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 13):
The system of  claim 9 , wherein the operations further comprise:\n obtaining one or more secondary images of the fish; determining a likely secondary weight of the fish based on the obtained one or more secondary images of the fish; and determining an average likely weight based on the determined likely weight of the fish using the model of the fish and the determined likely secondary weight of the fish based on the obtained one or more secondary images of the fish.

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): 0.3173884743710667
- 35 USC 102 Novelty (BERT): 0.4985725126565678
- Combined Prediction Score: 0.3355068781996169
- Mean Citation Score: 139.94048999999998
- Max Citation Score: 145.82591000000005
- Similarity Product: 82.68722429883125

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