Barrier Authentication Using Face and Body Region Proximity
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Solution Overview
Problem
Existing gate apparatuses struggle to accurately identify and authenticate individuals approaching a barrier, particularly when facial recognition is obstructed or incomplete, leading to potential errors in determining the authorized person closest to the gate.
Innovation Solution
The apparatus employs a combination of facial recognition and body region analysis, using a processor to detect and track body regions, determine the closest person based on size and unobstructed boundaries, and control the gate accordingly, allowing for efficient authentication even when facial features are not clearly visible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial recognition is used to identify persons approaching the barrier, then authentication accuracy is improved, but the system fails when facial features are obstructed or not clearly visible
Solution Approach 1:
The patent combines facial recognition with body region detection and tracking to create a hybrid authentication system. When facial features are obstructed or not clearly visible, the system switches to identifying and tracking body regions (such as torso, legs, arms) to determine the closest person and perform authentication, thereby maintaining system reliability under various obstruction conditions.
Solution Approach 2:
The system dynamically changes the detection parameters based on image quality and visibility conditions. When facial features are not clearly visible, the system transitions from face-centric detection to body region-centric detection, adjusting the authentication approach according to the available visual information to ensure continuous operation.
2Device complexity
If only facial recognition is used, then the authentication process is simple, but errors occur when multiple persons are present and the closest person cannot be accurately determined
Solution Approach 1:
The patent merges facial recognition with body region detection and spatial analysis. The system detects multiple body regions in the image, determines their spatial relationships, and identifies the closest person based on both facial features and body position, thereby accurately determining which person to authenticate when multiple persons are present.
Solution Approach 2:
The system adds a spatial dimension to facial recognition by incorporating body region detection and tracking. Instead of relying solely on two-dimensional face detection, the system uses body region boundaries, positions, and distances to create a three-dimensional understanding of person locations, enabling accurate identification of the closest person.
3Measurement precision
If the system waits for clear facial features, then authentication accuracy is maintained, but processing time increases and efficiency decreases
Solution Approach 1:
The system performs preliminary body region detection and tracking before final authentication. By pre-identifying and tracking body regions in real-time, the system is ready to immediately perform facial recognition or body-based authentication when the person approaches the barrier, eliminating delays caused by waiting for clear facial features.
Solution Approach 2:
When body region detection provides sufficient information to identify the closest person, the system skips the traditional waiting period for clear facial features and proceeds directly to authentication using available body region data, thereby maintaining accuracy while significantly reducing processing time and improving efficiency.
Data Source
AI summary
An apparatus obtains a first image including a plurality of body regions captured at a first time by one or more cameras, each of the plurality of body regions corresponding to a person, among a plurality of persons; detects a first person, among the plurality of persons, by performing facial recognition operation on one of the plurality of body regions in the image obtained from the camera; determines, based on a size of a first body region corresponding to the first person captured in a second image, that the first body region approaching the barrier corresponds to a person closest to the barrier among the plurality of persons; and outputs information to control the barrier to open based on the determination that the first body region corresponds to the person closest to the barrier among the plurality of persons.