Centralized Multi-Camera Streams With Dead Camera Filtering
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Solution Overview
Problem
Entities face challenges in accessing and integrating image streams from multiple cameras due to varying formats and the presence of malfunctioning cameras, which can taint data analytics by including non-functional cameras, leading to inaccurate modeling of events.
Innovation Solution
A centralized image streaming platform that scrapes and integrates camera parameters from various servers, filters out malfunctioning cameras, and transforms data into a unified format for access via a database, ensuring accurate and efficient data analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If entities access large conventional databases to increase image data availability, then the quantity of image data increases, but the accuracy of data analytics deteriorates due to dead cameras and non-functional cameras tainting the data
Solution Approach 1:
The system performs preliminary actions by continuously scraping camera parameters from multiple sources before data analytics execution. It proactively identifies and filters out dead cameras and non-functional cameras from the database, ensuring that only functional cameras are included in the image data set used for analytics, thus preventing data tainting before it occurs
Solution Approach 2:
The system implements self-service through automated scraping of camera parameters from multiple sources, automatic transformation of diverse data formats into a unified structure, and continuous validation to identify functional versus non-functional cameras. This automated self-maintenance ensures data quality without requiring manual intervention
2Quantity of substance
If entities access image streams from multiple cameras with varying formats, then the completeness of the data set improves, but the complexity of data integration increases
Solution Approach 1:
The system implements universality by creating a unified data structure that can accommodate camera parameters from multiple diverse sources including municipal databases, commercial providers, and private entities. The standardized format serves as a universal interface that simplifies integration while maintaining the ability to access complete data sets from various camera sources
Solution Approach 2:
The system applies parameter changes by transforming diverse camera parameter formats into a standardized unified structure. It scrapes parameters such as camera location, field of view, and operational status from multiple sources and converts them into consistent formats, thereby reducing integration complexity while preserving data set completeness
3Productivity
If conventional databases include all available camera links, then access to image data is maximized, but the quality of data for analytics deteriorates due to inclusion of malfunctioning cameras
Solution Approach 1:
The system extracts and separates functional cameras from non-functional cameras through automated scraping and validation of camera parameters. It identifies dead cameras and malfunctioning cameras by checking operational status indicators and removes them from the accessible image data set, thereby maintaining high productivity for functional cameras while ensuring data quality
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring camera operational status through parameter scraping and validation. It uses this feedback to dynamically update the database, removing cameras that fail functional checks while maintaining access to cameras that pass validation, thus balancing productivity and reliability
Data Source
AI summary
Systems and methods include providing image streams captured by cameras by scraping camera parameters that are updated and analyzed as the cameras capture the image streams. Embodiments of the disclosure relate to scraping the camera parameters from a corresponding server as the camera parameters for each camera are updated. The camera parameters are stored in an image streaming database thereby linking the camera parameters for each camera scraped from the corresponding server as stored in the image streaming database. The camera parameters are transformed as scraped from each corresponding server into a unique identifier as thereby stored in the image streaming database. The unique identifier when accessed via the image streaming database enables access to each image stream captured by each camera as streamed from each corresponding server. Each image stream is provided from each corresponding server based on the unique identifier stored in the image streaming database.