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 3):
An acquisition device mountable to a railway vehicle for detecting objects, optionally vegetation, the acquisition device comprising:\n an imaging sensor configured to capture images of an environment of the railway vehicle including a volumetric clearance zone around a railroad track on which the railway vehicle moves, the imaging sensor being configured to capture images from the railway vehicle as the railway vehicle moves on the railroad track; a geospatial position sensor configured to determine a geolocation of the geospatial position sensor and together with computer vision as needed to thereby contribute to accurate localization of the environment and objects imaged by the imaging sensor; and a processor coupled to the imaging sensor and geospatial position sensor, and programmed to at least:\n reference the images captured by the imaging sensor to the geolocation determined by the geospatial position sensor, the geometric parameters of the imaging sensors and object properties in the images to form geospatially referenced images of the environment including the clearance zone; and for one or more geospatial images of the geospatial images, \n process the one or more geospatially referenced images to produce a localized geometric computer model of the volumetric environment in which objects in the environment are represented by a collection of geometry and plurality of image pixels and whole images; \n detect and localize objects in the clearance zone based on the geometric computer model and the plurality of image pixels and whole images; and \n upload the one or more geospatial images and a notification of detected and localized objects from which an alert 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): 0.6332056158257701
- 35 USC 102 Novelty (BERT): 0.4609212722587268
- Combined Prediction Score: 0.6159771814690658
- Mean Citation Score: 176.29339399999995
- Max Citation Score: 211.35211
- Similarity Product: 137.20952995945692

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