Vehicle Image Collection System with Capture Condition Filtering
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Solution Overview
Problem
Existing image collection systems from vehicles often fail to obtain suitable images of monitoring target objects due to varying image capture conditions, such as distance and resolution, which can hinder effective monitoring of objects like utility poles and mailboxes.
Innovation Solution
An image collection system that includes a captured-image analysis unit to determine if a captured image contains a monitoring target object, an image-capturing-condition recognition unit to identify the capture conditions, and a monitoring-target-object-information providing unit to associate and transmit this information, ensuring that images are captured and transmitted based on specified conditions like distance and resolution, tailored to the type and purpose of the target object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image data is collected from vehicles without filtering by capture conditions, then the quantity of collected images increases, but the quality and usability of the images for monitoring purposes deteriorates
Solution Approach 1:
The system performs preliminary filtering of captured images based on predetermined capture conditions (distance, resolution, angle) before transmission to the server. This preliminary action ensures that only images meeting quality standards are collected and transmitted, maintaining reliability while managing quantity efficiently
Solution Approach 2:
The system applies different quality standards and filtering criteria to images based on their specific characteristics and monitoring requirements. Different capture conditions (distance, resolution, angle) are evaluated separately to determine if each image meets the necessary quality threshold for its intended monitoring purpose
2Loss of information
If all captured images are transmitted to the server, then complete data availability is achieved, but transmission time and network resource consumption increases
Solution Approach 1:
The system extracts and transmits only the essential image data and associated metadata (capture conditions) that are necessary for monitoring purposes, rather than transmitting all raw captured images. This selective extraction reduces transmission time and network resource consumption while maintaining data availability for critical monitoring information
Solution Approach 2:
The system performs preliminary processing and filtering of images before transmission, preparing only those images that meet quality criteria and are relevant to monitoring objectives. This preliminary action reduces the volume of data requiring transmission, thereby reducing transmission time and resource consumption
3Adaptability or versatility
If image capture conditions are not standardized, then flexibility in capturing various objects is maintained, but the precision and consistency of monitoring data deteriorates
Solution Approach 1:
The system establishes standardized parameters for image capture including distance ranges, resolution requirements, and angular constraints. These parameter standards ensure consistent and precise monitoring data while maintaining flexibility through configurable ranges and thresholds that can be adjusted for different monitoring scenarios
Solution Approach 2:
The system creates a universal framework of capture conditions that can be applied across different monitoring scenarios and target objects. The standardized parameters (distance, resolution, angle) serve multiple monitoring purposes while maintaining adaptability through configurable thresholds and criteria that can be tailored to specific monitoring needs
Data Source
AI summary
An image collection system includes: a captured-image analysis unit that determines whether a captured image, captured by a camera mounted on a mobile object, of surroundings of the mobile object is a first captured image including an image portion of a specified monitoring target object; an image-capturing-condition recognition unit that recognizes a first image-capturing condition that is an image-capturing condition at the time when the camera captures the first captured image; and a monitoring-target-object-information providing unit that transmits monitoring-target-object image information in which the first captured image and the first image-capturing condition are associated with each other, to a specified provision destination.