Activity Mapping System for Remote Object Tracking Diagnostics
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Solution Overview
Problem
Current object tracking and counting systems require time-consuming on-site audits and often necessitate high-grade technical support to diagnose and correct configuration errors, especially when deployed across large geographical regions, leading to increased costs and inefficiencies.
Innovation Solution
A system that compiles statistical data on object behaviors over contiguous areas of a scene, allowing for remote diagnosis and adjustment of detector settings, including dynamic adjustment of monitoring regions and automatic fault detection, to optimize system performance without on-site visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If on-site audits are performed to validate system operation, then diagnostic accuracy is improved, but time consumption and travel costs increase
Solution Approach 1:
The patent creates a virtual copy of the physical scene by processing detector signals into a represented scene that mirrors the actual environment. This virtual representation allows remote validation technicians to audit system operation without traveling to the physical location, thereby maintaining diagnostic accuracy while eliminating time consumption and travel costs associated with on-site visits
Solution Approach 2:
The patent introduces an intermediary processing system that converts raw detector signals into a represented scene suitable for remote validation. This intermediary layer enables communication between the physical detection system and remote technicians, allowing accurate diagnosis without direct physical presence at the installation site
2Reliability
If manual validation is performed to confirm system configuration, then operational reliability is improved, but productivity decreases
Solution Approach 1:
The patent enables the validation system to serve itself by automatically processing detector signals and generating represented scenes that can be remotely validated. The system self-monitors its own operation through the created representations, eliminating the need for manual on-site validation while maintaining operational reliability and significantly improving validation efficiency
Solution Approach 2:
The patent implements a feedback mechanism where the represented scene generated from detector signals provides immediate visual feedback about system operation to remote validation technicians. This feedback loop allows continuous monitoring and validation without manual intervention, maintaining reliability while boosting productivity through automated self-validation capabilities
3Measurement precision
If detailed scene analysis is performed to diagnose tracking errors, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent segments the complex scene into discrete represented elements that can be individually analyzed. By dividing the continuous scene data into manageable representations, the system enables precise error diagnosis through detailed analysis of specific segments without requiring processing of the entire scene, thereby improving measurement precision while reducing overall processing time
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient remote management of object tracking systems, reducing costs and improving diagnostic efficiency by providing intuitive visual representations of object behaviors and allowing for automatic adjustments, thus improving the accuracy and reliability of object tracking and counting.
Implementation Method 1
a detector arranged to receive radiation from a scene
Data Source
AI summary
A system for monitoring the motion of objects is configured to identify objects meeting predetermined criteria appearing in a scene and to track the motion of identified objects across the scene. In a particular embodiment the system is configured to compile statistical data for multiple points or regions to indicate one or both of: the frequency with which objects are initialised at that region or point; and the frequency with which initialised objects cross the region or point. The initialisation data will indicate the areas in the scene where objects are most frequently initialised. If the statistical data shows an area of the scene in which objects are never initialised this might indicate that there is an obstruction between objects that need to be tracked and the detector. The path data will indicate the paths most frequently followed by objects. If there is a particularly well trodden path to and fro in a particular part of the scene this might distort the result of a count of people entering and leaving a region in the scene.