PATENT CLAIM ANALYSIS

Application Number: 15869342
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "118000"]

Abstract:
Methods, systems, and devices for object recognition are described. Generally, the described techniques provide for a compact and efficient convolutional neural network (CNN) model for facial recognition. The proposed techniques relate to a light model with a set of layers of convolution and one fully connected layer for feature representation. A new building block of for each convolution layer is proposed. A maximum feature map (MFM) operation may be employed to reduce channels (e.g., by combining two or more channels via maximum feature selection within the channels). Depth-wise separable convolution may be employed for computation reduction (e.g., reduction of convolution computation). Batch normalization may be applied to normalize the output of the convolution layers and the fully connected layer (e.g., to prevent overfitting). The described techniques provide a compact and efficient CNN model which can be used for efficient and effective face recognition.

Claim (Index 6):
The apparatus of  claim 5 , wherein the instructions are further executable by the processor to cause the apparatus to:\n feed the plurality of output channels of the last iteration of the set of processing operations to a second fully connected layer to generate a second plurality of connected-layer output channels; divide the second plurality of connected-layer output channels into fourth channel groups, wherein each connected-layer output channel of the second plurality of connected-layer output channels is associated with a single channel group of the fourth channel groups; perform the feature selection operation for each fourth channel group to generate a second plurality of final channels, wherein each final channel of the second plurality of final channels is associated with a respective channel group of the fourth channel groups; and detect a feature of the object in the image based at least in part on the second plurality of final channels.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.03659
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15206150', '15224289', '15697015', '15698887', '15256874']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3084359606306914
- 35 USC 102 Novelty (BERT): 0.4995601315530985
- Combined Prediction Score: 0.3275483777229321
- Mean Citation Score: 178.74276799999996
- Max Citation Score: 205.69014
- Similarity Product: 140.6648782840884

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