Patent Publication Number: US-2023139436-A1

Title: Systems and methods for enhanced performance of camera devices

Description:
BACKGROUND 
     The performance of outdoor camera devices may be impacted by thermal and/or visual effects of the sun, such as from ultraviolet (UV) rays hitting a plastic portion of the camera, light hitting the lens of the camera, etc. Some of the effects are compensated for by the design of the camera. For example, a camera may be designed with heat sinks, high dynamic range (HDR) processing in a sensor of the camera and image signal processor (ISP), and/or a UV coating on the plastic portion of the camera. Some of these solutions are based on processes, such as determining heat using one or more thermistors and/or responding to the sun&#39;s rays hitting the sensor to determine how to perform HDR processing. However, these processes are time-consuming. Furthermore, there are cases where the video stream is impaired while the algorithm takes effect. 
     SUMMARY 
     A camera device&#39;s exposure to the sun may be predictively monitored and used as a factor in determining whether to enable or disable one or more functions of the camera device in order to improve the performance of the camera device. For example, the functions of the camera device may be enabled or disabled in anticipation of a solar event, such as a critical camera device temperature, a brightness level, and/or an angle of sunlight. The function may comprise a cooling function. The function may comprise a video streaming function of the camera device, such as a resolution, frame rate, or data rate of video generated and/or sent by the camera device. The function of the camera device may be enabled and/or disabled for a duration of the solar event. 
     This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Furthermore, the claimed subject matter is not limited to limitations that solve any or all disadvantages noted in any part of this disclosure. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The following drawings show generally, by way of example, but not by way of limitation, various examples discussed in the present disclosure. In the drawings: 
         FIG.  1    shows an example system. 
         FIG.  2    shows an example environment. 
         FIG.  3    shows an example environment. 
         FIG.  4    shows an example method. 
         FIG.  5    shows an example method. 
         FIG.  6    shows an example scenario. 
         FIG.  7    shows an example computing environment. 
     
    
    
     DETAILED DESCRIPTION 
       FIG.  1    shows an example system  10 . The systems, methods, and apparatuses described herein may be implemented in such an example system. The system  10  may comprise a camera device  12 . The camera device  10  may comprise a component of a premises management system, such as, for example, a security system, a home automation system, or the like. The camera device may comprise a camera, an outdoor camera, a surveillance camera, a security camera, a doorbell camera, a video doorbell camera, a dashboard camera, or any other type of device incorporating a camera. The camera device  12  may be mounted in an environment in which it may be exposed to sunlight. 
     The camera device  12  may comprise a lens  14  that focuses images onto an image sensor  18  for electronic capture of the images. The image sensor  18  may be any of a variety of different types of images sensors, such as, for example, a charged-coupled device (CCD) sensor, a complementary metal-oxide semiconductor (CMOS) sensor, or any other suitable type of image sensor. The camera device  12  may further comprise an infrared (IR) cut filter  16  for filtering infrared light. 
     The camera device  12  may further comprise an image sensor processor (ISP)  20 , which may comprise a central processing unit  22  and software  24 . The software  24  may comprise computer-executable instructions (e.g., program code) that may be executed by the CPU  22 . The software  24  may implement a form of artificial intelligence (AI), such as, for example, machine learning or the like. The software  24  may perform one or more of the methods described herein. The camera device  12  may further comprise a memory  23 , which may be implemented using any suitable memory technology, such as, for example, random access memory (RAM), dynamic RAM (DRAM), an embedded Multi-Media Card (eMMC), non-volatile flash memory (e.g., NAND), or the like. 
     The camera device  12  may further comprise one or more sensors for sensing conditions of an environment in which the camera device  10  may be positioned, installed, or otherwise disposed. For example, the camera device  12  may comprise an ambient light sensor  28  for sensing ambient light. Signals or data indicative of the sensed ambient light may be input to the ISP  20 . As another example, the camera device  12  may comprise a temperature sensor  30  for sensing the temperature. The temperature sensor  30  may sense the internal temperature of the camera device  12 . The temperature sensor  30  may sense the external temperature of an area around the camera device  12 . Signals or data indicative of the temperature sensed by the temperature sensor  30  may be input to the ISP  20 . As yet another example, the camera device  12  may comprise a motion sensor  32 , such as, for example, a passive infrared (PIR) sensor, for sensing motion in the vicinity of the camera device. Signals or data indicative of sensed motion may be input to the ISP  20 . The camera device  12  may comprise other types of sensors for sensing other conditions. 
