PATENT CLAIM ANALYSIS

Application Number: 15934777
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["348", "374000"]

Abstract:
A self-aligning lens holder includes elements that register against an image sensor chip to align the holder and lens with the chip. The elements may deflect or deform. A corresponding method aligns the lens holder and a fisheye lens to the image sensor.

Claim (Index 16):
A camera assembly comprising:\n a circuit board having at least a pair of though-holes; a solid state image sensor mounted to a circuit board between the through-holes; a lens holder including a base, a shaft extending upwardly from the base, and shoulders proximate the shaft; the lens holder base including registration elements that register the lens holder relative to the image sensor upon engaging the lens holder with the image sensor, thereby aligning the lens holder with the image sensor; a lens mounted in a bore of the shaft of the lens holder; and a spring bracket including:\n a pair of opposing, resilient legs located in the through-holes in the circuit board; \n v-spring portions extending inwardly from the legs and engaged with the shoulders of the lens holder; and \n a top plate extending from the v-spring portions and adapted for transmitting an upward force from the v-spring portions to the lens.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 90.0
- Lexical Diversity: 1.58621
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12423076', '15896659', '14053271', '12563342', '14302307']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5919571199406674
- 35 USC 102 Novelty (BERT): 0.458836292261116
- Combined Prediction Score: 0.5786450371727123
- Mean Citation Score: 130.56203
- Max Citation Score: 140.82372
- Similarity Product: 108.18275145472528

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