Automating the creation of listings using augmented reality computer technology
Provided herein are various embodiments for automating the creation of listings using augmented reality. An embodiment operates by identifying a template for a for sale object (FSO), selecting a first image of the one or more common images of the template, and determining a boundary of the first image. It is determined that a listing image of the FSO, through a camera of a computing device, is smaller than the boundary prior to taking the listing image through the camera, and instructions are provided to move the FSO to more closely align to the boundary. A command is provided to the camera to take the listing image of the FSO responsive to the detecting that the listing image of the FSO more closely aligns to the boundary. A listing for the FSO is generated using the listing image.
1. A computer implemented method, comprising:
identifying a template for a for sale object (FSO), the template comprising one or more common images selected from one or more listings of one or more previously sold objects that are similar to the FSO;
selecting a first image of the one or more common images of the template;
determining a boundary of the first image;
determining, by one or more processors, that a listing image of the FSO, through a camera of a computing device, is smaller than the boundary prior to taking the listing image through the camera;
providing instructions, by the one or more processors, via the computing device to move the FSO to more closely align to the boundary;
detecting, by the one or more processors, that the listing image of the FSO more closely aligns to the boundary;
providing, by the one or more processors, a command to the camera to take the listing image of the FSO responsive to the detecting that the listing image of the FSO more closely aligns to the boundary; and
generating, by the one or more processors, a listing for the FSO using the listing image.
2. The method of claim 1 , wherein the template was generated from certain past listings of a category from a historical database, and wherein the certain past listings were selected based on one or more of: price achieved, time to sell, buyer feedback, sellability score, and/or difference between initial offer price and final selling price.
3. The method of claim 1 , further comprising:
tracking the listing; and
using information obtained from the tracking to improve the template for a category using AI and ML technology.
4. The method of claim 1 , wherein the template comprises a two-dimensional outline of a shape corresponding to the FSO.
5. The method of claim 4 , further comprising:
providing, after providing the command, a second template, comprising a two-dimensional outline of a second shape corresponding to the FSO for a second listing image, wherein the listing includes both the listing image and the second listing image.
6. The method of claim 4 , wherein the two-dimensional outline is displayed on a screen corresponding to the camera.
7. The method of claim 1 , wherein the instructions are provided to a user.
8. The method of claim 1 , wherein the camera corresponds to an app on a mobile device.
9. The method of claim 1 , further comprising:
adjusting, by the one or more processors, a focus or shutter speed of the camera.
10. A system comprising at least one processor, the at least one processor configured to perform operations comprising:
identifying a template for a for sale object (FSO), the template comprising one or more common images selected from one or more listings of one or more previously sold objects that are similar to the FSO;
selecting a first image of the one or more common images of the template;
determining a boundary of the first image;
determining, by the one or more processors, that a listing image of the FSO, through a camera of a computing device, is smaller than the boundary prior to taking the listing image through the camera;
providing instructions, by the one or more processors, via the computing device to move the FSO to more closely align to the boundary;
detecting, by the one or more processors, that the listing image of the FSO more closely aligns to the boundary;
providing, by the one or more processors, a command to the camera to take the listing image of the FSO responsive to the detecting that the listing image of the FSO more closely aligns to the boundary; and
generating, by the one or more processors, a listing for the FSO using the listing image.
11. The system of claim 10 , wherein the template was generated from certain past listings of a category from a historical database, and wherein the certain past listings were selected based on one or more of: price achieved, time to sell, buyer feedback, sellability score, and/or difference between initial offer price and final selling price.
12. The system of claim 10 , the operations further comprising:
tracking the listing; and
using information obtained from the tracking to improve the template for a category using AI and ML technology.
13. The system of claim 10 , wherein the template comprises a two-dimensional outline of a shape corresponding to the FSO.
14. The system of claim 13 , the operations further comprising:
providing, after providing the command, a second template, comprising a two- dimensional outline of a second shape corresponding to the FSO for a second listing image, wherein the listing includes both the listing image and the second listing image.
15. The system of claim 13 , wherein the two-dimensional outline is displayed on a screen corresponding to the camera.
16. The system of claim 10 , wherein the instructions are provided to a user.
17. The system of claim 10 , wherein the camera corresponds to an app on a mobile device.
18. The system of claim 10 , the operations further comprising:
adjusting, by the one or more processors, a focus or shutter speed of the camera.
19. A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:
identifying a template for a for sale object (FSO), the template comprising one or more common images selected from one or more listings of one or more previously sold objects that are similar to the FSO;
selecting a first image of the one or more common images of the template;
determining a boundary of the first image;
determining, by the at least one computing device, that a listing image of the FSO, through a camera of a computing device, is smaller than the boundary prior to taking the listing image through the camera;
providing instructions, by the at least one computing device, via the computing device to move the FSO to more closely align to the boundary;
detecting, by the at least one computing device, that the listing image of the FSO more closely aligns to the boundary;
providing, by the at least one computing device, a command to the camera to take the listing image of the FSO responsive to the detecting that the listing image of the FSO more closely aligns to the boundary; and
generating, by the at least one computing device, a listing for the FSO using the listing image.
20. The non-transitory computer-readable medium of claim 19 , wherein the template comprises a two-dimensional outline of a shape corresponding to the FSO.