     The camera device  12  may further comprise other types of input or output components. For example, the camera device  12  may comprise a microphone  36  for receiving audio input, which audio input may also be provided to the ISP  20 . In the case of a video doorbell or other type of doorbell camera, the camera device  12  may comprise a doorbell button  34 . The camera device  12  may further comprise an audio amplifier  38  and a speaker  40  for output of sounds or other audio. The camera device  12  may further comprise an infrared light source  26 , such as an infrared light-emitting diode (LED), in order to provide a source of infrared light for image or video capture in dark environments, such as nighttime. 
     The camera device  12  may further comprise a network interface  42  to enable the camera device  12  to communicate over a network  44  with one or more other computing devices, such as, for example, a remote computing device  46 . The network  44  may comprise a wired network, a wireless network, a cellular network, a local area network, a wide area network, the internet, or any other suitable communications network. The network interface  42  may implement any of a variety of different communications protocols to facilitate such network communications, such as, for example, Ethernet, IEEE 802.11 (Wi-Fi), Bluetooth, Zigbee, 3G, 4G, LTE, 5G, or the like. The remote computing device  46  may also comprise software, such as software  48 , which may execute on the remote computing device to perform one or more of the methods described herein. 
       FIG.  2    shows an example environment  100 . The environment may comprise a camera device  101 . The camera device  101  may comprise the camera device  12  of  FIG.  1   . The camera device  101  may comprise a lens  105  (e.g., the lens  14  of  FIG.  1   ). The camera device  101  may be a component of a premises management system (e.g., a security system, an automation system, etc.). The camera device  101  may be configured to communicate with one or more components of the premises management system, such as a security panel, a gateway, or a sensor device, as examples. The camera device  101  may be configured to communicate with a user device, such as a mobile device and/or a display device. The camera device  101  may be mounted on an object or surface  102 , such as a wall or a stick. 
     The camera device  101  may be configured to generate image data, such as image or video. The camera device  101  may be configured to send the image data to a component of the premises management system or another device. The camera device  101  may be configured to send the image data, such as by streaming the image data. The camera device  101  may be configured to send live image data and/or recorded image data. 
     The camera device  101  may have an orientation. The orientation may be indicated by a cardinal direction. For example, as shown in  FIG.  2   , the camera device  101  is facing East. The camera device  101  may comprise a component that determines the direction in which the camera device  101  is facing, such as a magnetometer and/or a gyroscope. Based on the direction of the camera device  101 , the camera device  101  and/or a computing device in communication with the camera device may determine in what direction the sun&#39;s  103  rays will hit the camera device  101 . For example, in  FIG.  2   , it may be determined that the sun&#39;s  103  rays will hit the camera device  101  from the East. Based on the direction of the camera device  101 , a time at which the sun&#39;s  103  rays may hit the camera device  101  may be determined. 
     Additionally and/or alternatively, the camera device  101  may comprise a component configured to monitor the sun. The component may comprise, for example, an ambient light sensor (such as the ambient light sensor  28  of  FIG.  1   ). Alternatively, or in addition, the component may comprise an image sensor (such as the image sensor  18  of  FIG.  1   ) of the camera device  101  in combination with software that may be used to determine an image of the sun. Monitoring the sun may comprise using an algorithm to learn where the sun  103  is located. The algorithm may be implemented in software that executes within the camera device  101  (such as the software  24  of  FIG.  1   ) or within a remote computing device (such as the software  48  of  FIG.  1   ). The algorithm may employ artificial intelligence. The artificial intelligence may comprise a machine learning model. The artificial intelligence may monitor the sun  103  and/or the moon over a period of time. Geographic information, such as GPS, or a determination of where the camera device  101  is installed (e.g., provided by a user) may be combined to provide more accurate data on the sun&#39;s location. The geographic information may be used to determine a time X1 that a solar event may occur. 
     The solar event may comprise a thermal event, such as a time that the camera device  101  may reach a critical temperature at which its operation is compromised. The solar event may comprise a visual or light effect, such as the sun&#39;s  103  rays hitting the camera device  101  or the lens  105  of the camera device  101 . The solar event may comprise a critical brightness level of the sun&#39;s  103  rays on the camera device  101 . The solar event may comprise an angle of the sun&#39;s  103  rays on the camera device  101 . The solar event may have the potential to cause damage to hardware of the camera device, such as a component of the camera device  101  that generates the image data (e.g., the image sensor  18  of  FIG.  1   ). The solar event may have the potential to cause damage to the image data generated by the camera device  101 . The solar event may impact the sending of image data by the camera device  101 . 
