Biological Recognition Lock with Face and Iris Detection
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Solution Overview
Problem
Current electronic door locks using infrared sensors, Bluetooth, or RF signals for access control face issues with duplication and incorrect recognition, particularly with fingerprint recognition, which is limited due to the uniqueness of fingerprints and their potential duplication.
Innovation Solution
A biological recognition lock system employing a wireless control lock and a biological recognition host with a camera unit, image processing control unit, and image database for face and iris recognition, using BLE, Wi-Fi, or Zigbee for wireless communication, allowing for secure and accurate identity verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprint recognition is used for access control, then recognition function is provided, but duplication risk and limited applicability occur
Solution Approach 1:
The patent divides the biological recognition function into two independent modules: face recognition module and iris recognition module. Each module operates independently to perform specific recognition tasks, thereby improving overall reliability while maintaining versatility through multiple recognition methods.
Solution Approach 2:
The system integrates multiple biological recognition methods (face recognition and iris recognition) into a single access control system, enabling it to handle diverse recognition scenarios and overcome the limitations of single-method systems like fingerprint recognition.
2Ease of operation
If infrared sensor and wireless transmission are used for door lock, then wireless access control is achieved, but duplication and illegal copying risks remain
Solution Approach 1:
The patent replaces traditional mechanical key-based access control with biological recognition technology combined with wireless transmission. The biological recognition host captures biometric data (face and iris images) and transmits recognition results wirelessly to the door lock, eliminating the risks associated with copying mechanical keys or simple wireless signals.
3Measurement precision
If face recognition and iris recognition are performed, then recognition correctness is improved, but system complexity increases
Solution Approach 1:
The patent segments the recognition system into distinct functional modules: a camera unit for capturing images, a face recognition unit for processing face images, and an iris recognition unit for processing iris images. This modular architecture improves recognition correctness while managing system complexity through clear functional separation.
Solution Approach 2:
The patent introduces an intermediary processing unit that coordinates between the camera unit and the recognition units. This intermediary manages the image processing workflow, selects appropriate recognition methods, and integrates results, thereby reducing overall system complexity while maintaining high recognition accuracy.
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
The system significantly enhances recognition accuracy by performing face and iris recognition, reducing the risk of unauthorized access and overcoming limitations of existing technologies, making it suitable for secure access control in various settings.
Implementation Method 1
The color image sensors or the infrared image sensors generate an image signal after sensing the image light incident onto the camera module
Implementation Method 2
the image processing control unit controls the zoom part to adjust a focal length of the zoom lens set for the image signal to focus
Implementation Method 3
The filter switching part switches the color filter or the infrared filter based on a filter switching signal generated by the image processing control unit so as to align with the camera module
Data Source
AI summary
Disclosed is a biological recognition lock system including a wireless control lock and a biological recognition host. The wireless control lock includes a lock body and a wireless receiving unit, and the biological recognition host includes a camera unit, an image processing control unit, an image database and a wireless transmitting unit. The image processing control unit electrically connects and controls the camera unit, the image database and the wireless transmitting unit to determine identification so as to wireless open the wireless control lock. The image database includes recognition images for comparison and the camera unit has variable-focus and tracking feature, and includes a camera module, a color filter, an infrared filter and a filter switching part. Thus, the present invention implements a function of biological recognition lock through a face or iris recognition with the color or infrared images.