PATENT CLAIM ANALYSIS

Application Number: 15990115
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-10
Patent Classification: ["348", "129000"]

Abstract:
A fingerprint identification module test system includes a light source, a projection surface, a low-end image pickup device and a judgment module. The light source emits and projects a light beam onto an under-test fingerprint identification module. After the light beam is reflected by the under-test fingerprint identification module and projected onto the projection surface, a projected image is formed on the projection surface. Then, the low-end image pickup device photographs the projected image to acquire an under-test corresponding to the under-test fingerprint identification module. According to the result of comparing the under-test image with the predetermined image, the judgment module judges whether the under-test fingerprint identification module complies with the production specifications. Since the fingerprint identification module test system uses parity devices to test the under-test fingerprint identification module, the fingerprint identification module test system is cost-effective.

Claim (Index 5):
The fingerprint identification module test system according to  claim 1 , wherein the judgment module compares the under-test image with the predetermined image according to a similarity recognition algorithm.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 93.0
- Lexical Diversity: 2.67857
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15790773', '13788959', '14447249', '14976173', '10534432']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6298546272983084
- 35 USC 102 Novelty (BERT): 0.4890401177950065
- Combined Prediction Score: 0.6157731763479782
- Mean Citation Score: 164.76784999999995
- Max Citation Score: 176.66828999999996
- Similarity Product: 116.3005848002332

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test