     The camera device  101 , a component of the camera device  101 , or a component of a premises management system of which the camera device is a part, may be configured to access weather data, such as publicly-available weather reports and/or weather data from third parties. Based on the weather data, current and/or future weather conditions may be determined. Based on the location of the camera device  101  and/or the weather condition, the time X1 at which the solar event may occur may be determined. 
     Prior to the determined time X1 at which the solar event may occur, one or more functions of the camera device  101  may be enabled or disabled. The functions may be enabled or disabled at a predetermined time before the time X1 that the solar event may occur. For example, the functions may be enabled or disabled 5 minutes, 10 minutes, 30 minutes, or an hour before the time X1 at which the solar event may occur. The predetermined time may be determined to minimize the impact of the solar event to the camera device  101  and its function, such as sending image data. For example, initially the predetermined time may be set to 0 minutes. After the camera device monitors the thermal impact of the sun, the camera device may determine that it needs to enable or disable the functions at a time 5 minutes before X1. This predetermined time may be continuously or periodically adjusted based on changing conditions, such as changes to the season. For example, the predetermined time may be adjusted on a daily, weekly, or monthly basis, as needed to ensure an optimal predetermined time that minimizes the impact to the user experience. Enabling or disabling one or more functions of the camera device a predetermined time before the time X1 may result in reducing an internal temperature of the camera device X1 prior to the solar event occurring at time X1, so that the impact of the solar event (e.g., a rise in the internal temperature) is lessened in advance of (i.e., in anticipation of) the solar event. 
     Enabling or disabling the function of the camera device  101  may comprise enabling or disabling a cooling function of the camera device. The cooling function may comprise turning on an internal fan. 
     Enabling or disabling the function of the camera device  101  may comprise enabling or disabling high dynamic range (HDR) imaging on the camera device  101 . 
     Enabling or disabling the function of the camera device  101  may comprise modifying a resolution of the image data being captured and/or sent. For example, the image data may be captured or sent at a reduced resolution of 720×480p at a frame rate of 15 fps at the predetermined time prior to time X1. At a time X2 at which the solar event may have been determined to end, the image data may resume being sent at the preferred higher resolution of 1920×1080 p at a frame rate of 30 fps. 
     Enabling or disabling the function of the camera device  101  may comprise modifying a frame rate of the image data being captured or sent. The frame rate may be decreased. For example, the image data may be sent at a frame rate of 15 frames per second at the predetermined time prior to time X1. At time X2, after the solar event has passed, the image data may resume being sent at a frame rate of 30 frames per second. 
       FIG.  3    shows an example environment  200 . The environment  200  may comprise a camera device  201 . The camera device  201  may be similar to the camera device  101  in  FIG.  2   . The camera device  201  may be the camera device  12  of  FIG.  1   . The camera device  201  and/or another computing device in communication with the camera device  201  may be configured to perform monitoring and predicting a time X1 of a solar event and causing enablement or disablement of one or more functions of the camera device  201  at a time prior to the time X1 of the solar event, similarly to the method described with reference to  FIG.  2   . 
     An object  204 , such as, for example, a tree, an umbrella, a sign, a mailbox, or other object, may be present in the environment  200 . The object  204  may block the camera device  201  from the sun&#39;s  203  rays. As the sun&#39;s  203  position changes, the sun  203  may be above the object  203  at a time X1, at which point the camera device  203  may be exposed to the rays of the sun  203 . The object  204  may block the sun&#39;s rays only during some periods of time. For example, in the case of a tree, in winter the tree may have no leaves and may not block any of the sun&#39;s rays. However, in the spring and/or summer, when the tree has leaves, it may block the sun&#39;s rays. Thus, the extent to which a solar event may occur may be different for different periods of time (e.g., different seasons). The algorithm used to predict the time X1 of the solar event may take into account the changing conditions over such periods of time. 
     The camera device  201  and/or a computing device in communication with the camera device  201  may be configured to determine the existence and/or location of the object  204 . Artificial intelligence may be used to determine the existence and/or the location of the object  204 . It may be determined that the object  204  is blocking the rays of the sun  203 . For example, based on the location of the camera device  201 , the location of the object  204 , the location of the sun  203 , weather data, and/or current brightness levels associated with the camera device, it may be determined that the object  204  is blocking the rays of the sun  203 . 
