PATENT CLAIM ANALYSIS

Application Number: 16002253
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["348", "218100"]

Abstract:
An image sensor for acquiring an image of an object comprises: an array of photo-sensitive areas ( 112 ); and a mosaic filter ( 114 ) associated with the array dividing the array into sub-groups ( 118 ) of photo-sensitive areas ( 112 ) extending across at least two rows and two columns, wherein the mosaic filter ( 114 ) transmits unique light properties to the photo-sensitive areas ( 112 ) within the sub-group ( 118 ); wherein the mosaic filter ( 114 ) comprises a sequence of unique filter portions associated with a set of photo-sensitive areas ( 112 ) along a row, wherein the set extends through more than one sub-group ( 118 ); wherein sequences comprising the unique filter portions are associated with each row and wherein the sequences associated with adjacent rows comprise different orders of the unique filter portions, such that different light properties are transmitted to photo-sensitive areas ( 112 ) in the same column of adjacent rows.

Claim (Index 12):
The image sensor according to  claim 9 , further comprising at least one high spatial resolution region in the array of photo-sensitive areas, said photo-sensitive areas in the high spatial resolution regions being arranged to receive a common light property for imaging an object in high spatial resolution with the common light property.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 94.0
- Lexical Diversity: 2.45714
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13730488', '10999843', '12565062', '10999875', '10997383']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6006236273384099
- 35 USC 102 Novelty (BERT): 0.4746159770076196
- Combined Prediction Score: 0.5880228623053309
- Mean Citation Score: 158.581334
- Max Citation Score: 168.71448
- Similarity Product: 122.10435876201151

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

Dataset: test