Remote Object Tracking Across Disparate Property Monitoring Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional property monitoring systems lack the capability to effectively track objects across multiple properties using disparate monitoring systems, leading to inefficiencies in alarm triggering and object tracking.
Innovation Solution
A remote monitoring system that analyzes image data from surveillance cameras to detect and track objects by receiving image models from local monitoring systems, generating tracking updates, and plotting trajectories on user devices, while ensuring user privacy through obfuscated image models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional property monitoring systems are used to monitor sensor data at individual properties, then local security monitoring is achieved, but the capability to track objects across multiple properties is lost
Solution Approach 1:
The patent combines data from multiple independent property monitoring systems into a unified tracking network. The remote monitoring system aggregates image data from cameras at different properties, merges tracking information across property boundaries, and creates comprehensive object trajectories that span multiple locations, thereby enabling cross-property tracking while maintaining individual property monitoring capabilities
Solution Approach 2:
The monitoring system is designed to perform multiple functions: it maintains local property monitoring capabilities while simultaneously enabling cross-property object tracking. The system can operate in both modes independently or together, making it versatile enough to serve individual property security needs and broader tracking objectives without requiring separate systems
2Measurement precision
If image data from multiple properties is collected for object tracking, then tracking accuracy is improved, but user privacy and data security concerns increase
Solution Approach 1:
The patent introduces a remote monitoring system as an intermediary that handles all cross-property tracking operations. This intermediary system collects, processes, and analyzes image data from multiple properties without requiring direct access to individual property systems. It generates tracking information and returns only essential data to local systems, acting as a privacy-protecting mediator that enables accurate tracking while minimizing exposure of sensitive property-specific data
Solution Approach 2:
The system extracts only the necessary tracking information from comprehensive image data. Instead of sharing or storing complete image feeds from multiple properties, the remote monitoring system extracts specific object identification data, location coordinates, and trajectory information. This extraction approach maintains tracking accuracy while significantly reducing privacy risks by minimizing the amount of sensitive data that needs to be handled and stored
3Difficulty of detecting and measuring
If local monitoring systems transmit image data to a remote system for tracking, then object detection capability is improved, but system complexity and communication requirements increase
Solution Approach 1:
The patent implements preliminary action by having local monitoring systems perform initial object detection and filtering before transmitting data to the remote system. Local cameras and processors identify potential objects of interest and pre-process images to extract only relevant frames or features. This preliminary processing reduces the data volume that needs to be transmitted and processed remotely, simplifying system integration while maintaining enhanced detection capability
Solution Approach 2:
The monitoring system is segmented into distinct functional components: local property monitoring systems that handle image capture and initial processing, a remote monitoring system that performs cross-property tracking analysis, and user interfaces that receive tracking information. This segmentation allows each component to be optimized independently and simplifies integration, as each segment has a clearly defined role and communication protocol with other segments
Data Source
AI summary
Methods, systems, apparatus, and computer programs, for tracking objects are disclosed. In one aspect, a method is disclosed that includes actions of obtaining an image, determining that a user of a first monitoring system has opted-in for object tracking by a second monitoring system that is remote from the first monitoring system, and based on a determination that the user of the first monitoring system has opted-in for object tracking: determining whether the obtained image satisfies a predetermined level of similarity to a stored tracking object image model stored on a first device of the first monitoring system, and based on a determination that the obtained image satisfies a predetermined level of similarity to the stored tracking object image model, generating a tracking update notification, and transmitting the tracking update notification to the second monitoring system that is remote from the first monitoring system.