     For example, it may be determined that the camera device  201  faces East and the sun  203  rises at 8:45 a.m. It may be determined that the sun  203  will be at a location where the rays will hit the camera device  201  at 11:15 a.m. (e.g., time X1). It may be determined that the temperature will peak at  8 Z Fahrenheit around 1 p.m. It may be determined that the temperature will reach 78° Fahrenheit around 11:15 a.m. Based on this information, HDR may be enabled at 11:00 a.m. Based on this information, the camera device may be caused to switch to a lower resolution encoding scheme at 11:45 a.m. 
     Enabling or disabling a function of the camera device  201  in anticipation of a solar event may result in an improved viewer experience. If such functions are not enabled or disabled in response to the solar event, there may be a period of time in which the camera device  201  may stream poorly or not at all, resulting in a window of interrupted viewing of the image data. According to the disclosed method, viewing of image data from the camera device  201  may be more consistent, as any changes resulting from the enabling or disabling may happen gradually and prior to degradation of the imaging due to the solar event. 
     As another example, the camera device  201  may face South. It may be determined that a temperature in the location of the camera device  201  will not exceed 75° F. Based on the determination that the temperature will not exceed 75° F., it may be determined that functions will not be enabled or disabled. For example, if an internal temperature of the camera device  201  reaches 100 F, the functions may not be enabled or disabled based on the determination that the temperature is unlikely to rise and the temperature has likely reached its maximum for the day. 
       FIG.  4    shows an example method  300 . At step  310 , a camera device&#39;s exposure to sunlight may be monitored. The camera device may be similar to the camera device  12  in  FIG.  1   , the camera device  101  in  FIG.  2    and/or camera device  201  in  FIG.  3   . The sunlight exposure associated with the camera device may be monitored by a component of the camera device and/or a computing device in communication with the camera device, such as a computing device associated with a premises management system of which the camera device may be a part. 
     Monitoring the sunlight exposure associated with the camera device may comprise using an algorithm to learn where the sun is positioned. The algorithm may employ artificial intelligence (AI), such as machine learning. The algorithm may be used to monitor the position of the sun and/or the moon over a period of time. Geographic information, such as GPS, or a determination of where the camera device is installed (e.g., provided by a user) may be pooled. The algorithm may be used to determine the presence of an object blocking the camera device from the sun&#39;s rays. For example, the algorithm may be used to determine a period of time during which an object may block the camera device from the sun&#39;s rays. The geographic information and/or the information about the object may be used to determine a time X1 that a solar event may occur. 
     The solar event may comprise a thermal event, such as the time that the camera device will reach a critical temperature at which its operation is compromised. The solar event may comprise a visual or light effect, such as the sun&#39;s rays hitting the camera device or the lens of the camera device. The solar event may comprise a critical brightness level of the sun&#39;s rays on the camera device. The solar event may comprise an angle of the sun&#39;s rays on the camera device. The solar event may have the potential to cause damage to hardware of the camera device, such as a component of the camera device that generates the image data. The solar event may have the potential to cause damage to the image data generated by the camera device. 
     The camera device and/or a component of the camera device may be configured to access weather data, such as publicly-available weather reports and/or weather data from third parties. Based on the weather data, current and/or future weather conditions may be determined. The weather data may be used in combination with other sensed or determined conditions to help predict a time X1 of a solar event. 
     At step  320 , a solar event associated with the camera device may be predicted. The solar event may be predicted based on the monitoring the camera device&#39;s sunlight exposure. The solar event may be predicted bason on other or additional information, such as the aforementioned weather data. The solar event may comprise a thermal event, such as the time that the camera device will reach a critical temperature at which its operation is compromised. The solar event may comprise a visual or light effect, such as the sun&#39;s rays hitting the camera device or the lens of the camera device. The solar event may comprise a critical brightness level of the sun&#39;s rays on the camera device. The solar event may comprise an angle of the sun&#39;s rays on the camera device. The solar event may have the potential to cause damage to hardware of the camera device, such as a component of the camera device that generates the image data. The solar event may have the potential to cause damage to the image data generated by the camera device. Predicting the solar event may comprise determining a time associated with the solar event. 
     At step  330 , one or more functions of the camera device may be caused to be enabled or disabled. The one or more functions may be caused to be enabled or disabled based on the predicting the solar event associated with the camera device. The camera device may cause the one or more functions to be enabled or disabled. A computing device in communication with the camera device may cause the one or more functions to be enabled or disabled. 
