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 groups by accounting for distance, obstructions, and sensor spacing, enabling efficient motion tracking and energy management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion tracking is implemented using existing environmental control systems, then occupancy detection capability is provided, but the ability to track motion across multiple time intervals and areas is insufficient
Solution Approach 1:
The system divides the monitoring area into multiple zones with sensors distributed throughout, and segments motion tracking into discrete time intervals. Each sensor independently detects motion in its local zone, and the controller aggregates these segmented detections to reconstruct complete motion trajectories across space and time, resolving the limitation of existing systems that cannot track motion across multiple areas and time intervals effectively
Solution Approach 2:
The patent adds the time dimension to traditional spatial motion detection by implementing multi-time interval tracking. Instead of only detecting motion presence in a single moment, the system captures motion events across multiple sequential time intervals, creating temporal trajectories that enable tracking of motion patterns, duration, and sequences, thereby transforming 2D spatial detection into 3D spatio-temporal tracking
2Area of stationary object
If multiple sensors are deployed to improve motion tracking coverage, then area coverage is increased, but the complexity of identifying and linking sensor groups across time intervals increases
Solution Approach 1:
The system merges data from multiple individual sensors by identifying groups of neighboring sensors that detect motion simultaneously. The controller combines sensor readings from adjacent sensors to form coherent motion detection groups, reducing the complexity of managing individual sensors while maintaining comprehensive area coverage. This merging approach transforms numerous independent sensor inputs into organized sensor groups that represent meaningful motion events
Solution Approach 2:
The system implements feedback mechanisms where the controller continuously monitors sensor group patterns across time intervals and uses this information to refine motion tracking. By analyzing feedback from sensor group activations and deactivations, the system learns to identify valid motion patterns versus false positives, automatically adjusting tracking parameters without increasing operational complexity
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.