Motion tracking
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Solution Overview
Problem
Existing environmental control systems lack an effective method for tracking motion across multiple time intervals and areas, which hinders optimal energy management and space utilization.
Innovation Solution
A system comprising multiple sensors and a controller that identifies groups of neighboring sensors sensing motion greater than a threshold, linking these groups across time intervals to track motion and refine valid sensor groups, while accounting for obstructions and distances, to provide accurate occupancy data for lighting and environmental control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion tracking is implemented using individual sensors independently, then the system is simple to implement, but the accuracy of occupancy detection and motion tracking is insufficient
Solution Approach 1:
The patent combines multiple neighboring sensors into sensor groups that collectively detect motion. By merging the detection capabilities of multiple sensors and analyzing their combined output, the system achieves more accurate occupancy detection and motion tracking while maintaining manageable system complexity through standardized group processing.
2Reliability
If multiple sensors are grouped and tracked across time intervals, then the accuracy of motion tracking is improved, but the computational complexity and processing time increase
Solution Approach 1:
The system pre-establishes sensor groupings and spatial relationships before motion detection begins. By pre-defining which sensors form groups and their spatial configurations, the system reduces real-time computational complexity when tracking motion across multiple time intervals, thereby minimizing processing time while maintaining high tracking accuracy.
3Duration of action of moving object
If sensor groups are linked across multiple time intervals, then continuous motion tracking is achieved, but the system becomes more complex in handling temporal data
Solution Approach 1:
The patent segments the motion tracking problem into discrete time intervals with clearly defined sensor group activations. By dividing continuous motion tracking into temporal segments and identifying which sensor groups are active in each interval, the system achieves continuous tracking capability while simplifying data processing through structured temporal segmentation rather than handling continuous complex data streams.
Data Source
AI summary
Apparatuses, methods, apparatuses and systems for tracking motion are disclosed. One method includes identifying a group of sensors that includes a plurality of neighboring sensors sensing motion greater than a threshold during a time interval, and tracking motion, comprising linking the group to at least one past group of at least one past time interval.