Autonomous Asset Tracking With Mobile Security Robots
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Solution Overview
Problem
Home security systems with fixed components are unable to monitor the entire premises of a property and track objects of interest that are periodically moved, leading to gaps in asset management and monitoring.
Innovation Solution
An autonomous asset management system integrating drone and robotic devices with home security systems uses environmental mapping and pattern matching techniques to navigate and monitor assets within a property, generating dynamic multi-dimensional spatial representations to track and manage assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed security components are used, then installation simplicity is improved, but monitoring coverage and tracking capability deteriorate
Solution Approach 1:
The patent employs mobile robotic devices with wheels or tracks that can autonomously navigate throughout the property, transforming the monitoring system from static to dynamic. These devices continuously move to different locations to monitor assets, providing both the simplicity of a centralized control system and the adaptability of distributed monitoring coverage.
Solution Approach 2:
The mobile robotic devices serve multiple functions: they navigate autonomously, capture images and video, identify assets using pattern recognition, track asset locations, and communicate with the central system. This multi-functionality allows a single device type to replace multiple fixed components while maintaining installation simplicity.
2Device complexity
If fixed security components are used, then system complexity is reduced, but ability to track moved objects deteriorates
Solution Approach 1:
The system uses pattern recognition and image processing to continuously identify assets and their locations. The mobile devices report back to the central system, which updates asset locations and generates alerts when assets are moved or status changes occur. This feedback loop enables automatic tracking without requiring complex manual intervention.
Solution Approach 2:
The mobile robotic devices autonomously navigate to asset locations, capture images, identify assets using onboard pattern recognition algorithms, and transmit data to the central system without human intervention. This self-service capability reduces system complexity while maintaining advanced tracking functionality.
3Adaptability or versatility
If mobile autonomous devices are deployed, then monitoring coverage is improved, but device complexity increases
Solution Approach 1:
The monitoring system is divided into independent mobile robotic units, each capable of autonomous operation. Each device contains its own navigation system, sensors, cameras, and processing capabilities, allowing the system to scale by adding or removing individual units without increasing the complexity of each device.
Solution Approach 2:
A central system acts as an intermediary between multiple mobile devices and the user interface. It receives data from all devices, processes asset location information, generates alerts, and provides a unified interface for users. This mediator approach allows complex coordination of multiple devices while keeping individual device complexity manageable.
Data Source
AI summary
Techniques are described for an autonomous asset management system that integrates autonomous devices, such as drone devices and other robotic devices, with a home security system of a property to enable management, monitoring, and/or tracking of various assets located within the property. In some implementations, an indication of an asset associated with a property is obtained by an autonomous device. Sensor data collected by one or more sensors of the property is obtained by the autonomous device based on the indication of the asset. A present status of the asset is determined by the autonomous device based on the sensor data. A determination that the present status of the asset does not correspond to an expected status of the asset is made by the autonomous device. In response, the autonomous device navigates to the particular location of the property.