Systems and methods for automated cloud-based analytics for security surveillance systems with mobile input capture devices
Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. At least two input capture devices and at least one user device are communicatively connected to a cloud-based analytics platform. At least one input capture device is a mobile device with visual sensors. The cloud-based analytics platform automatically analyzes received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.
1. A system for cloud-based surveillance for a target surveillance area, comprising:
at least two input capture devices (ICDs) and a cloud-based analytics platform in network-based communication;
wherein the at least two ICDs has at least one visual sensor and is operable to capture and transmit input data to the cloud-based analytics platform; wherein at least one of the at least two ICDs is mobile;
wherein the cloud-based analytics platform is operable to:
receive and authenticate the input data;
generate 3-Dimensional (3D) visual representation based on the input data captured from the at least two ICDs; and
perform analytics based on the input data and the generated 3D visual representation.
2. The system of claim 1 , wherein the at least two ICDs are selected from the group consisting of security cameras, mobile phones, smart phones, tablets, portable computers, and wearable input capture devices.
3. The system of claim 1 , wherein the input data are selected from live streaming video, real-time images and/or audio, previously recorded video, previously captured images and/or audio, and combinations thereof.
4. The system of claim 1 , wherein the input data are automatically tagged, combined, grouped, and edited by the cloud-based analytics platform.
5. The system of claim 1 , wherein authentication of the input data includes confirming a time for the input data captured by the at least two ICDs.
6. The system of claim 1 , wherein authentication of the input data includes confirmation of global positioning system (GPS) locations of the at least two ICDs are within the target surveillance area.
7. The system of claim 1 , wherein authentication of the input data includes confirming that there has been no alteration, editing, or modification to the input data prior to its receipt by the cloud-based analytics platform.
8. The system of claim 1 , wherein the cloud-based analytics platform is further operable to provide data storage, and wherein a time period of storage is selectable on the cloud-based analytics platform.
9. The system of claim 1 , further comprising at least one user device in networked communication with the cloud-based analytics platform, wherein the at least one user device comprises a display, and wherein the at least one user device is operable to display the 3D visual representation of the target surveillance area.
10. The system of claim 9 , wherein the 3D visual representation of the target surveillance area is interactive via a user interface on the at least one user device.
11. A method for providing cloud-based surveillance for a target surveillance area, comprising:
communicatively connecting at least two input capture devices (ICDs) to a cloud-based analytics platform; wherein the at least two ICDs has at least one visual sensor and at least one of the at least two ICDs is mobile;
the at least two ICDs capturing and transmitting input data to the cloud-based analytics platform;
the cloud-based analytics platform receiving and authenticating the input data;
the cloud-based analytics platform generating 3-Dimensional (3D) visual representation based on the input data from the at least two ICDs; and
the cloud-based analytics platform performing analytics based on the input data and the generated 3D visual representation.
12. The method of claim 11 , wherein the at least two ICDs are selected from the group consisting of security cameras, mobile phones, smart phones, tablets, portable computers, and wearable input capture devices.
13. The method of claim 11 , wherein the input data are selected from live streaming video, real-time images and/or audio, previously recorded video, previously captured images and/or audio, and combinations thereof.
14. The method of claim 11 , further comprising the cloud-based analytics platform tagging, combining, grouping, and editing the input data according to the target surveillance area.
15. The method of claim 11 , wherein authenticating the input data comprises confirming a time for the input data captured by the at least two ICDs.
16. The method of claim 11 , wherein authenticating the input data comprises confirming global positioning system (GPS) locations of the at least two ICDs are within the target surveillance area.
17. The method of claim 11 , wherein authenticating the input data comprises confirming that there has been no alteration, editing, or modification to the input data prior to its receipt by the cloud-based analytics platform.
18. The method of claim 11 , further comprising the cloud-based analytics platform providing data storage, wherein a time period of storage is selectable on the cloud-based analytics platform.
19. The method of claim 11 , further comprising communicatively connecting at least one user device with a display to the cloud-based analytics platform and the at least one user device displaying the 3D visual representation of the target surveillance area over the display.
20. The method of claim 19 , further comprising interacting with the 3D visual representation of the target surveillance area via a user interface on the at least one user device.