PATENT CLAIM ANALYSIS

Application Number: 16038371
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["340", "932200"]

Abstract:
A method for detecting an unoccupied region within a parking facility, using at least one environment sensor disposed in a stationary manner within the parking facility, is furnished, at least encompassing the following: sensing measured data of at least one segment of the parking facility by way of at least one environment sensor; comparing the measured data with reference measured data in order to recognize a change in the segment of the parking facility; and detecting the segment as an unoccupied or non-unoccupied region as a function of the recognition of a change.

Claim (Index 24):
A non-transitory computer readable medium having a computer program, which is executable by a processor, comprising:\n a program code arrangement having program code for detecting an unoccupied region within a parking facility using at least one environment sensor disposed in a stationary manner within the parking facility, by performing the following:\n sensing measured data of at least one segment of the parking facility by at least one environment sensor; \n comparing the measured data with reference measured data to recognize a change in the segment of the parking facility; and \n detecting the segment as an unoccupied or non- unoccupied region as a function of the recognition of a change.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 2.0
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15423858', '14834652', '15759078', '15544311', '13755436']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6602326668482835
- 35 USC 102 Novelty (BERT): 0.4744984211682406
- Combined Prediction Score: 0.6416592422802792
- Mean Citation Score: 155.90485199999995
- Max Citation Score: 166.13081
- Similarity Product: 128.34473136148213

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

Dataset: test