PATENT CLAIM ANALYSIS

Application Number: 15960173
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-08
Patent Classification: ["228", "104000"]

Abstract:
A circuit board assembly inspection method includes the following steps: measuring a geometrical characteristic value of a solder layer before soldering an electronic component to a circuit board and comparing the geometric characteristic value with a predetermined value and defining the grad of the solder layer according to a comparing result of the comparing step and performing a defective product process to the circuit board having an extremely bad solder layer, measuring a quality characteristic value of a solder joint layer after soldering the electronic component to the circuit board and comparing the quality characteristic value with a predetermined quality parameter value and then defining the grade of the solder joint layer according to a comparing result of the comparing step, manually inspecting the circuit board assembly having both an medium-grade solder layer a the poor solder joint layer.

Claim (Index 5):
The circuit board assembly inspection method as claimed in  claim 1 , wherein using a solder paste inspector (SPI) to measure at least one geometric parameter of said solder layer and using an automated optical inspector (AOI) to measure said at least one quality parameter of said solder joint layer.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 2.6
- Patent Class: 228.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10024101', '11483595', '10674080', '10694104', '14073230']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7874412066398961
- 35 USC 102 Novelty (BERT): 0.4702764686882404
- Combined Prediction Score: 0.7557247328447305
- Mean Citation Score: 181.484086
- Max Citation Score: 192.30328
- Similarity Product: 165.4910208407402

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

Dataset: test