     The one or more functions may enabled or disabled a predetermined time before the time X1 that the solar event may occur. For example, the functions may be enabled or disabled 5 minutes, 10 minutes, 30 minutes, or an hour before the time X1 at which the solar event may occur. The predetermined time prior to time X1 may be determined to minimize the impact of the solar event to the camera device and its functions, such as capturing and sending image data. 
     Enabling or disabling the one or more functions of the camera device may comprise enabling a cooling function of the camera device. The cooling function may comprise operation of an internal fan. Enabling or disabling the function of the camera device may comprise enabling of disabling high dynamic range (HDR) imaging on the camera device. Enabling or disabling the one or more functions of the camera device may comprise modifying a resolution of the image data being captured or sent. Enabling or disabling the one or more functions of the camera device may comprise modifying a frame rate of the image data being captured or sent. For example, the frame rate may be decreased. Enabling or disabling the one or more functions of the camera device may comprise modifying a data rate of the image data being sent. For example, the data rate may be decreased. 
       FIG.  5    shows a method  400 . At step  410 , a camera device&#39;s exposure to sunlight may be monitored. The camera device may be similar to the camera device  12  in  FIG.  1   , the camera device  101  in  FIG.  2    and/or camera device  201  in  FIG.  3   . The sunlight exposure associated with the camera device may be monitored by a component of the camera device and/or a computing device in communication with the camera device. 
     Monitoring the sunlight exposure associated with the camera device may comprise using an algorithm to learn where the sun is positioned. The algorithm may employ artificial intelligence (AI), such as machine learning. The algorithm may be used to monitor the sun and/or the moon over a period of time. Geographic information, such as GPS, or a determination of where the camera device is installed (e.g., provided by a user) may be input to the algorithm. The algorithm may be used to determine the presence of an object blocking the camera device from the sun&#39;s rays over time. The geographic information and/or the information about the object may be used, together with the monitored position of the sun and the other information described herein, to determine the time X1 that a solar event may occur. 
     The solar event may comprise a thermal event, such as the time that the camera device will reach a critical temperature at which its operation is compromised. The solar event may comprise a visual or light effect, such as the sun&#39;s rays hitting the camera device or the lens of the camera device. The solar event may comprise a critical brightness level of the sun&#39;s rays on the camera device. The solar event may comprise an angle of the sun&#39;s rays on the camera device. The solar event may have the potential to cause damage to hardware of the camera device, such as a component of the camera device that generates the image data. The solar event may have the potential to cause damage to the image data generated by the camera device. 
     The camera device and/or a component of the camera device may be configured to access weather data, such as publicly-available weather reports and/or weather data from third parties. Based on the weather data, current and/or future weather conditions may be determined. The weather data may be used in combination with the other information or sensed or determined conditions to help predict the time X1 of the solar event. 
     At step  420 , a solar event associated with the camera device may be predicted. The solar event may be predicted based on the monitoring the camera device&#39;s sunlight exposure. The solar event may comprise a thermal event, such as the time that the camera device will reach a critical temperature at which its operation is compromised. The solar event may comprise a visual or light effect, such as the sun&#39;s rays hitting the camera device or the lens of the camera device. The solar event may comprise a critical brightness level of the sun&#39;s rays on the camera device. The solar event may comprise an angle of the sun&#39;s rays on the camera device. The solar event may have the potential to cause damage to hardware of the camera device, such as a component of the camera device that generates the image data. The solar event may have the potential to cause damage to the image data generated by the camera device. Predicting the solar event may comprise determining a time associated with the solar event, such as the time X1. 
     At step  430 , one or more functions of the camera device may be caused to be enabled or disabled. The one or more functions may be caused to be enabled or disabled based on the predicting the solar event associated with the camera device. The camera device may cause the one or more functions to be enabled or disabled. A computing device in communication with the camera device may cause the one or more functions to be enabled or disabled. 
     The one or more functions may enabled or disabled a predetermined time before the time X1 that the solar event may occur. For example, the functions may be enabled or disabled 5 minutes, 10 minutes, 30 minutes, or an hour before the time X1 at which the solar event may occur. The predetermined time prior to time X1 may be determined to minimize the impact of the solar event to the camera device and its operation, such as capturing or sending image data. 
