Sensor Fusion Passenger Tracking for Elevator Dispatching
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Solution Overview
Problem
Elevator performance is inefficient due to manual signaling methods, which can be inappropriate for certain users or security environments, leading to inconvenience and delays during high or low traffic periods.
Innovation Solution
A fusion-based passenger tracking system utilizing 2D/3D sensors and security sensors to generate a passenger tracking list, which is used to optimize elevator dispatching and control, incorporating technologies like depth-sensing, facial recognition, and Bayesian estimation for improved passenger management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual signaling methods are used for elevator control, then the system is simple and easy to operate, but elevator performance is inefficient and causes delays during high or low traffic periods
Solution Approach 1:
The patent replaces manual mechanical button pressing with automated sensor-based detection. Depth sensors, 2D/3D cameras, and other sensing devices automatically detect passenger presence, intent, and movement without requiring physical interaction, thereby improving elevator performance while reducing operational complexity
Solution Approach 2:
The system enables self-service by allowing passengers to be automatically tracked and served based on their detected presence and movement patterns. The fusion-based tracking system autonomously identifies passenger intent and directs appropriate elevator cars without manual signaling, improving throughput during high-traffic periods
2Adaptability or versatility
If manual button signaling is used, then user interaction is simple, but it is inappropriate for certain users or security environments
Solution Approach 1:
The system changes the detection parameters from requiring active user input (button pressing) to passive sensor detection. By monitoring depth, position, and movement parameters automatically, the system accommodates users who cannot or should not manually signal, such as those with disabilities or in secure environments where manual interaction is restricted
3Measurement precision
If fusion-based tracking system is implemented, then passenger tracking accuracy is improved, but system complexity increases
Solution Approach 1:
The patent merges multiple sensing modalities (depth sensors, 2D/3D cameras, security sensors) into a unified fusion-based tracking system. By combining data from these diverse sources and processing them together, the system achieves high tracking accuracy despite the increased complexity of integrating multiple sensor types and data processing algorithms
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 passenger experience by reducing wait times and improving traffic efficiency through accurate tracking and dispatching, while ensuring security and privacy through encrypted data access.
Implementation Method 1
the depth-sensing sensor comprises a structured light measurement, phase shift measurement, time of flight measurement
Implementation Method 2
the depth-sensing sensor comprises a structured light measurement
Implementation Method 3
the security data includes at least one of facial recognition, badge identification, fingerprint identification
Data Source
AI summary
A fusion based passenger tracking system includes one or more 2D/3D sensors for capturing 2D/3D data; one or more security sensors for capturing security data; and a processing module in communication with the one or more 2D/3D sensors to receive the 2D/3D data, and the one or more security sensors to receive the security data, the processing module uses the 2D/3D data and the security data to calculate passenger data to generate a passenger tracking list that tracks each individual passenger in the passenger data.