (S102) image acquisition in a case where the mobile terminal travels to a target road segment in the at least one to-be-captured road segment.