PATENT CLAIM ANALYSIS

Application Number: 16401017
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["725", "141000"]

Abstract:
Disclosed are systems and methods for improving image recognition by using information from sensor data. In one embodiment, the method comprises receiving one or more sensor records, the sensor records representing timestamped sensor data collected by a sensor recording device; selecting an event based on the sensor records; identifying a time associated with the event; retrieving a plurality of timestamped video frames; synchronizing the sensor records and the video frames, wherein synchronizing the sensor records and the video frames comprises synchronizing the timestamped sensor data with individual frames of the timestamped video frames according to a common timeframe; and selecting a subset of video frames from the plurality of timestamped video frames based on the selected event.

Claim (Index 8):
The method of  claim 1  further comprising calibrating one or more cameras after synchronizing the sensor records and the video frames, wherein the calibration comprises:\n identifying one or more unknown parameters of the operational cameras, the unknown parameters relating to the field of view of the operational cameras; \n determining a three-dimensional position of a participant appearing in the subset of video frames based on the sensor record data; \n determining a two-dimensional position of one or more pixels containing the participant, and \n utilizing camera calibration algorithm to generate the unknown parameters of the operational cameras based on the correspondence between the three-dimensional position and the two dimensional position.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 100.0
- Lexical Diversity: 2.22807
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15334131', '14801568', '10869020', '15986391', '13734818']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4464003878478348
- 35 USC 102 Novelty (BERT): 0.6421951515391624
- Combined Prediction Score: 0.4659798642169676
- Mean Citation Score: 217.28603200000003
- Max Citation Score: 414.56354
- Similarity Product: 404.5544439874935

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