Directional Antenna RF Label System for High-Density Crowd Tracking
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Solution Overview
Problem
Current crowd locating technologies face limitations in accuracy due to restricted wireless signal scans per second and high crowd density, leading to potential safety hazards in large indoor events.
Innovation Solution
A system employing directional antennas and passive radio frequency labels, combined with a trained deep learning model, to adaptively calculate regional crowd movement trends, enabling accurate tracking of over 200 individuals per second without exposing personal information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional wireless base stations are used to scan wireless labels, then the system can track crowd movement, but the scanning frequency is limited to 20-30 labels per second which is insufficient for high crowd density scenarios
Solution Approach 1:
The patent divides the monitoring area into multiple zones with multiple directional antennas positioned at different locations. Each antenna independently scans wireless labels in its coverage area, allowing parallel processing of multiple targets simultaneously. This segmentation enables the system to scan over 200 labels per second by distributing the scanning task across multiple antenna nodes rather than relying on a single base station.
Solution Approach 2:
The patent introduces directional antennas that can be positioned at elevated positions (such as ceilings or upper structures) to create three-dimensional spatial coverage. This vertical dimension allows antennas to scan labels from above, increasing the effective scanning area and capacity without proportionally increasing the number of ground-level base stations. The spatial arrangement in multiple dimensions enables higher scanning throughput while maintaining tracking precision.
2Productivity
If more base stations are deployed to increase scanning capacity, then the scanning speed improves, but the system complexity and cost increase
Solution Approach 1:
The directional antennas in the patent are designed to perform multiple functions: they scan wireless labels, determine signal strength for position calculation, and provide coverage for multiple zones. Each antenna node acts as an independent scanning unit that can be uniformly deployed and managed, reducing the complexity of coordinating multiple different types of devices. The standardized multi-functional design allows the system to achieve high data processing efficiency without proportionally increasing operational complexity.
Solution Approach 2:
The patent introduces a central server that acts as an intermediary to collect data from multiple directional antennas, process the signals, and calculate positions. This centralized processing approach simplifies the architecture by separating the scanning function (distributed across antennas) from the computation function (centralized on the server). The intermediary server coordinates all antenna nodes, manages data flow, and performs complex calculations, thereby reducing the overall system complexity while enabling high productivity through parallel data collection.
3Loss of information
If image recognition technology is used to track crowd movement, then visual information can be obtained, but personal privacy information such as facial features and body pose is exposed
Solution Approach 1:
The patent extracts only the necessary information (wireless label signals and signal strength data) required for anonymous position tracking, while deliberately excluding any visual or personal identifying information. By using radio frequency signals instead of optical imaging, the system obtains movement data without capturing facial features, body pose, or other biometric information. This selective extraction of minimal necessary data achieves effective crowd tracking while preserving individual privacy.
Solution Approach 2:
The patent replaces the optical/mechanical imaging system with an electromagnetic field-based wireless signal system. Instead of using cameras and image processing algorithms that inherently capture visual personal information, the system uses radio frequency signals transmitted by wireless labels. This substitution changes the detection mechanism from optical to electromagnetic, enabling position tracking without visual exposure of personal attributes, thus eliminating privacy harm while maintaining information completeness for movement analysis.
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 data processing efficiency and recognition accuracy while maintaining low resource consumption, effectively addressing the limitations of existing technologies and ensuring safer crowd management.
Implementation Method 1
The directional antenna is configured to, when driven by the calculation apparatus, send a read-write signal to the radio frequency label in a coverage region
Implementation Method 2
The directional antenna is further configured to forward a radio frequency signal simultaneously reflected by the radio frequency label at the time of obtaining the read-write signal to the calculation apparatus
Data Source
AI summary
The embodiments of the present disclosure provide a system for calculating a regional crowd movement and a method thereof. The system is applied to a target monitoring environment, a plurality of key travel nodes are planned in the target monitoring environment, and the system includes radio frequency labels deployed on pedestrians, calculation apparatuses deployed at the key travel nodes and a plurality of directional antennas. The directional antenna is configured to, when driven by the calculation apparatus, send a read-write signal to the radio frequency label in a coverage region; the directional antenna is further configured to forward a radio frequency signal simultaneously reflected by the radio frequency label at the time of obtaining the read-write signal to the calculation apparatus; the calculation apparatus is configured to, based on a tempo-spatial distribution circumstance of the radio frequency signals in the region.