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wireless alarm systems

In some implementations, the IR illuminators 1105 include IR LEDs having a wavelength of 850 nanometers. In some implementations, the image sensor for the doorbell camera 106 is less sensitive to 940 nm light than it is to 850 nm light. Therefore, IR LEDs having a 940 nm wavelength cause less interference with the image sensor than IR LEDs having an 850 nm wavelength. Further, in some implementations, a heat spreader 1128 is coupled to the IR illuminators 1105 to dissipate heat generated therefrom. The doorbell camera 106 may further include a speaker 1106 contained within a speaker box 1136 that is further disposed in proximity to speaker holes 718. When the speaker holes 718 are located on a bottom rim surface of the device housing 702, the speaker 1106 is placed behind the button assembly 1102 and faces the speaker holes 718. Given that the doorbell camera 106 includes both the microphone 1104 and the speaker 1106, a remote user may review live video streams captured by the camera module of the doorbell camera 106, and have a conversation in real time with the visitor. It is also desirable that the doorbell camera 106 can provide dynamic audio feedback to a user via the microphone 1104 and the speaker 1106. The feedback may concern an operational status of the doorbell camera 106 itself, a status of the outdoor environment surrounding the doorbell camera 106, the operational status of another electronic device associated with the doorbell camera 106, and/or the operational status of a set of electronic devices 106 associated with the doorbell camera. For ease of references, the speaker 1106 and the speaker box 1136 are collectively called the speaker 1106 in this application. In some implementations, the lens assembly 704 includes a cover glass 705, a camera lens structure 1132 and an infrared filter 1134.

 

Blandit Etiam

g. , from video and source data database 509. In some implementations, the event identification process includes segmenting the video stream into multiple segments then categorizing the event candidate within each segment. In some implementations, categorizing the event candidate includes an aggregation of background factors, entity detection and identification, motion vector generation for each motion entity, entity features, and scene features to generate motion features for the event candidate. In some implementations, the event identification process further includes categorizing each segment, generating or updating an event log based on categorization of a segment, generating an alert for the event based on categorization of a segment, categorizing the complete event, updating the event log based on the complete event, and generating an alert for the event based on the complete event. In some implementations, a categorization is based on a determination that the event occurred within a particular zone of interest. In some implementations, a categorization is based on a determination that the event candidate involves one or more zones of interest. In some implementations, a categorization is based on audio data and/or audio event characterization. In some implementations, the video source 501 e. g. , the camera 118 or 106 transmits a live video feed to the remote server system 164 via one or more networks e.