PATENT CLAIM ANALYSIS

Application Number: 15997836
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["250", "340000"]

Abstract:
An infrared sensor assembly for sensing infrared radiation comprises infrared sensing elements and the infrared sensing compensation elements that are different so that, for a same flux on the infrared sensing elements and the infrared sensing compensation elements, the radiation responsive element of the infrared sensing elements absorbs more radiation than the radiation responsive element of the infrared sensing compensation elements, as to receive substantially more radiation than the radiation responsive element of the infrared sensing compensation elements. An output of the sensor array is a subtractive function of a sum of the signals of the plurality of infrared sensing elements and a sum of the signals of the plurality of the infrared sensing compensation elements such that at least linear and/or non-linear parasitic thermal fluxes are at least partly compensated for.

Claim (Index 3):
The infrared sensor assembly according to  claim 1 , wherein an absorption coefficient of the radiation responsive element of the infrared sensing compensation element is substantially smaller than an absorption coefficient of the radiation responsive element of the infrared sensing element.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 94.0
- Lexical Diversity: 2.68627
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15211123', '14726536', '11225140', '13470996', '15004183']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7282705875077674
- 35 USC 102 Novelty (BERT): 0.5330810590133805
- Combined Prediction Score: 0.7087516346583287
- Mean Citation Score: 204.600746
- Max Citation Score: 368.6721
- Similarity Product: 280.52489383964536

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