The various implementations described herein include methods, devices, and systems for detecting motion and persons. In one aspect, a method is performed at a smart home system that includes a video camera, a server system, and a client device. The video camera captures video and audio, and wirelessly communicates, via the server system, the captured data to the client device. The server system: (1) receives and stores the captured data from the video camera; (2) determines whether an event has occurred, including detected motion; (3) in accordance with a determination that the event has occurred, identifies video and audio corresponding to the event; and (4) classifies the event. The client device receives information indicative of the identified events, displays a user interface for reviewing the video and audio stored by the remote server system, and displays the at least one classification for the event.

This document describes techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition. The techniques described herein enable an electronic device (e.g., security camera) to determine the likelihood of an event of interest (e.g., latency-critical event) occurring in data (e.g., audio and/or video) captured by the electronic device. To make such a determination, the electronic device may switch upload modes to upload the data, using a different batch size to reduce latency, to another device for user access, based on the likelihood of an event of interest occurring in the data. In this way, the techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition provide an efficient way to provide all-day security monitoring.

The disclosure includes a doorbell having a visitor detection system that can comprise at least one of a camera, a microphone, and a motion detector. The method for using the doorbell can comprise recording, via the camera, video data that represents a video. The method can also comprise recording, via the microphone, audio data that represents audio. The method of using the doorbell can comprise transmitting at least a portion of the video data and at least a portion of the audio data, to a remote computing device that is communicatively coupled to the doorbell. The method can also comprise transmitting the video data and the audio data to a remote server that is communicatively coupled to the doorbell.

A search device includes: a storage unit configured to store a video obtained from a camera; a screen unit to display the video; and a control unit to control operation of the storage unit and the screen unit, wherein the screen unit may display a time control interface for receiving a time condition, wherein the search device may search for videos and events stored in the storage unit in response to the time condition, and wherein the time control interface may include an AM control interface for receiving a morning time as the time condition and a PM control interface for receiving an afternoon time as the time condition.

A data logging system for logging input data received from a data source is described. The data logging system has a data storage memory. A data input is arranged to repeatedly receive input data having a temporal input data resolution. A write controller is arranged to write newly received input data as received via the data input into the data storage memory. The writing comprises writing the newly received input data at the temporal input data resolution. The writing comprises keeping recent data at the temporal input data resolution in the data storage memory, and overwriting part of old data with newly received input data while keeping another part of the old data in the data storage memory at lower data resolution.

Provided is a safety scanner that enables simplification of an operation of checking an operating state. The safety scanner includes a scan image generation section that generates a scan image that includes a plurality of sets of distance measurement information obtained by performing scanning with a detection light emitted by an emitter, the plurality of sets of distance measurement information being represented as a plurality of distance measurement positions on a scanning plane of the detection light, and a monitoring image display that displays the scan image on a screen.

An intelligent door lock system is coupled to a door at a dwelling. A sensor is at the dwelling. The sensor being is coupled to a drive shaft of a lock device to assist in locking and unlocking a lock of a lock device at a door. The lock device is coupled to the sensor and includes a bolt. An engine, an energy source and a memory are coupled together. A camera is coupled to the intelligent door lock system with a wide field of view.

A video recording apparatus includes a recording device having a location information area and a video data area. The location information area stores location information of video data stored in the video data area. The video data area stores the video data in units of blocks with a size of 1 MB or greater. The tail end of the block is used as a table of contents region for storing table of contents information of a plurality of the most-recent blocks. By providing the table of contents regions at a predetermined frequency, the tables of contents of all blocks being used in the video data area are retained in a distributed and redundant manner. Whenever the power supply is re-activated, the tables of contents regions are read, and pieces of the table of contents information are joined appropriately to construct a complete table of contents in memory.

An autonomous wireless intrusion detector device comprises a movement sensor and a digital camera. In response to detecting a potential movement within a monitored area, the digital camera is triggered to create and store a set of consecutive full-size digital images of the monitored area, and a set of reduced-size thumbnail images corresponding to the set of full-size digital images, and a set of reduced-size thumbnail images corresponding to the set of full-size digital images, for the new alarm event. The detector device sends notification of the new alarm event and reduced-size image-related event information to an intrusion detection network entity, and sends the set of full-size images only if requested by the network entity. The network entity prefilters the new event based on the received reduced-size image-related event information, and request thumbnail images and/or full size digital images from the detector device for a further event analysis only if the prefiltering results in a judgement that the new alarm is a true alarm based on the received reduced-size image-related event information.

Systems and methods of non-line-of-sight passive detection and integrated early warning of an unmanned aerial system by a plurality of acoustic sensors are described. In some embodiments, the plurality of acoustic sensors is positioned within an intra-netted array in depth according to at least one of a terrain, terrain features, or man-made objects or structures. The acoustic sensors are capable of detecting and tracking unmanned aerial systems in non-line-of-sight environments. In some embodiments, the acoustic sensors may be in communication with internal electro-optical components or other external sensors, with orthogonal signal data then transmitted to remote observation stations for correlation, threat determination and if required, mitigation. The unmanned aerial systems may be classified by type and a threat level associated with the unmanned aerial system may be determined.