Face Recognition Unlocking Device Dynamic Position Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Face recognition unlocking devices face challenges in achieving high recognition rates due to varying optimal recognition locations based on device installation, user body type, and device performance, leading to degraded recognition and authentication efficiency.
Innovation Solution
A face recognition unlocking device that includes a collection device, a controller, and an output device, which calculates the optimal user location for successful face recognition and guides the user to move to that location using visual or auditory cues, storing user profiles for improved authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the face recognition device uses a fixed installation location for data collection, then the device structure is simple, but the recognition rate degrades because the optimal recognition location varies according to installation location, user body type, and device performance
Solution Approach 1:
The patent applies dynamics by making the optimal recognition location adjustable rather than fixed. The controller dynamically determines the optimal location based on user position detection, allowing the system to adapt to different installation locations, user body types, and device performances. This resolves the contradiction by enabling high recognition rates across varied conditions without requiring complex hardware changes.
Solution Approach 2:
The patent changes the parameter of recognition location from a fixed value to a dynamically adjustable parameter. By calculating and updating the optimal recognition location based on detected user position and camera parameters, the system maintains high recognition rates while using a simple fixed camera installation. This parameter adjustment approach resolves the contradiction between reliability and device complexity.
2Productivity
If the face recognition device does not provide user position guidance, then the device operation is simple, but authentication time increases because users cannot quickly reach the optimal recognition location
Solution Approach 1:
The patent implements feedback by detecting user position and providing guidance information back to the user through the output device. The controller continuously monitors user location relative to the optimal recognition position and provides real-time feedback via arrows or distance indicators. This feedback loop enables users to quickly adjust their position, significantly reducing authentication time while adding minimal system complexity.
Solution Approach 2:
The patent introduces an intermediary guidance system that mediates between the user and the optimal recognition location. The output device acts as an intermediary, translating complex camera positioning data into simple directional arrows and distance information that users can easily understand and follow. This intermediary approach accelerates authentication while keeping the core recognition system simple.
3Adaptability or versatility
If the camera has a wide view angle to capture more users, then the device coverage is improved, but the recognition accuracy decreases because the user cannot be positioned at the optimal recognition location
Solution Approach 1:
The patent applies segmentation by dividing the viewing area into multiple zones with different recognition qualities. The controller identifies the optimal recognition location within the wide view angle and provides targeted guidance to steer users to that specific zone. This segmentation approach allows the system to maintain wide coverage while ensuring high recognition accuracy when users are properly positioned, resolving the contradiction between adaptability and measurement precision.
Data Source
AI summary
A face recognition unlocking device includes a collection device configured to obtain information of a user, a controller configured to determine whether face recognition of the user succeeds, based on the information of the user, and calculate a location of the user for success in the face recognition, and an output device configured to guide the user to move.