PATENT CLAIM ANALYSIS

Application Number: 16183669
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["382", "226000"]

Abstract:
A camera system comprises an image capturing device, and connected to it are an object classification module and a calibration module. The object classification module is operable to determine whether or not an object in an image is a member of an object class, and the calibration module is operable to estimate representative sizes of the object. The object classification module may determine a confidence parameter that is used by the calibration module, or conversely, the calibration module may produce a size that is used by the classification module.

Claim (Index 20):
The method according to  claim 13 , wherein:\n the image data represents multiple images of the scene, the first object is detected in the multiple images, multiple images of the first object are detected in different locations of the image plane, the multiple images of the first object having different sizes corresponding to the different locations; the first object is classified in the multiple images as the first member of the object class; and the parameter of the size function is calculated based on the different sizes of the first object, the size function being used to estimate representative sizes of the object class for the image plane.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 98.0
- Lexical Diversity: 2.18182
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14562572', '15605818', '12397287', '14562552', '12397276']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3551575443938217
- 35 USC 102 Novelty (BERT): 0.5314733353921636
- Combined Prediction Score: 0.3727891234936559
- Mean Citation Score: 300.724326
- Max Citation Score: 346.4312
- Similarity Product: 286.60965982933044

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