Autonomous Security Data Machine for Real-Time Event Detection
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Solution Overview
Problem
Conventional security systems are costly due to the need for large numbers of security personnel to effectively monitor environments, and they lack efficient methods for analyzing and responding to security events in real-time.
Innovation Solution
The implementation of autonomous data machines that collect and analyze security data from various sources, including sensors and social media, to detect and respond to security events, reducing the need for human resources by enabling automated detection and response through self-propelled machines and remote monitoring systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security systems employ a large number of security personnel for effective surveillance, then security coverage and detection capability are improved, but implementation cost and operational expense increase significantly
Solution Approach 1:
The patent replaces human security personnel with an automated system consisting of multiple surveillance devices (cameras, sensors, detectors) that automatically monitor environments, detect security events, and transmit data to a remote monitoring center, eliminating the need for large numbers of human guards while maintaining or improving detection capability
Solution Approach 2:
The system enables self-monitoring through autonomous surveillance devices that automatically detect, record, and transmit security data without human intervention, with the remote monitoring center processing data and generating alerts autonomously, creating a self-sufficient security system that reduces dependency on human operators
2Area of stationary object
If conventional security systems use multiple surveillance devices to monitor environments, then security coverage is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent combines data from multiple surveillance devices (cameras, sensors, detectors) into a unified remote monitoring center that processes all security data centrally, integrating diverse data sources into a single system that manages comprehensive coverage while simplifying data handling through centralized processing
Solution Approach 2:
The remote monitoring center acts as an intermediary between multiple surveillance devices and end users, receiving, processing, and interpreting data from various devices before presenting information to users, thereby managing system complexity by providing a single point of data convergence and processing
3Loss of time
If security data is collected and analyzed in real-time to detect and respond to security events, then response time and detection accuracy are improved, but computational resources and processing power requirements increase
Solution Approach 1:
The system performs preliminary data processing and filtering at the remote monitoring center, pre-processing security data to identify potential threats before full analysis, and maintains historical data for quick comparison, enabling faster response times while reducing the computational burden of real-time analysis by preparing data in advance
Data Source
AI summary
Systems and methods are provided for improved security services. In one aspect, a method is provided for controlling an autonomous data machine situated near a monitored environment. The method comprises: obtaining security data from a plurality of data sources; analyzing the security data to generate an analysis result; determining, based on the analysis result, an action to be performed by the autonomous data machine; and transmitting a command to the autonomous data machine causing it to perform the action.