Autonomous Security Robots for Facility Blind Spot Coverage
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Solution Overview
Problem
Conventional security systems relying on fixed cameras often fail to provide comprehensive coverage of all areas within facilities, leading to blind spots and potential security breaches due to camera malfunctions or inadequate placement.
Innovation Solution
The implementation of a security system that utilizes autonomous mobile machines, which are instructed by a processor-based system to deploy to surveillance areas determined by facility maps, ensuring comprehensive coverage and addressing blind spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed camera devices are used for security monitoring, then the system structure is simple and cost-effective, but coverage blind spots occur and reliability decreases when cameras fail or are inadequately placed
Solution Approach 1:
The patent introduces autonomous mobile robots that dynamically move throughout the facility to perform security tasks, replacing static fixed cameras. The robots can autonomously navigate to blind spots and adjust their positioning based on real-time security needs, transforming the security system from static to dynamic architecture.
Solution Approach 2:
The autonomous mobile robots are designed with multi-functionality, capable of performing various security tasks including surveillance, inspection, and response operations across different facility areas. A single robot can serve multiple functions and deploy to multiple locations, reducing the need for numerous fixed camera devices.
2Area of stationary object
If more fixed camera devices are deployed to eliminate blind spots, then coverage area increases, but system complexity and cost increase
Solution Approach 1:
Instead of deploying multiple static cameras to cover all areas, the system uses mobile robots that dynamically expand their coverage area by moving to different locations. The coverage area is not fixed but can be adjusted in real-time based on security priorities and robot mobility.
Solution Approach 2:
The autonomous mobile robots independently navigate and position themselves to cover blind spots without requiring manual deployment or complex centralized control for each camera. The system self-organizes to achieve comprehensive coverage through autonomous decision-making and navigation.
3Adaptability or versatility
If fixed camera devices are used, then installation is simple, but adaptability to changing security needs and blind spot coverage is poor
Solution Approach 1:
The system transitions from static camera installations to dynamic mobile robotic systems that can adapt their positioning and surveillance focus based on changing security requirements. The robots can be redirected to new areas or tasks through software updates without physical reinstallation.
Solution Approach 2:
The system allows for parameter changes in security coverage by modifying the robots' navigation paths, surveillance parameters, and task priorities through software control, rather than requiring physical changes to fixed camera installations. This enables flexible adaptation to evolving security needs.
Data Source
AI summary
Systems and methods for use of autonomous mobile machine for blind spot coverage may include a security controller that determines a security coverage area based on data from a facility map indicating physical and functional representations of a facility and objects within the facility. The security controller may also determine a surveillance area based on the security coverage area. The security controller may also transmit, to an autonomous mobile machine, instructions for the autonomous mobile machine to deploy to the surveillance area and perform a security task at the surveillance area.