PATENT CLAIM ANALYSIS

Application Number: 16166945
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["246", "121000"]

Abstract:
The present disclosure relates generally to vegetation detection and, in particular, to a vegetation detection and alert system for a railway vehicle

Claim (Index 4):
A method comprising detecting objects, optionally vegetation, using an acquisition device of  claim 3  mountable to a railway vehicle, the acquisition device including one or more imaging sensors and a geospatial position sensor, the method comprising:\n capturing, by the imaging sensor, images of an environment occupied by the railway vehicle including a volume clearance zone around a railroad track on which a railway vehicle moves, the imaging sensor capturing a plurality of images from the railway vehicle as the railway vehicle moves on the railroad track; \n determining, by the geospatial positioning sensor, a geolocation of the geospatial positioning sensor and thereby contributing to localization of the environment imaged by the imaging sensor; \n referencing the images captured by the imaging sensor to the geolocation determined by the geospatial position sensor and image object geometry to form geospatial images of the environment including the clearance zone; and for one or more geospatial images of the geospatial images, \n processing the one or more geospatial images to produce a geometric computer model of the environment in which objects in the environment are represented by a collection of geometry and images; \n detecting objects in the clearance zone based on the geometric computer model and images; and \n optionally uploading the one or more geospatial images to a desired format, and/or to an environment model, and a notification of detected object can optionally be generated.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 97.0
- Lexical Diversity: 1.33333
- Patent Class: 246.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14982212', '16039106', '14982312', '14555501', '15790968']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6339107833469261
- 35 USC 102 Novelty (BERT): 0.4578522188554154
- Combined Prediction Score: 0.616304926897775
- Mean Citation Score: 176.29339399999995
- Max Citation Score: 211.35211
- Similarity Product: 142.44413416958034

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

Dataset: test