PATENT CLAIM ANALYSIS

Application Number: 15902571
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-06
Patent Classification: ["073", "821000"]

Abstract:
A detecting machine for a yield rate of bristles of a toothbrush and a detecting method for the bristles are provided. The detecting machine includes a power device and two rotating units, and the two rotating units are rotatably mounted on a side surface of the power unit. The two rotating units are disposed parallel to each other. When in a rotating condition, the two rotating units rotate in opposite rotating directions. When a manufacturer horizontally disposes a toothbrush between the two rotating units, the surfaces of the two rotating units may compress the bristles and pull the bristles toward a direction away from the toothbrush. Therefore the manufacturer can inspect whether the bristles are firmly mounted on the toothbrush.

Claim (Index 1):
A detecting machine for a yield rate of bristles of a toothbrush, and the detecting machine comprising:\n a power device; and two rotating units rotatably mounted on a side surface of the power device, disposed parallel to each other, and being capable of being driven by the power device to rotate respectively; wherein when each one of the two rotating units is in a rotating condition, the two rotating units rotate in opposite rotating directions, a tuft of the bristles of the toothbrush is moved to a position between the two rotating units, and surfaces of the two rotating units jointly compress the tuft of bristles.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.22414
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12194056', '10970722', '13401668', '12198474', '13138943']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7095663762181508
- 35 USC 102 Novelty (BERT): 0.4578922552101538
- Combined Prediction Score: 0.6843989641173511
- Mean Citation Score: 149.89310600000005
- Max Citation Score: 150.91142
- Similarity Product: 117.51430809070108

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