Barrier Opening Control from Face Recognition and Body Region Size
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Solution Overview
Problem
Existing gate apparatuses struggle to accurately identify the authorized individual approaching a barrier, especially when facial recognition is obstructed or incomplete, leading to potential errors in gate operation.
Innovation Solution
The apparatus employs a combination of facial recognition and body region tracking, using a processor to detect the closest person based on body region size and, if necessary, unobstructed boundaries, to control the barrier's operation, allowing for authorized individuals to pass without repeated authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial recognition is used for gate control, then authentication accuracy is improved, but reliability deteriorates when facial recognition is obstructed or incomplete
Solution Approach 1:
The patent combines facial recognition with body region tracking to create a hybrid authentication system. When facial recognition fails or is obstructed, the system switches to or supplements with body region analysis, ensuring continuous and reliable gate operation under various conditions.
Solution Approach 2:
The system dynamically changes authentication parameters by switching between different identification methods (facial features vs. body region characteristics) based on detection conditions. This allows the system to adapt to different scenarios and maintain reliability regardless of obstructions or incomplete data.
2Device complexity
If only facial recognition is used, then device complexity is reduced, but reliability worsens due to potential errors when faces are obstructed
Solution Approach 1:
The patent integrates facial recognition and body region tracking into a unified system that leverages the strengths of both methods. This combination maintains reasonable system complexity while significantly improving authentication reliability by providing multiple pathways for successful identification.
Solution Approach 2:
The system performs preliminary detection to determine whether facial recognition or body region tracking should be used. By pre-assessing detection conditions and switching methods in advance, the system avoids errors that would occur if a single method were used regardless of conditions.
3Reliability
If body region tracking is added to facial recognition, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent merges facial recognition and body region tracking into a coordinated system where both methods work together. The integration is designed to improve reliability while managing complexity through shared processing infrastructure and conditional execution pathways.
Solution Approach 2:
The system automatically selects and executes the appropriate authentication method based on detected conditions without requiring manual intervention. This self-service capability manages operational complexity by making the system adaptive to different scenarios autonomously.
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.