PATENT CLAIM ANALYSIS

Application Number: 15754645
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["340", "684000"]

Abstract:
The seed counting sensor ( 200 ) for pneumatic seeding machines comprises a detection chamber ( 210 ) within a house ( 204 ), said detection chamber allowing the seeds to pass through the sensor and having a center axis ( 211 ) extending in the flow direction of the seeds ( 102 ); a plurality of light sources ( 240 ) arranged within the house ( 204 ), outside the detection chamber ( 210 ), at predetermined distances from each other, said light sources being in a plane (P) extending substantially perpendicularly to said center axis of the sensor; a plurality of light detectors ( 250 ) arranged within the house ( 204 ), outside the detection chamber ( 210 ) at predetermined distances from each other, said light detectors being in the same plane (P) as the light sources, wherein the number of the light detectors equals to the number of the light sources, and a signal processing unit ( 502 ) for controlling operation of the light sources ( 240 ) and for processing the electronic signals produced by the light detectors ( 250 ).

Claim (Index 2):
The seed counting sensor according to  claim 1 , wherein the light sources ( 240 ) are LEDs and the light detectors ( 250 ) are photodetectors.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 88.0
- Lexical Diversity: 2.74324
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14424131', '14991210', '13046549', '15689318', '10567194']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6858083916824701
- 35 USC 102 Novelty (BERT): 0.4984229979405471
- Combined Prediction Score: 0.6670698523082779
- Mean Citation Score: 165.238572
- Max Citation Score: 172.1179
- Similarity Product: 110.97607305068968

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