High-priority event generation and reporting for camera-based security system
A video data collection and sharing platform is provided capable of detecting high-priority events and communicating alerts to users. A high-priority event is captured by a video capturing device with one or more sensor modules, including one or more video cameras for recording video footage. A network connection is established and input from one or more sensor modules is received. The input includes image data from the one or more video cameras. An input from the one or more sensor modules is analyzed to determine a potential high-priority event. Upon determining a potential high-priority event, conditions of the network connection are measured and an amount of data to be transmitted to a remote server through the network connection is determined based, at least in part, on the measured conditions of the network connection. The determined amount of data is then transmitted to the remote server. The transmitted data includes at least part of the image data from the one or more video cameras. Inputs from the one or more sensors is analyzed. Based at least in part on the first input and the second inputs, a positive determination regarding the occurrence of the high-priority event is made. The video data input from the one or more video cameras is used to generate a video clip and the user is notified of the positive determination regarding the occurrence of the high-priority event.
1. A method for notifying a user of a high-priority event captured by a video capturing device comprising one or more sensor modules including one or more video cameras for recording video footage and a communications module for establishing a network connection, the method comprising:
establishing a network connection;
receiving input from one or more sensor modules, the input comprising image data from the one or more video cameras;
analyzing a first input from the one or more sensor modules to determine a potential high-priority event;
upon determining a potential high-priority event, measuring conditions of the network connection;
determining an amount of data for transmission to a remote server through the network connection based at least in part on the measured conditions of the network connection;
transmitting the determined amount of data to the remote server, the transmitted data comprising at least part of the image data;
analyzing second inputs from the one or more sensors;
making a positive determination regarding the occurrence of the high-priority event based at least in part on the first input and the second inputs;
generating a video clip from image data input from the one or more video cameras; and notifying the user of the positive determination regarding the occurrence of the high-priority event.
2. The method of claim 1 , wherein the high-priority event relates to criminal activity, including one of a burglary, a break-in, or a theft.
3. The method of claim 1 , wherein the analyzing the first input further comprises comparing a digital sound signal from the one or more sensors to a pre-stored digital glass-breaking sound signature.
4. The method of claim 1 , wherein the analyzing the first input further comprises analyzing a power spectral density of an accelerometer sensor signal to determine whether energy in a low frequency range exceeds a threshold.
5. The method of claim 4 , wherein the low frequency range includes frequencies between 1 and 10 Hertz.
6. The method of claim 1 further comprising determining a sensitivity level corresponding to a time limit for notifying the user and wherein the analyzing second inputs, the making a positive determination, the generating the video clip, and the notifying the user steps are performed substantially within the time limit.
7. The method of claim 6 , wherein the time limit comprises different values depending on a type corresponding to the potential high-priority event.
8. The method of claim 6 , wherein the second inputs analyzed depend on the sensitivity level.
9. The method of claim 1 , wherein the second inputs include at least one of a car start signal, a Bluetooth signal, a face recognition signal, or a GPS signal.
10. The method of claim 1 , further comprising analyzing third inputs from remote sources, the third inputs including determination of events by other video capturing devices located in the vicinity of the video capturing device, and further wherein the positive determination regarding the occurrence of the high-priority event is further based at least in part on the third inputs.
11. A method for determining whether to notify a user based on the potential occurrence of a high-priority event, the determining based on data captured by a video capturing device comprising one or more sensor modules including one or more video cameras for recording video footage and a communications module for establishing a network connection, the method comprising:
establishing a network connection;
receiving input from one or more sensor modules, the input comprising image data from the one or more video cameras;
analyzing a first input from the one or more sensor modules to determine a potential high-priority event;
upon determining a potential high-priority event, measuring conditions of the network connection;
determining an amount of data for transmission to a remote server through the network connection based at least in part on the measured conditions of the network connection;
transmitting the determined amount of data to the remote server, the transmitted data comprising at least part of the image data;
analyzing second inputs from the one or more sensors; and
making a negative determination regarding the occurrence of the high-priority event based at least in part on the first input and the second inputs.
12. The method of claim 11 , wherein the analyzing the first input further comprises comparing a digital sound signal from the one or more sensors to a pre-stored digital glass-breaking sound signature.
13. The method of claim 11 , wherein the analyzing the first input further comprises analyzing a power spectral density of an accelerometer sensor signal to determine whether energy in a low frequency range exceeds a threshold.
14. The method of claim 11 , further comprising determining a sensitivity level corresponding to a time limit for notifying the user and wherein the analyzing second inputs and the making a negative determination steps are performed substantially within the time limit.
15. The method of claim 14 , wherein the time limit is user configurable.
16. The method of claim 14 , wherein the second inputs analyzed depend on the sensitivity level.
17. The method of claim 16 , wherein the second inputs include at least one of a car start signal, a Bluetooth signal, a face recognition signal, or a GPS signal.
18. The method of claim 11 , wherein the negative determination regarding the occurrence of the high-priority event is based at least in part on user input.
19. The method of claim 18 , wherein the user input includes an indication to cancel.
20. A system for notifying a user of a high-priority event captured by a video capturing device comprising:
one or more sensor modules, the one or more sensor modules comprising one or more video cameras for recording video footage;
a communications module for establishing a network connection;
a processor, the processor configured to:
establish the network connection;
receive input from the one or more sensor modules, the input comprising image data from the one or more video cameras;
analyze a first input from the one or more sensor modules to determine a potential high-priority event;
upon determining a potential high-priority event, measure conditions of the network connection;
determine an amount of data for transmission to a remote server through the network connection based at least in part on the measured conditions of the network connection;
transmit the determined amount of data to the remote server, the transmitted data comprising at least part of the image data;
analyze second inputs from the one or more sensors;
make a positive determination regarding the occurrence of the high-priority event based at least in part on the first input and the second inputs;
generate a video clip from image data input from the one or more video cameras; and
notify a user of the positive determination regarding the occurrence of the high-priority event.