     Enabling or disabling the one or more functions of the camera device may comprise enabling a cooling function of the camera device. The cooling function may comprise operation of an internal fan. Enabling or disabling the one or more functions of the camera device may comprise enabling high dynamic range (HDR) imaging by the camera device. Enabling or disabling the one or more functions of the camera device may comprise modifying a resolution of the image data being captured or sent. Enabling or disabling the one or more functions of the camera device may comprise modifying a frame rate of the image data being captured or sent. For example, the frame rate may be decreased. Enabling or disabling the one or more functions of the camera device may comprise modifying a data rate of the image data being sent. For example, the data rate may be decreased. 
     At step  440 , it may be determined that the solar event has ended. The camera device may determine that the solar event has ended. A computing device in communication with the camera device may determine that the solar event has ended. It may be determined that the solar event has ended based on the location of the camera device. It may be determined that the solar event has ended based on a position of the sun. It may be determined that the solar event has ended based on an internal temperature of the camera device. It may be determined that the solar event has ended based on an external temperature associated with the camera device. It may be determined that the solar event has ended based on a brightness level associated with the camera device or a lens of the camera device. Like the time X1 at which the solar event is predicted to occur, the time at which the solar event will end may also be predicted based on the various types of information used by the aforementioned algorithm. 
     At step  450 , one or more functions of the camera device may be caused to be enabled or disabled. The one or more functions may be caused to be enabled or disabled based on the determining that the solar event has ended. Enabling or disabling the one or more functions may comprise enabling or disabling the function that was enabled or disabled in step  430 . For example, if a resolution was lowered in step  430 , the resolution may be increased in step  450 . If a cooling function was enabled in step  430 , the cooling function may be disabled in step  450 . 
       FIG.  6    shows an example application of the methods described herein. As shown, at time 00:00, a camera device, such as the camera device  12 , the camera device  101 , or camera device  102  of  FIGS.  1 ,  2 , and  3   , may be operating normally. Under normal conditions, the internal temperature of the camera device (e.g., as measured by the temperature sensor  30  of  FIG.  1   ) may, as an example, be 100° F. Under such normal conditions, the camera device may be able to operate using operating parameters V1, i.e. at a resolution of 1920×1080 p, at a frame rate of 30 frames per second (fps), and with high dynamic range (HDR) imaging enabled. In accordance with the methods described above, it may be determined (e.g., predicted) that a solar event will, or is likely to, occur at time X1. It may further be determined that the solar event will, or is likely to, end at time X2. Using the methods described above, it may be determined that optimal performance of the camera device with minimal impact on the user experience may be achieved by enabling or disabling one or more of the functions of the camera, such as disabling higher frame rates, disabling higher resolutions, disabling HDR imaging or disabling the network interface  42  of  FIG.  1   , at one or more predetermined times before and after the solar event. 
     For example, it may have been determined using the algorithm described above (e.g. software  24  or software  48  of  FIG.  1   ) that a predicted solar event at time X1 is likely to raise the internal temperature of the camera device by some amount, such as, for example, 5° F. In anticipation of this solar event, it may be determined to enable or disable one or more functions of the camera device a predetermined amount of time prior to the predicted time X1 of the solar event in order to cause the internal temperature of the camera device to cool, so that by the time X1 of the solar event, the predicted rise in temperature will not take the camera too far out of its normal operating temperature range. The enabling or disabling of the one or more functions of the camera may be performed all at once. Alternatively, or in addition, the enabling or disabling of all or some of the one or more functions may be performed gradually at more than one predetermined time prior to X1. 
     For example, with reference to  FIG.  6   , it may be determined to disable the highest frame rate (30 fps) at time P1 prior to X1 (i.e., switching to operating parameters V2—1920×1080 p, 15 fps, HDR enabled) in order to bring the internal temperature of the camera device down to 98°, for example. It may further be determined to disable HDR imaging at time P2 prior to X1 (i.e., switching to operating parameters V3-1920×1080 p, 15 fps, HDR disabled) in order to attempt to bring the temperature of the camera down further to 96° F. in anticipation of the solar event at X1. At time X1, it may further be determined to disable the highest resolution of the camera device to further attempt to reduce heat from internal components of the camera device, resulting in a change to operating parameters V4 (720×480p, 15 fps, HDR disabled). The gradual change from operating parameters V1-V2-V3-V4 may be advantageous in minimizing the impact on the user experience. However, in other examples, it may be determined to enable or disable the one or more functions of the camera all at once, such as, for example, causing a switch at P1 from operating parameters V1 to operating parameters V4. As can be appreciated, by enabling or disabling the one or more functions of the camera to reduce the internal temperature of the camera in anticipation of the solar event at time X1, the impact of the solar event on the camera device may be lessened or minimized. For example, if the enabling or disabling of the one or more functions is able to bring the internal temperature of the camera device down from its normal operating temperature of 100° F. to 96° F. prior to the time X1 of the solar event, then a rise in temperature of 5° F. as a result of the solar event will only cause the temperature of the camera to rise to 101° F. during the event (i.e., only one degree above normal operating temperature). 
