Autonomous Asset Monitoring With Mobile Indoor Tracking
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Solution Overview
Problem
Home security systems with stationary sensors are unable to monitor the entire property and track objects of interest that are moved within an indoor environment, as they are fixed in designated locations and lack the capability to navigate and detect changes in assets effectively.
Innovation Solution
An autonomous asset management system integrating drone devices and other robotic devices with home security systems, utilizing environmental mapping and pattern matching techniques to generate dynamic multi-dimensional spatial representations of properties, allowing for navigation and monitoring of assets and dynamic objects, and performing actions based on detected status changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If stationary sensors are used in home security systems, then the system structure is simple and easy to install, but the system cannot monitor the entire property and cannot track moved objects
Solution Approach 1:
The patent introduces mobile autonomous devices (drones, robotic devices) that can dynamically move throughout the property to perform monitoring. These devices transition from static to dynamic operation, allowing comprehensive coverage of the entire property including indoor and outdoor areas, while maintaining manageable system complexity through autonomous operation.
Solution Approach 2:
The autonomous devices serve multiple functions: they perform security monitoring, asset tracking, navigation, and environmental mapping simultaneously. This multi-functionality allows a single mobile device to replace multiple stationary sensors, expanding monitoring coverage without proportionally increasing system complexity.
2Measurement precision
If fixed security components are deployed, then installation is straightforward, but the system cannot track objects that are periodically moved throughout the indoor environment
Solution Approach 1:
The system implements continuous feedback loops where autonomous devices periodically scan the environment, detect asset positions, and update tracking information. Sensors capture real-time data about moved objects, and the system processes this feedback to maintain accurate asset locations throughout the indoor environment, enabling precise tracking of periodically moved objects.
Solution Approach 2:
The system performs preliminary environmental mapping and asset registration before actual monitoring begins. Autonomous devices first create a spatial representation of the property and identify initial asset positions, establishing a baseline for subsequent tracking. This preliminary action simplifies ongoing operation by pre-configuring the monitoring framework.
3Loss of information
If autonomous devices with environmental mapping capabilities are deployed, then comprehensive asset monitoring is achieved, but device complexity and computational requirements increase
Solution Approach 1:
The system segments the complex monitoring task into distinct functional modules: environmental mapping, asset detection, position tracking, and status monitoring. Each autonomous device contains specialized sensors and processing units for specific functions, reducing individual device complexity while achieving comprehensive information gathering through coordinated operation of multiple segmented components.
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.