PATENT CLAIM ANALYSIS

Application Number: 15763360
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["014", "071100"]

Abstract:
The present invention provides an improved method and apparatus for automatically aligning and connecting a passenger boarding bridge (PBB) with the passenger door of an aircraft or other vessel. A sensory suite module includes cameras and sensors to scan the apron for obstacles and identify an aircraft based on external features. The sensory suite module also includes one or more high-precision active laser line profilers to detect the vertical and lower edges of an aircraft door. A controller module provides precise control and movement of the distal end of the PBB and guides the distal end of the PBB to the passenger door. The system can be activated by a remote triggering panel module.

Claim (Index 28):
An aircraft passenger door detection system comprised of:\n a) a sensory suite module comprised of:\n one or more close range proximity sensors; \n a laser profiler for detecting a location of the vertical and horizontal gaps between an aircraft fuselage and the aircraft passenger door; and \n software filters to account for fog, rain or snow in the air, \n b) a controller module; and c) a triggering module;\n wherein said triggering module activates the sensory suite module to scan and locate the aircraft passenger door by identifying the vertical and horizontal gaps between the aircraft fuselage and the aircraft passenger door, and \n wherein said controller module activates and drives a distal end of a passenger boarding bridge into contact or substantially into contact with the aircraft passenger door.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 90.0
- Lexical Diversity: 1.68056
- Patent Class: 14.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10505092', '14379099', '10394242', '14428824', '11519968']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5966082894229233
- 35 USC 102 Novelty (BERT): 0.5596215190134719
- Combined Prediction Score: 0.5929096123819783
- Mean Citation Score: 208.581796
- Max Citation Score: 220.88838
- Similarity Product: 144.572512839092

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