     With continued reference to  FIG.  6   , it may alternatively, or in addition, be determined to disable the network interface  42  of  FIG.  1    at X1 (e.g., turn off the transmitter and/or receiver and place the network interface in a standby/sleep state) in order to bring the internal temperature of the camera device down to 98°, for example. This may further reduce the thermal load of the camera, for example, in the event that lowering the frame rate or enabling/disabling one of the other operational parameters may not provide enough decrease. The camera may store the audiovisual stream locally on the camera (for example, in memory  23 ) until some amount of time after X2. Assuming that at time X2 the camera is in a thermal temperature range that allows it to return to normal operational state, the camera may enable the network interface and transmit the stored audiovisual stream to the network where the whole of the camera&#39;s audiovisual content may be stored. Alternatively, or in addition, the audiovisual stream may not be transmitted via the network, but instead may be stored on the camera until accessed and viewed by the user and/or retained until a user-defined date/time at which point the stored audiovisual stream may be deleted. 
     As further illustrated in  FIG.  6   , in anticipation of the solar event ending at time X2, it may be determined that both HDR imaging and the highest resolution (1920×1080 p) may be re-enabled, such that the camera device may resume operating with parameters V2. While still operating below normal parameters V1, this change to parameters V2, coupled with the end of the solar event, may result in the internal temperature of the camera dropping to 98° by time P3 (i.e., more than enough for safe operation). Thus, at P3, it may be determined that the highest frame rate (30 fps) may also be re-enabled, such that the camera device is able to resume operating with normal parameters V1 and causing a rise back to the normal operating temperature of 100° F. It is understood that the example of  FIG.  6    is just one example of application of the methods disclosed herein. 
       FIG.  7    shows an example computing environment  600 . The example computing environment  600  may comprise a computing device  601 . All or some of the devices described herein may be implemented, at least in part, in the form of computing device  601 . For example, at least some of the components of the camera device  12 , camera device  101 , or camera device  201  of  FIGS.  1 ,  2 , and  3    may be implemented in the form of computing device  601 . The remote computing device  46  of  FIG.  1    may also be implemented in the form of computing device  601 , again as just one example. 
     The systems, methods, and apparatuses described herein may be operational with numerous other general purpose or special purpose computing system environments or configurations. Computing systems, environments, and/or configurations that may be suitable for use with the systems, methods, and apparatuses comprise, but are not limited to, personal computers, server computers, laptop devices, and multiprocessor systems. Set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that comprise any of the above systems or devices, and the like may be used to implement the methods, systems, and apparatuses. 
     The systems, methods, and apparatuses may be implemented, in whole or in part, by software components. The disclosed methods, systems, and apparatuses may be described in the general context of computer-executable instructions, such as program modules, being executed by one or more computers or other devices. Program modules comprise computer code, routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The methods, systems, and apparatuses may be practiced in grid-based and distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices. 
     The methods, systems, and apparatuses may be implemented via a general-purpose computing device in the form of a computing device  601 . The components of the computing device  601  may comprise, but are not limited to, one or more processors  603 , a system memory  612 , and a system bus  613  that couples various system components including the processor  603  to the system memory  612 . With multiple processors  603 , the system may utilize parallel computing. 
     The system bus  613  represents one or more of several possible types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. Such architectures may comprise an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an Enhanced ISA (EISA) bus, a Video Electronics Standards Association (VESA) local bus, an Accelerated Graphics Port (AGP) bus, and a Peripheral Component Interconnects (PCI), a PCI-Express bus, a Personal Computer Memory Card Industry Association (PCMCIA), Universal Serial Bus (USB) and the like. The bus  613 , and all buses specified in this description may be implemented via a wired or wireless network connection and each of the subsystems, including the processor  603 , a mass storage device  604 , an operating system  605 , DNS encryption software  606 , DNS encryption data  607 , a network adapter  608 , system memory  612 , an Input/Output Interface  610 , a display adapter  609 , a display device  611 , and a human machine interface  602 , may be contained within one or more remote computing devices  614   a, b, c  at physically separate locations, connected through buses of this form, in effect implementing a fully distributed system. 
