Patent ID: 11928602
Assignee: NEURALA, INC.
Field: nan (nan)
Classification: CPC nan | IPC G

Claim 4:
5. An apparatus comprising:
a sensor to collect a data stream representing an object in an environment; and
at least one processor operably coupled to the sensor, the at least one processor executing:
a pre-trained deep neural network, the pre-trained deep neural network including a stack of convolutional layers to extract features of the object from the data stream and to generate a convolutional output based on the extracted features; and
a one-shot learning classifier operating in real-time to:
determine activations across a plurality of categories of known objects in the one-shot learning classifier based on the convolutional output;
determine a distribution of the activations;
compare the distribution of the activations to a threshold based at least in part on the activations in the distribution of activations;
in response to determining that the distribution indicates that no activation is a single winning activation, classify the object as belonging to a first category in the plurality of categories, the first category representing previously unlabeled objects;
in response to a label from a user, add a new category to the plurality of categories, the new category representing the object; and
in response to determining a winning activation based on the distribution, classify the object as belonging to a second category in the plurality of categories, the winning activation corresponding to the second category.