PATENT CLAIM ANALYSIS

Application Number: 15946237
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["382", "106000"]

Abstract:
A site measuring device ( 4 ) for determining a geometric measurement variable of an object ( 1 ) based on a three-dimensional model ( 11 ) which is stored in a model memory ( 13 ) and has a gravity vector (g). The site measuring device ( 4 ) has a marking unit ( 14 ) that marks a first feature (P 0 ) and a second feature (P 1 ) in the model ( 11 ) and a fitting unit ( 15 ) that determines a first auxiliary geometry (L 0 ), which contains at least the first marked point feature (P 0 ) and extends parallel to the gravity vector (g), and determines a second auxiliary geometry (E 1 ), which contains at least the second marked feature (P 1 ) and extends perpendicular to the gravity vector (g) and for forming the point of intersection (P 2 ) of the auxiliary geometries (L 0 , E 1 ). A calculation unit ( 17 ) calculates the geometric measurement variable with the aid of the point of intersection (P 2 ).

Claim (Index 6):
The method as claimed in  claim 1 , further comprising:\n in a recording step, recording a plurality of visual images of the object ( 1 ) from different positions using an image recording unit ( 7 ), and at a same time storing an alignment of the image recording unit with respect to the gravity vector (g) for each said visual image, in a modeling step, creating a three-dimensional model ( 11 ) of the recorded object ( 1 ) from the individual visual images, and determining the gravity vector (g) from an individual alignments of the images.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.84722
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13580024', '12375572', '15780138', '11647275', '15555123']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.311280089322703
- 35 USC 102 Novelty (BERT): 0.476699234742964
- Combined Prediction Score: 0.3278220038647291
- Mean Citation Score: 144.44484200000005
- Max Citation Score: 152.76317
- Similarity Product: 104.7921549160975

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