PATENT CLAIM ANALYSIS

Application Number: 16058343
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Systems and methods for triggering changes to traffic signals based on the number and/or types of vehicles occupying a detection zone are disclosed. One aspect of the present disclosure includes a device with memory having computer-readable instructions stored therein and one or more processors. The one or more processors are configured to execute the computer-readable instructions to receive identification of zones and corresponding traffic light rules for a traffic intersection; and for each identified zone, detect a number of objects in the zone; based at least in part on the number of objects detected in the zone, determine if a corresponding condition is met; and upon determining that the corresponding condition is met for the zone, send a corresponding output signal to a traffic signal controller to change a traffic signal for the zone.

Claim (Index 15):
The one or more computer-readable medium of  claim 14 , wherein the execution of the computer-readable instructions by the one or more processors causes the one or more processors to detect the number of objects present by performing one or more of an image processing or a video processing on the traffic data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 1.90667
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16044891', '16030396', '16032886', '13468763', '11264339']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5945717313655751
- 35 USC 102 Novelty (BERT): 0.4668348215041266
- Combined Prediction Score: 0.5817980403794302
- Mean Citation Score: 177.77891599999995
- Max Citation Score: 194.90175
- Similarity Product: 150.35062045553326

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