Abstract: Smart glasses, method and device for automatic volume control, and smart glasses system are provided. The smart glasses include: a glasses body, and a wireless communication module, microphone(s) and speaker(s) provided on the glasses body. The wireless communication module has a processor connected to the microphone(s) and the speaker(s). The microphone(s) transmit a picked up audio signal to the processor. The processor determines whether the audio signal is a noise signal, calculates a noise level of the noise signal when the audio signal is the noise signal, and adjusts an output volume of the speaker(s) to an output volume corresponding to the noise level of the noise signal according to a preset corresponding relationship between noise levels and output volumes of the speaker(s). The present application can automatically adjust the output volume according to the noise level, and improve the intelligence of smart glasses and convenience of user action.

Abstract: Smart glasses include a frame, temples connected to the frame, at least one sound pickup device provided on at least one of the plurality of temples and a wireless communication module provided in a cavity of any one of the plurality of temples and electrically connected to the at least one sound pickup device. The wireless communication module is configured to control and switch the operation modes of the smart glasses, perform a first beamforming processing on voice data acquired by the at least one sound pickup device in the call mode so that sound beam pickup of the at least one sound pickup device is directed downward, and perform a second beamforming processing on the voice data in the hearing aid mode so that the sound beam pickup of the at least one sound pickup device is directed forward.

Abstract: Systems, apparatuses, and methods are taught that provide reconfigurable components for eyewear devices. A reconfigurable component for use in an eyewear device, includes a first temple. The first temple is configured for use with the eyewear device. The first temple further includes a first engagement portion. The first temple includes a first temple insert module (TIM). The first temple insert module is releasably couplable with the first engagement portion. The reconfigurable component can include at least one of a sensor and a display. The first temple insert module further includes a first wireless communication system. The first wireless communication system is configured to communicate wirelessly with a user device. The first temple insert module further includes a processor and a first speaker. The processor is configured to receive an input from at least one of the sensor and the first wireless communication system and to generate an output.

Abstract: Systems, apparatuses, and methods are taught that provide assistance to a user through an eyewear device. Data is received from a first sensor. The first sensor is incorporated into an eyewear device. The first sensor measures a parameter related to the user. A state of the user is analyzed using the data. Assistance is provided to the user. The assistance is in a form of feedback, and the feedback is related to the state of the user. The assistance can also be related to a context of the user and a state of the user. The context of the user is determined from the data.

Abstract: A behind the neck module assembly for an eyewear device, comprising an electronics pod having a wireless communication system and a processor, a left smart cord and a right smart chord, a left temple interlock, the left temple interlock containing a left speaker, and a right temple interlock, the right temple interlock containing a right speaker, wherein the left smart cord connects the electronics pod and the left temple interlock, the right smart cord connects the electronics pod and the right temple interlock, in operation when a left temple is coupled with the left temple interlock and a right temple is coupled with the right temple interlock, the wireless communication system receives data and provides an input signal to the processor, the processor provides an output to the right speaker and the left speaker such that a user can hear an audio signal from speakers on both sides.

Abstract: Smart glasses and position adjusting end piece thereof are provided. The smart glasses include: a wearing body provided with a connecting wire, wherein two ends of the connecting wire extend out of two sides of the wearing body respectively; position adjusting end pieces installed on the two sides of the wearing body, which can be rotated around a first direction relative to the wearing body within a first angle range and maintained at any position within the first angle range, and further can be rotated around a second direction relative to the wearing body within a second angle range and maintained at any position within the second angle range; and hinges installed on an end of the position adjusting end pieces away from the wearing body and are electrically connected to the connecting wire. The smart glasses can fine-tune the shape and adjust the size of the whole smart glasses.

Abstract: At least one aspect of the present disclosure is directed to systems and methods of pruning retrieval tokens from sets of retrieval tokens based on criteria. The system can receive a plurality of retrieval tokens including a second retrieval token. The system can retrieve an indication of a first token and a plurality of requests. The system can construct a first bit string based on the predicted requests and the first retrieval token. The system can retrieve a second bit string corresponding to the second retrieval token. The system can compare the first bit string to the second bit string to determine a similarity value. The system can determine the similarity value is greater than a predetermined threshold. The system can remove the first and second retrieval token from the plurality to create a pruned set of retrieval tokens.

Abstract: At least one aspect of the present disclosure is directed to systems and methods of pruning retrieval tokens from sets of retrieval tokens based on criteria. The system can receive a plurality of retrieval tokens including a second retrieval token. The system can retrieve an indication of a first token and a plurality of requests. The system can construct a first bit string based on the predicted requests and the first retrieval token. The system can retrieve a second bit string corresponding to the second retrieval token. The system can compare the first bit string to the second bit string to determine a similarity value. The system can determine the similarity value is greater than a predetermined threshold. The system can remove the first and second retrieval token from the plurality to create a pruned set of retrieval tokens. The system can provide the pruned set to a content provider.

Abstract: At least one aspect of the present disclosure is directed to systems and methods of secure and privacy preserving device classification. A server can maintain a plurality of data records, each including an indication of a request and a known classification value. The server can train a context obfuscation model using each of the plurality of requests and known classification values. The server can train a classification model using resources and category information from a data structure in the memory of the client device. The server can transmit the context obfuscation model to a different plurality of client devices. The server can receive a request for classification including a classification vector and request metadata. The server can determine the classification of the device responsible for the request using the classification model. The server can transmit the device classification to the device responsible for the request.

Abstract: At least one aspect of the present disclosure is directed to systems and methods of pruning retrieval tokens from sets of retrieval tokens based on criteria. The system can receive a plurality of retrieval tokens including a second retrieval token. The system can retrieve an indication of a first token and a plurality of requests. The system can construct a first bit string based on the predicted requests and the first retrieval token. The system can retrieve a second bit string corresponding to the second retrieval token. The system can compare the first bit string to the second bit string to determine a similarity value. The system can determine the similarity value is greater than a predetermined threshold. The system can remove the first and second retrieval token from the plurality to create a pruned set of retrieval tokens. The system can provide the pruned set to a content provider.