     The computing device  601  typically comprises a variety of computer readable media. Readable media may be any available media that is accessible by the computing device  601  and comprises both volatile and non-volatile media, removable and non-removable media. The system memory  612  comprises computer readable media in the form of volatile memory, such as random access memory (RAM), and/or non-volatile memory, such as read only memory (ROM). The system memory  612  typically contains data such as DNS encryption data  607  and/or program modules such as operating system  605  and DNS encryption software  606  that are immediately accessible to and/or are presently operated on by the processor  603 . 
     The computing device  601  may comprise other removable/non-removable, volatile/non-volatile computer storage media.  FIG.  7    shows a mass storage device  604  which may provide non-volatile storage of computer code, computer readable instructions, data structures, program modules, and other data for the computing device  601 . A mass storage device  604  may be a hard disk, a removable magnetic disk, a removable optical disk, magnetic cassettes or other magnetic storage devices, flash memory cards, CD-ROM, digital versatile disks (DVD) or other optical storage, random access memories (RAM), read only memories (ROM), electrically erasable programmable read-only memory (EEPROM), and the like. 
     Any number of program modules may be stored on the mass storage device  604 , including an operating system  605  and DNS encryption software  606 . Each of the operating system  605  and DNS encryption software  606  (or some combination thereof) may comprise elements of the programming and the DNS encryption software  606 . DNS encryption data  607  may be stored on the mass storage device  604 . DNS encryption data  607  may be stored in any of one or more databases known in the art. Such databases may comprise, DB2®, Microsoft® Access, Microsoft® SQL Server, Oracle®, mySQL, PostgreSQL, and the like. The databases may be centralized or distributed across multiple systems. 
     The user may enter commands and information into the computing device  601  via an input device (not shown). Input devices may comprise, but are not limited to, a keyboard, pointing device (e.g., a “mouse”), a microphone, a joystick, tactile input devices such as gloves, and other body coverings, and the like. These and other input devices may be connected to the processor  603  via a human machine interface  602  that is coupled to the system bus  613 , but may be connected by other interface and bus structures, such as a parallel port, game port, an IEEE 694 Port (also known as a Firewire port), a serial port, or a universal serial bus (USB). 
     A display device  611  may be connected to the system bus  613  via an interface, such as a display adapter  609 . It is contemplated that the computing device  601  may have more than one display adapter  609  and the computing device  601  may have more than one display device  611 . A display device may be a monitor, an LCD (Liquid Crystal Display), or a projector. Output peripheral devices may comprise components such as speakers (not shown) and a printer (not shown) which may be connected to the computing device  601  via Input/Output Interface  610 . Any step and/or result of the methods may be output in any form to an output device. Such output may be any form of visual representation, including, but not limited to, textual, graphical, animation, audio, tactile, and the like. The display  611  and computing device  601  may be part of one device, or separate devices. 
     The computing device  601  may operate in a networked environment using logical connections to one or more remote computing devices  614   a, b, c  (e.g., remote computing device  46  of  FIG.  1   ). A remote computing device may be a personal computer, portable computer, smartphone, a server, a router, a network computer, a peer device or other common network node, and so on. Logical connections between the computing device  601  and a remote computing device  614   a, b, c  may be made via a network  615 , such as a local area network (LAN) and a general wide area network (WAN). Such network connections may be through a network adapter  608 . A network adapter  608  may be implemented in both wired and wireless environments. Such networking environments are conventional and commonplace in dwellings, offices, enterprise-wide computer networks, intranets, and the Internet. 
     Application programs and other executable program components such as the operating system  605  are shown herein as discrete blocks, although it is recognized that such programs and components reside at various times in different storage components of the computing device  601 , and are executed by the data processor(s) of the computer. An implementation of DNS encryption software  606  may be stored on or sent across some form of computer readable media. Any of the disclosed methods may be performed by computer readable instructions embodied on computer readable media. Computer readable media may be any available media that may be accessed by a computer. Computer readable media may comprise “computer storage media” and “communications media.” “Computer storage media” comprise volatile and non-volatile, removable and non-removable media implemented in any methods or technology for storage of information such as computer readable instructions, data structures, program modules, or other data. Computer storage media may comprise, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which may be used to store the desired information and which may be accessed by a computing device.