Short Range Radar Object Identification for Fare Gate Authorization
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Solution Overview
Problem
In transportation systems, existing technologies fail to accurately prevent tailgating at fare gates, leading to revenue loss and security issues due to the inability to distinguish passengers from luggage and other objects in a timely manner.
Innovation Solution
A transportation system utilizing short-range radars and machine learning algorithms to generate point clouds and identify objects, determining authorization for passage through fare gates by matching sensed data with profiles, ensuring only authorized passengers pass through at a time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fare gate systems are used to track passengers, then the system structure is simple, but the system cannot accurately distinguish passengers from luggage and other objects, leading to tailgating incidents and revenue loss
Solution Approach 1:
The patent replaces traditional mechanical or manual passenger counting methods with radar-based detection systems. Short-range radars emit electromagnetic waves to detect objects at fare gates, generating point cloud data that captures spatial information. This substitution enables automated, contactless detection of passengers and their belongings, significantly improving identification accuracy while preventing tailgating incidents through precise object differentiation.
Solution Approach 2:
The patent transforms physical object characteristics into measurable parameters by using radar technology to capture point cloud data. Each detected object is characterized by spatial coordinates, reflectivity, and temporal patterns. These parameter transformations enable the system to distinguish between passengers (with specific movement patterns and radar signatures) and stationary objects like luggage, achieving high measurement precision through parameter-based identification.
2Productivity
If fare gates process passengers quickly, then throughput is high, but the system cannot verify each passenger's authorization, leading to unauthorized passage and revenue loss
Solution Approach 1:
The patent implements preliminary detection and classification of objects using radar technology before passengers reach the fare gate. The system continuously monitors the approach area, identifying passengers and their belongings in advance. This preliminary action allows the system to prepare authorization verification processes, ensuring that each passenger is properly authenticated before gate activation, thereby maintaining both high throughput and reliable authorization without compromising security.
Solution Approach 2:
The patent introduces radar-based object detection and machine learning algorithms as intermediaries between passenger approach and gate authorization. The radar system serves as an intermediary that captures detailed spatial and temporal data about approaching objects, while machine learning models act as intermediaries to interpret this data and make authorization decisions. This intermediary layer enables rapid, accurate verification of passenger authorization, maintaining high throughput while ensuring reliable authentication through automated decision-making processes.
3Reliability
If the system monitors all objects at the gate, then security is improved, but the processing time increases, reducing passenger throughput
Solution Approach 1:
The patent applies partial monitoring strategies by focusing radar detection resources on critical areas and objects. Rather than uniformly monitoring all space around the gate, the system concentrates detection efforts on the approach path and gate vicinity where security risks are highest. The radar system selectively tracks objects based on their proximity, movement patterns, and radar cross-section characteristics. This partial action approach maintains high security accuracy by monitoring relevant objects while reducing overall processing time through selective rather than exhaustive surveillance.
Solution Approach 2:
The patent implements periodic radar scanning and object re-evaluation rather than continuous full-system monitoring. The radar system performs periodic sweeps of the detection zone, updating object catalogs at optimized intervals. Machine learning models periodically re-evaluate detected objects to confirm their identity and authorization status. This periodic action maintains security accuracy by regularly checking on all objects while minimizing processing time by avoiding constant, redundant monitoring between periodic updates.
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
Effectively prevents tailgating incidents by ensuring each passenger is authorized and accounted for, maintaining accurate passenger counts and revenue security through precise object identification and authorization.
Implementation Method 1
one or more short range radars detect the object within a predetermined distance from the transportation gate and sense the object to generate a point cloud
Data Source
AI summary
A transportation system for identifying an object using a short range radar at a transportation gate. The transportation system includes one or more short range radars and a cloud server. The radars detect the object within a predetermined distance from the transportation gate and sense the object to generate a point cloud. An identification of the object is determined based on sensed data of the object using a machine learning algorithm from the cloud server. The identification is determined based on matching the point cloud with a plurality of profiles. The plurality of profiles includes matching information for a plurality of predetermined objects. The object is selected from the plurality of predetermined objects using the matching information. An authorization for the object is determined using another machine learning algorithm. Based on the authorization, either the passage through the transportation gate is authorized or the object is flagged as unauthorized.