PATENT CLAIM ANALYSIS

Application Number: 15997797
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["340", "005520"]

Abstract:
A biometric fusion electronic lock system contains a central processing module including an image processing unit, a voice processing unit, a digital signal processing unit, a logic processing unit, and an interface control unit. An image capturing module is electrically connected with the central processing module. A voice capturing module is electrically connected with the central processing module. A locking/unlocking module is configured to drive a locking latchbolt to lock or unlock the electronic lock system, and the locking/unlocking module is electrically connected with the central processing module. A storage module is set in a storage media of the electronic lock system so as to store facial features and voiceprint data captured by the image capturing module and the voice capturing module respectively. A liquid-crystal display (LCD) module is electrically connected with an interface control unit of the central processing module.

Claim (Index 2):
A biometric fusion electronic lock system comprising:\n a central processing module including an image processing unit, a voice processing unit, a digital signal processing unit, a logic processing unit, and an interface control unit; an image capturing module electrically connected with the central processing module: a voice capturing module electrically connected with the central processing module; a locking/unlocking module configured to drive a locking latchbolt to lock or unlock the electronic lock system, and the locking/unlocking module being electrically connected with the central processing module; a storage module, set in a storage media of the electronic lock system, configured to store facial features and voiceprint data captured by the image capturing module and the voice capturing module respectively; and a liquid-crystal display (LCD) module electrically connected with the interface control unit of the central processing module, wherein the image capturing module is a camera configured to capture images so as to distinguish facial features and facial expressions by using a vector graphics program, wherein the facial features are compared and distinguished by way of principal component analysis (PCA) or linear discriminant analysis (LDA), and the facial expressions are compared and distinguished by using project oxford emotion application programming interface (API) of an emotion analysis database, wherein the facial features and the facial expressions are compared and distinguished simultaneously, and wherein the logic processing unit logically distinguishes the images by way of image input equipment, then the digital signal processing unit captures the facial features and compares the facial features with a facial image database so as to select a corresponding user, and thereafter the selected user is compared with a predetermined expression sequence of the selected user and a determination as to a reliability of facial recognition is made based upon the comparison, wherein upon a determination that the reliability is high, the interface control unit locks/unlocks the electronic lock system, wherein upon a determination that the reliability is low, the electronic lock system remains locked, and wherein upon a determination that the reliability is medium, the voice capturing module is activated to distinguish voiceprints.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.61017
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15481518', '15093189', '15392444', '15674105', '15353508']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6528579652412602
- 35 USC 102 Novelty (BERT): 0.4580975408532269
- Combined Prediction Score: 0.6333819228024569
- Mean Citation Score: 130.37807
- Max Citation Score: 136.40143999999998
- Similarity Product: 110.64012756295205

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test