3D Zone Tracking for Automated Physical Device Interaction
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Solution Overview
Problem
Existing technologies face challenges in managing the interaction between devices and objects in three-dimensional space, making it a technically challenging and time-consuming process to respond appropriately to an object's location.
Innovation Solution
A system that includes a computing system, tracking devices, and a real-time environment tracking module to track objects and zones in 3D space, allowing for the generation and management of static and dynamic zones, and the invocation of physical devices to perform specific actions based on interactions with these zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional object location tracking methods are used, then device response can be triggered based on object location, but the process becomes technically challenging and time-consuming to manage
Solution Approach 1:
The system segments the 3D space into multiple discrete zones with defined boundaries and attributes. Each zone can independently trigger specific device responses, allowing parallel processing of multiple object locations rather than sequential management, thereby improving efficiency and reducing time loss.
Solution Approach 2:
The system pre-configures zone attributes, device response rules, and interaction parameters before runtime. This preliminary setup eliminates the need for complex real-time decision-making during object tracking, enabling automatic and immediate device responses that improve productivity while minimizing management time.
2Measurement precision
If complex zone management systems are implemented to improve interaction accuracy, then device responses become more precise, but the system complexity increases
Solution Approach 1:
The zone management system uses a universal data structure and standardized attributes that can handle multiple zone types and device interactions through a single framework. This multi-functional approach maintains high measurement precision for object location while avoiding the need for separate complex management systems for different scenarios.
Solution Approach 2:
The system creates virtual representations of physical zones and objects in a digital twin environment, allowing complex spatial relationships and precision measurements to be managed through simplified digital models. This copying approach maintains accuracy while reducing the complexity of physical system management.
Data Source
AI summary
Systems and methods are provided for automatically controlling zone interactions in a three dimensional virtual environment. A computing device provides a graphical user interface (GUI) to assign zone attributes to a zone, which is a volume of space in the virtual environment. A virtual object is assigned to the zone, as well as an interaction and a responsive operation that follows the detected interaction. The virtual object's position in the virtual environment corresponds to a physical object's position in a physical environment. For example, when the computing system detects that the virtual object has entered or left the zone, according to an assigned interaction, then an assigned operation is executed to control a physical device in the physical environment.


