18233448. APPARATUS FOR IDENTIFYING A FACE AND METHOD THEREOF simplified abstract (HYUNDAI MOTOR COMPANY)
Contents
APPARATUS FOR IDENTIFYING A FACE AND METHOD THEREOF
Organization Name
Inventor(s)
Moon Sub Jin of Yongin-Si (KR)
Kyu Sang Choi of Suwon-Si (KR)
Hyeon Seok Jung of Suwon-Si (KR)
Kyung Hwan Cho of Anyang-Si (KR)
APPARATUS FOR IDENTIFYING A FACE AND METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18233448 titled 'APPARATUS FOR IDENTIFYING A FACE AND METHOD THEREOF
The present disclosure pertains to a face identification apparatus and method that involves detecting face information from image data, extracting face features based on a weight-lightened face feature extraction model, and comparing these features with a stored face database for identification.
- Processor detects face information from image data
- Face features are extracted based on a weight-lightened model
- Comparison of face features with stored face database for identification
- Storage stores data, algorithms, and the face database
- Weight-lightening technique used to enhance face feature extraction
Potential Applications: - Security systems for access control - Law enforcement for suspect identification - Personal device authentication
Problems Solved: - Efficient and accurate face identification - Enhanced security measures - Streamlined authentication processes
Benefits: - Improved security - Quick and reliable identification - User-friendly authentication methods
Commercial Applications: Title: Advanced Face Identification Technology for Enhanced Security This technology can be utilized in various industries such as: - Banking and finance - Airports and transportation hubs - Government agencies for secure access control
Prior Art: Readers can explore prior research on face recognition technology, weight-lightening techniques in machine learning, and advancements in biometric authentication systems.
Frequently Updated Research: Stay updated on the latest developments in face recognition technology, machine learning algorithms for biometrics, and advancements in security systems.
Questions about Face Identification Technology: 1. How does weight-lightening improve face feature extraction accuracy? Weight-lightening reduces the complexity of the model, making it more efficient in extracting relevant face features. 2. What are the key differences between traditional face recognition methods and the approach described in the patent application? The patent application focuses on using a weight-lightened model for face feature extraction, which enhances accuracy and efficiency compared to traditional methods.
Original Abstract Submitted
The present disclosure relates to a face identification apparatus and a method thereof. An apparatus includes: a processor configured to detect face information from image data, to extract face features from the detected face information based on a face feature extraction model weight-lightened through a weight-lightening technique, and to compare the face features with a previously stored face database to identify a face according to similarity; and a storage configured to store data and algorithms driven by the processor, and to have the face database.
