Methods and devices for unmanned aerial vehicle based site inspection and scale rendered analysis
Various embodiments of the present technology generally relate to unmanned aerial vehicle (UAV) scale rendered analysis, orthomosaic, and 3D mapping and landing platform systems. More specifically, some embodiments relate to systems, methods, and means for the collection and processing of images captured during a UAV flight sequence. In some embodiments, the UAV landing platform retrieves flight information and initial map information over a unidirectional virtual private network from a multitenant cloud-based scheduling application. The UAV landing platform sends the initial map information to a UAV over a WiFi, Bluetooth, or radio frequency network and initiates a drone flight sequence once the drone flight sequence has been approved by a local user. The UAV landing platform receives property image data from a UAV after a UAV flight sequence has ended and transmits the received property image data back to the cloud application.
1. A method of operating an unmanned aerial vehicle (UAV) model generation platform, the method comprising:
receiving property image data from a UAV, wherein the property image data includes images representative of an environment collected during a UAV flight sequence;
uploading the property image data to a cloud-based scheduling platform for image quality evaluation;
generating one or more 3-dimensional (3D) models of the environment based on the property image data; and
transmitting the one or more 3D models to a mobile application for access by an end user.
2. The method of claim 1 , wherein the property image data includes two or more of orthoimages, red green blue (RGB) images, infrared images, light detection and ranging (LiDAR) images, optical gas images, landscape image data, thermal image data, wall image data, roof image data, and global positioning system data.
3. The method of claim 1 , further comprising:
determining, in the cloud-based scheduling platform, that a quality of the property image data is low; and
upon determining that the quality of the property image data is low, initiating a re-fly request.
4. The method of claim 1 , further comprising, in the mobile application, assigning a tenant token to data transmitted or received by the mobile application.
5. The method of claim 1 , wherein the one or more 3D models are transmitted by the UAV model generation platform to the mobile application over a unidirectional virtual private network, wherein the mobile application comprises a multitenant cloud application.
6. A device comprising:
one or more computer-readable storage media; and
program instructions stored on the one or more computer-readable storage media that, when executed by a processing system, direct the processing system to at least:
receive property image data an unmanned aerial vehicle (UAV), wherein the property image data includes images representative of an environment collected during a UAV flight sequence;
upload the property image data for image quality evaluation to a cloud-based scheduling platform;
generate one or more 3-dimensional (3D) models of the environment based on the property image data; and
transmit the one or more 3D models to a mobile application for access by an end user.
7. The device of claim 6 , wherein the property image data includes two or more of orthoimages, red green blue (RGB) images, infrared images, light detection and ranging (LiDAR) images, optical gas images, landscape image data, thermal image data, wall image data, roof image data, and global positioning system data.
8. The device of claim 6 , wherein the program instructions further direct the processing system to, upon receiving a determination from the cloud-based scheduling platform that a quality of the property image data is low, initiate a re-fly request.
9. The device of claim 6 , wherein the program instructions further direct the processing system to, in the mobile application, assign a tenant token to data transmitted or received by the mobile application.
10. The device of claim 6 , wherein the one or more 3D models is transmitted by the UAV model generation platform to the mobile application, wherein the mobile application comprises a multitenant cloud application, over a unidirectional virtual private network.
11. One or more computer-readable storage media having program instructions stored thereon to facilitate unmanned aerial vehicle (UAV) model generation and image analysis, wherein the program instructions, when executed by a computing system, direct the computing system to at least:
receive a plurality of images from a UAV, wherein the plurality of images comprise images representative of an environment collected during a UAV flight;
generate one or more 3-dimensional (3D) models of the environment based on the plurality of images; and
transmit the one or more 3D models to a mobile application for access by an end user.
12. The one or more computer-readable storage media of claim 11 , wherein the UAV model generation and image analysis is performed on a cloud-based multi-tenant application.
13. The one or more computer-readable storage media of claim 11 , wherein the plurality of images include one or more of orthoimages, red green blue (RGB) images, infrared images, light detection and ranging (LiDAR) images, optical gas images, landscape image data, thermal image data, wall image data, roof image data, and global positioning system data.