An access point is configured to communicate with a wireless client device over a plurality of wireless communication channels. The wireless client device has an active operation state and a standby operation state. The access point detects a property of each of a first wireless communication channel and a second wireless communication channel, and applies a policy to the detected properties to select one of the first wireless communication channel and the second wireless communication channel. While the wireless client device is in the active operation state, the access point steers the client device to communicate with the access point over the selected channel.

Adjusting communication channels used by camera to communicate with a base station are described. In one aspect, characteristics of communication channels can be determined and the operation of the camera can be adjusted to use a communication channel based on a comparison of the characteristics of multiple communication channels.

The disclosure is related to adaptive transcoding of video streams from a camera. A camera system includes a camera and a base station connected to each other in a first communication network, which can be a wireless network. When a user requests to view a video from the camera, the base station obtains a video stream from the camera, transcodes the video stream, based on one or more input parameters, to generate a transcoded video stream, and transmits the transcoded video stream to a user device. The base station can transcode the video stream locally, e.g., within the base station, or in a cloud network based on transcoding location factors. Further, the camera system can also determine whether to stream the video to the user directly from the base station or from the cloud network based on streaming location factors.

The disclosure is related to adaptive transcoding of video streams from a camera. A camera system includes a camera and a base station connected to each other in a first communication network, which can be a wireless network. When a user requests to view a video from the camera, the base station obtains a video stream from the camera, transcodes the video stream, based on one or more input parameters, to generate a transcoded video stream, and transmits the transcoded video stream to a user device. The base station can transcode the video stream locally, e.g., within the base station, or in a cloud network based on transcoding location factors. Further, the camera system can also determine whether to stream the video to the user directly from the base station or from the cloud network based on streaming location factors.

There is provided a method for determining presence of a person comprising a) receiving IR sensor data (50) during a first time period from a thermopile and using the IR sensor data to determine an IR background signal baseline (51) for the time period, and determining a variability of the IR sensor data (50), b) using the IR background signal baseline (51) and the variability of the IR background signal level to determine a threshold (52) with a value higher than the background signal baseline (51), and in such a way so that greater variability in the IR background signal (50) results in a higher threshold (52), then c) receiving further IR sensor data (50) during a second time period, which is after the first time period, and using the further IR sensor data (50), and the threshold (52) determined in step b) to determine that a person is present when the further IR sensor data (50) comprises a value that is higher than the threshold.

Techniques for modifying operation of sensors using collected sensor data are provided herein. Sensor data describing a physical environment of a user authorized to access an access-controlled resource is collected according to an initial mode of operation. The initial mode of operation defines an initial performance for at least one sensor used to collect the sensor data. In response to detecting presence of a different user in the physical environment of the authorized user based on the sensor data, the at least one sensor is switched from the initial mode of operation to a modified mode of operation. The modified mode of operation is different than the initial mode of operation and defines a revised performance for the at least one sensor used to collect the sensor data.

Techniques for modifying operation of sensors using collected sensor data are provided herein. Sensor data describing a physical environment of a user authorized to access an access-controlled resource is collected according to an initial mode of operation. The initial mode of operation defines an initial performance for at least one sensor used to collect the sensor data. In response to detecting presence of a different user in the physical environment of the authorized user based on the sensor data, the at least one sensor is switched from the initial mode of operation to a modified mode of operation. The modified mode of operation is different than the initial mode of operation and defines a revised performance for the at least one sensor used to collect the sensor data.

A method includes detecting, with a passive infrared sensor (PIR), a level of infrared radiation in a field of view (FOV) of the PIR, generating a signal based on detected levels over a period of time, the signal having values that exhibit a change in the detected levels, extracting a local feature from a sample of the signal, wherein the local feature indicates a probability that a human in the FOV caused the change in the detected levels, extracting a global feature from the sample of the signal, wherein the global feature indicates a probability that an environmental radiation source caused the change in the detected levels, determining a score based on the local feature and the global feature, and determining that a human motion has been detected in the FOV based on the score.

A method includes detecting, with a passive infrared sensor (PIR), a level of infrared radiation in a field of view (FOV) of the PIR, generating a signal based on detected levels over a period of time, the signal having values that exhibit a change in the detected levels, extracting a local feature from a sample of the signal, wherein the local feature indicates a probability that a human in the FOV caused the change in the detected levels, extracting a global feature from the sample of the signal, wherein the global feature indicates a probability that an environmental radiation source caused the change in the detected levels, determining a score based on the local feature and the global feature, and determining that a human motion has been detected in the FOV based on the score.

Use of multiple sensors to determine whether motion of an object is occurring in an area is described. In one aspect, an infrared (IR) sensor can be supplemented with a radar sensor to determine whether the determined motion of an object is not a false positive.