3D Facility Analytics System for Real-Time Location Tracking
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Solution Overview
Problem
Controlled environment facilities face challenges in efficiently monitoring and managing the movement of individuals within their premises, including residents, staff, and visitors, due to limitations in tracking and visualization systems.
Innovation Solution
A location-based analytics system that utilizes a three-dimensional model of the facility, sensors, RFID detectors, cameras, and image analytics to detect and visualize the location of individuals, with a user interface for selecting and displaying their positions, and generating alerts for unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring systems are used in controlled environment facilities, then the facility can maintain basic security, but the ability to track and visualize individual locations in real-time is insufficient
Solution Approach 1:
The patent transitions from traditional two-dimensional monitoring to three-dimensional spatial visualization by projecting individual locations onto a 3D facility model. This dimensional enhancement allows precise location tracking while providing intuitive spatial context, resolving the contradiction between measurement precision and system complexity.
Solution Approach 2:
The system creates a virtual three-dimensional copy or replica of the physical facility environment. This digital twin allows monitoring and visualization of individual locations without physically altering the facility structure, enabling precise tracking while maintaining operational simplicity.
2Productivity
If more sensors and monitoring devices are deployed to improve tracking capability, then location monitoring improves, but the cost and complexity of the system increases
Solution Approach 1:
The three-dimensional model serves multiple functions simultaneously: it provides spatial visualization, location tracking, navigation guidance, and security monitoring. This multi-functionality increases monitoring efficiency without proportionally increasing system complexity, as a single system architecture supports multiple operational requirements.
Solution Approach 2:
The patent combines multiple monitoring functions (location tracking, identification, visualization, and alert generation) into a unified integrated system. By merging these functions rather than implementing separate systems, the patent improves monitoring efficiency while controlling overall system complexity.
3Reliability
If real-time location tracking is implemented, then security and resource distribution improve, but the system requires continuous power and data processing resources
Solution Approach 1:
The system automatically generates security alerts and notifications based on detected conditions such as unauthorized locations or prohibited movements. This self-service capability allows the system to maintain high security reliability through automated response mechanisms, reducing the need for continuous human intervention and associated energy consumption.
Solution Approach 2:
The system employs periodic scanning and sampling of sensor data rather than continuous monitoring at maximum capacity. This periodic action maintains adequate security reliability through regular updates while significantly reducing energy consumption compared to continuous full-capacity operation.
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
Enhances the ability to monitor and manage movement within controlled environments by providing real-time location tracking and alert systems, improving resource distribution and security by visualizing the location of residents, staff, and visitors on a three-dimensional model.
Implementation Method 1
the plurality of sensors comprises RFID (Radio Frequency Identification) detectors configured to detect RFID chips worn by the individuals
Implementation Method 2
a plurality of cameras located within the controlled-environment facility, wherein each of the plurality of cameras is configured to capture images of individuals located within a second proximity to the camera
Data Source
AI summary
A location-based analytics system provides tracking and visualization of individuals within a controlled-environment facility. A plurality of sensors, such as RFID (Radio Frequency Identification) sensors, are located within the controlled-environment facility and detect individuals located within a first proximity to the sensors. An analytics system determines the identity of individuals detected by the sensors and reports the locations of the identified individuals. A user interface provides the ability to select the display of the location and movement of selected individuals of the identified individuals on a three-dimensional model of the controlled-environment facility. The user interface also provides the ability to select a three-dimensional representation for the selected individuals and various other aspects of the controlled-environment facility. The selected representation of the selected individuals is projected onto the three-dimensional model of the controlled-environment facility at locations corresponding to the reported locations of the selected individuals within the facility.