PATENT CLAIM ANALYSIS

Application Number: 15891982
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["382", "100000"]

Abstract:
Systems, methods, and devices for object detection, including manufacturing part detection, are disclosed. A method for identifying a manufacturing part includes receiving an image comprising a manufacturing part from an augmented reality device and determining a bounding perimeter encapsulating the manufacturing part. The method includes receiving a prediction label and a confidence value for the manufacturing part from a neural network. The method includes generating a message comprising the image, the prediction label, and the confidence value, and providing the message to the augmented reality device.

Claim (Index 10):
A manufacturing part identification system comprising:\n an augmented reality device comprising a camera; a server in communication with the augmented reality device comprising computer readable storage media storing instructions that, when executed by one or more processors cause the one or more processors to:\n receive an image comprising a manufacturing part from the augmented reality device; \n determine a contour outline of the manufacturing part based on the image; and \n determine a bounding perimeter encapsulating the manufacturing part; and \n a neural network in communication with the server, wherein the neural network is configured to:\n determine a prediction label for the manufacturing part; and \n determine a confidence value comprising a statistical likelihood that the prediction label is correct.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 2.25581
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15852650', '15635485', '15882309', '14997051', '15271476']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2556712721260421
- 35 USC 102 Novelty (BERT): 0.4767535928455598
- Combined Prediction Score: 0.2777795041979939
- Mean Citation Score: 132.5075808
- Max Citation Score: 141.55338999999995
- Similarity Product: 100.86296305943844

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test