Cloud Analytics Platform for Dynamic Camera Path Planning
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Solution Overview
Problem
There is a shortage of analysis tools to efficiently utilize the increasing datasets from CCTV and publicly available cameras, making it difficult for police and pedestrians to leverage these surveillance systems for real-time safety improvements in public environments.
Innovation Solution
A cloud-based system that integrates CCTV and publicly available cameras, using a network of cameras and a cloud-based analytics platform to provide an optimum travel path based on criteria such as maximum camera viewing range and historical incident data, while suggesting future camera installation sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If more CCTV and publicly available cameras are installed to improve safety monitoring coverage, then the quantity of surveillance cameras increases, but the effectiveness of utilizing the increasing datasets from these cameras remains insufficient due to shortage of analysis tools
Solution Approach 1:
The patent introduces a cloud-based analytics platform as an intermediary between the surveillance cameras and users. This platform aggregates data from multiple CCTV and publicly available cameras, processes the data through machine learning algorithms, and delivers actionable safety information. The intermediary resolves the contradiction by enabling effective utilization of large quantities of camera data without requiring direct complex analysis tools at each camera location.
Solution Approach 2:
The patent replaces manual or simple mechanical analysis methods with automated cloud-based computational systems. The analytics platform uses machine learning algorithms and artificial intelligence to automatically process and analyze surveillance data, substituting the need for manual data review and simple rule-based systems. This enables productive utilization of large datasets from numerous cameras through automated intelligent analysis.
2Ease of operation
If traditional surveillance systems are used without integration, then individual camera systems are simple to operate, but the system cannot provide comprehensive safety analysis or optimize travel paths using multiple camera datasets
Solution Approach 1:
The patent merges multiple independent camera systems (CCTV cameras and publicly available cameras) into a unified cloud-based analytics platform. Individual cameras continue to operate independently and capture data, but the cloud platform combines data from multiple sources to provide comprehensive safety analysis, incident detection, and optimized travel path recommendations that no single camera could provide alone.
Solution Approach 2:
The cloud-based analytics platform serves multiple functions: it monitors safety conditions, detects incidents, analyzes travel paths, provides real-time alerts, and generates statistical reports. This multi-functional system handles diverse camera inputs and provides various safety-related outputs, making the overall system adaptable to different safety needs while maintaining ease of operation through a unified interface.
3Area of stationary object
If real-time safety monitoring is implemented across multiple locations, then safety coverage area increases, but the complexity of integrating and analyzing data from multiple camera sources increases
Solution Approach 1:
The cloud-based analytics platform serves as a centralized intermediary that receives data from multiple geographically distributed cameras. Instead of creating complex point-to-point connections between cameras, all data flows through the cloud platform which standardizes processing. This intermediary architecture enables expanded safety coverage area while managing integration complexity centrally in the cloud rather than distributed across multiple locations.
4Quantity of substance
If more cameras are deployed to improve monitoring coverage, then the number of cameras increases, but the difficulty of identifying and verifying camera locations and metadata increases
Solution Approach 1:
The system implements automated self-service mechanisms for camera identification and verification. The analytics platform automatically queries IP addresses to extract location information, retrieves metadata from camera devices, verifies locations using street-view imagery, and validates camera functionality by analyzing captured images. This automated self-service approach enables management of large numbers of cameras without proportionally increasing the difficulty of location verification.
Data Source
AI summary
A system for determining a travel path, including a network of at least one camera, a communication hub coupled to the network of at least one camera, at least one electronic communication device, and a data processing system coupled to the communication hub, the data processing system comprising one or more processors configured to calculate a travel path based on user-specified criteria including maximum camera coverage, where the system is adapted to dynamically identify a plurality of cameras.