Autonomous Mobile Robot for Intrusion Detection Verification
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Solution Overview
Problem
Surveillance systems in commercial and industrial premises face challenges in verifying alarm conditions without relying on human intervention, particularly due to privacy concerns related to video cameras, and existing solutions are inadequate in providing reliable, automated verification methods.
Innovation Solution
An autonomous mobile unmanned machine, such as a video-enabled robot, is programmed to navigate to the location of an alarm condition, collect sensor data, and verify the presence of the condition, allowing for automated confirmation of alarms without constant video surveillance, thereby facilitating the dispatch of emergency personnel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video cameras are installed throughout the facility for alarm verification, then alarm verification capability is improved, but privacy concerns increase and device complexity increases
Solution Approach 1:
The surveillance function is segmented from continuous operation to on-demand operation. Instead of having cameras continuously monitoring all areas, the system divides verification into specific alarm-triggered events, activating surveillance only when and where needed at the alarm location.
Solution Approach 2:
The system transitions from continuous surveillance to periodic surveillance triggered by alarm events. The autonomous machine periodically activates to verify alarms only when triggered, rather than maintaining constant surveillance of all facility areas.
2Reliability
If human operators manually verify alarms by traversing the facility, then alarm verification is achieved, but response time increases and safety risks increase
Solution Approach 1:
The system replaces manual human verification with an autonomous mobile machine equipped with sensors. The machine autonomously navigates to alarm locations and collects verification data, substituting human physical traversal with automated robotic inspection.
Solution Approach 2:
The autonomous machine performs self-navigation and self-verification tasks without human intervention. It autonomously travels to alarm locations, collects sensor data, and provides verification information back to the monitoring system independently.
3Reliability
If continuous video surveillance is implemented for alarm verification, then verification reliability is improved, but energy consumption increases and privacy concerns worsen
Solution Approach 1:
The surveillance system operates periodically based on alarm triggers rather than continuously. The autonomous machine activates only when alarms occur, dramatically reducing energy consumption compared to continuous surveillance while maintaining verification reliability for actual events.
Solution Approach 2:
Surveillance resources are concentrated locally at alarm locations rather than distributed continuously throughout the facility. The autonomous machine focuses sensing and verification capabilities specifically where alarms are triggered, optimizing energy use while maintaining verification effectiveness.
Data Source
AI summary
Described are techniques that use an autonomous mobile unmanned machine that includes at least one sensor device suitable to verify an alarm condition. Upon assertion of an alarm condition message asserted as a result of a potential alarm condition existing within a facility, the machine receives a location of the alarm condition and is programmed with a route from a current location of the autonomous mobile unmanned machine to the location of the alarm condition. The at least one sensor device carried by the autonomous mobile unmanned machine collects sensor data at least at the location of the alarm condition and the machine sends to a system a message pertaining to status of the alarm condition.