PATENT CLAIM ANALYSIS

Application Number: 15879851
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "110000"]

Abstract:
Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for estimating the shape, size, and mass of fish are described. A pair of stereo cameras may be utilized to obtain right and left images of fish in a defined area. The right and left images may be processed, enhanced, and combined. Object detection may be used to detect and track a fish in images. A pose estimator may be used to determine key points and features of the detected fish. Based on the key points, a three-dimensional (3-D) model of the fish is generated that provides an estimate of the size and shape of the fish. A regression model or neural network model can be applied to the 3-D model to determine a likely weight of the fish.

Claim (Index 3):
The computer-implemented method of  claim 2 , wherein:\n the one or more key points associated with the one or more features of the fish are determined for each of the one or more regions of interest using pose estimation; the one or more images are obtained using one or more image acquisition devices that include a left camera and a right camera; and the one or more images include a left image and a right image.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 1.96053
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14226732', '15444601', '12469638', '14712699', '11723532']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3190239579707882
- 35 USC 102 Novelty (BERT): 0.4915572113059765
- Combined Prediction Score: 0.336277283304307
- Mean Citation Score: 139.94048999999998
- Max Citation Score: 145.82591000000005
- Similarity Product: 88.5121368999529

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