PATENT CLAIM ANALYSIS

Application Number: 15954057
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["134", "032000"]

Abstract:
Vehicle undercarriage cleaners clean the undercarriage of vehicles. Dirt, mud, Salt, chemicals, Snow and other materials accumulate on the undersides of vehicles. This vehicle undercarriage cleaner removes these materials without requiring the user to manipulate it during use. A sensor at the front of the system is used to tell when a vehicle is passing over. As the vehicle passes over a row of nozzles, aiming upwards, connected to a water pump, is activated removing any debris from the undercarriage.

Claim (Index 1):
An automated apparatus for cleaning the undercarriage of a vehicle comprising:\n a trapezoidal shaped housing further comprising, an entry port for receiving fluid, a slanted leading and trailing edge capable of receiving a motor vehicle such that the entirety of the vehicle is able to pass over the housing, a plurality of nozzles adapted to direct fluid at an undercarriage of a vehicle, a hollow tube that allows internal fluid communication between the entry port and the nozzles, at least one sensor in a position that allows it to determine when a vehicle is in contact with the housing, a computer control system coupled to said sensor used to activate or deactivate the flow of fluid through the tube.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 1.55932
- Patent Class: 134.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14692433', '15647487', '11371484', '14092738', '14590954']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7644048558568873
- 35 USC 102 Novelty (BERT): 0.4600633740300071
- Combined Prediction Score: 0.7339707076741994
- Mean Citation Score: 82.368015
- Max Citation Score: 86.972015
- Similarity Product: 62.481431827629216

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