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 21):
A method of improving performance of video analytics for a camera system in response to a detection preference of a system user, comprising:\n receiving image data representing multiple images of a scene of a field of view of the camera system, the multiple images including representations of multiple objects, a first set of the multiple objects having members of an object class, and a second set of the multiple objects not having members of the object class; using video analytics implemented with a general classifier that performs general classifier steps in analyzing the received image data to produce a general classification determination classifying the multiple objects as either members or non-members of the object class; generating mistake metadata in response to acknowledgement by the system user that the general classification determination resulted in a mistaken classification determination based on the detection preference of the system user; and improving video analytics performance based on the mistake metadata by performing a specialization step in addition to the general classification steps performed, the specialization step producing for presentation to the system user a specialized classification determination of the multiple objects classified by the general classifier so as to reduce a number of future mistaken classification determinations.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 98.0
- Lexical Diversity: 2.18182
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14562572', '15605818', '12397287', '14562552', '12397276']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3280908001981349
- 35 USC 102 Novelty (BERT): 0.5270001907449618
- Combined Prediction Score: 0.3479817392528176
- Mean Citation Score: 300.724326
- Max Citation Score: 346.4312
- Similarity Product: 324.9452259274483

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