Camera Remuneration Based on Video Image Data Quality
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Solution Overview
Problem
Existing systems for processing traffic state video image data face challenges in improving the environment for processing, as they charge uniformly for access points regardless of the quality or desirability of the data, leading to inefficient resource allocation.
Innovation Solution
An information processing apparatus and system that includes camera video image acquisition means and remuneration determination means to assess and pay for video image data based on the camera's features, such as installation location and performance, to prioritize the acquisition of high-quality data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a uniform price is paid to all access points in accordance with the number of connections or the amount of connection time, then the system is simple to operate and manage, but the quality and desirability of the video image data acquired cannot be improved
Solution Approach 1:
The patent applies local quality by determining remuneration based on the specific features of each camera (installation location, camera type, shooting angle) rather than applying a uniform price to all access points. This allows the system to differentiate and reward cameras that provide higher quality video image data for traffic state analysis, thereby improving data quality while maintaining operational simplicity through automated feature-based assessment
Solution Approach 2:
The patent changes the pricing parameters from uniform connection-based pricing to feature-based pricing. The remuneration determination unit evaluates multiple parameters including installation location, camera type, and shooting angle to determine appropriate remuneration. This parameter change enables the system to promote acquisition of desired video image data by aligning payment with data quality characteristics
2Manufacturing precision
If remuneration is determined based on camera features such as installation location and performance, then the quality of video image data is improved, but the complexity of the remuneration determination system increases
Solution Approach 1:
The patent applies self-service by having the remuneration determination unit automatically evaluate camera features and determine remuneration without manual intervention. The system autonomously assesses installation location, camera type, and shooting angle, and calculates appropriate payment. This automation reduces the practical complexity burden on operators while maintaining the sophisticated feature-based pricing structure needed for high data quality
Solution Approach 2:
The patent implements feedback by having the remuneration determination unit continuously evaluate camera performance and features, then adjust remuneration accordingly. This feedback mechanism ensures that cameras providing higher quality video image data receive appropriate compensation, creating a self-regulating system that maintains data quality without requiring complex manual management
Data Source
AI summary
The present disclosure provides an information processing apparatus, an information processing system, an information processing method, and a program that are capable of promoting the improvement of an environment for performing processing using desired video image data about a traffic state. The information processing apparatus (1) includes: a camera video image acquisition unit (2) configured to acquire video image data from a camera configured to shoot a traffic state; and a remuneration determination unit (3) configured to determine a remuneration for provision of an environment for the camera video image acquisition unit (2) to acquire the video image data based on a feature of the camera.