PATENT CLAIM ANALYSIS

Application Number: 16297559
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["340", "932200"]

Abstract:
A system and method for identifying a potential parking violation for a location includes storing and rating parking violation related data, and notifying a user, by a computing system communicating with a user's computing device, of the potential parking violation and how to avoid receiving the potential parking violation citation. The data is stored in a database and clustered by data types. The user's computing device is used to identify user type, location, and time. A user engagement panel is used to share and rate parking violation related data and notifications, and rewards are allocated to a user for contributing useful data. Highly rated data may be incorporated into the notifications. The data is analyzed to predict or infer a violation. A notification corresponding to a current location and user type are generated when violations are predicted.

Claim (Index 33):
The system according to  claim 31 , wherein the parking violation data comprises at least one of:\n parking rules, parking regulations, parking violation records, parking violation codes, parking violation statutory codes, one or more abbreviations used by parking enforcement personnel, associated fines or other penalties, a preference for the notification, parking signage with one or more locations, parking meter locations and associated parking meter costs, street view with one or more photos or videos for one or more locations with a predetermined number of parking violation citations, notice of one or more temporary or permanent parking prohibitions, tow away zone relevant data, street cleaning relevant data, or weather relevant data or shared parking violation data.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 99.0
- Lexical Diversity: 2.14085
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15973217', '15382240', '15617881', '14832584', '16272912']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7901356597093456
- 35 USC 102 Novelty (BERT): 0.582985907048336
- Combined Prediction Score: 0.7694206844432446
- Mean Citation Score: 420.15322
- Max Citation Score: 502.59326
- Similarity Product: 384.0908022777438

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

Dataset: test