PATENT CLAIM ANALYSIS

Application Number: 16268789
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["382", "110000"]

Abstract:
A method for identifying the presence of fruit in image data in an image sensor of a scene includes acquiring image data in an image sensor for at least two distinct wavelengths of a scene. A normalized difference reflectivity index (NDRI) for each location in an array of locations in the image data is calculated with respect to said at least two distinct wavelengths. Regions in the array of locations are identified where the value of the calculated NDRI of the locations in these regions is within a range of values indicative of a presence of fruits in the scene. An output is generated on an output device with information related to the identified presence of fruits.

Claim (Index 5):
The system according to  claim 2 , further comprising a vehicle configured to move through a geographical region with the image sensor mounted on the vehicle, and wherein the image sensor is configured to acquire image data of a plurality of scenes of the geographical region.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 99.0
- Lexical Diversity: 2.08475
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15353754', '15977771', '15868840', '14742074', '13907147']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2683998434281989
- 35 USC 102 Novelty (BERT): 0.5635184012821036
- Combined Prediction Score: 0.2979116992135893
- Mean Citation Score: 219.810102
- Max Citation Score: 458.16928
- Similarity Product: 317.4301844703674

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