Method for monitoring damage to motor vehicles
A system includes a processor configured to instruct image capture of a vehicle from a plurality of predefined perspectives, the perspectives defined to result in images providing a 360 degree capture of a vehicle surface. The processor is also configured to receive a plurality of images, at least one from each perspective, of a vehicle from a mobile device camera. The processor is further configured to build a 3-D model of the vehicle surface from the images and compare the 3-D model to a stored reference model of the vehicle surface in order to recognize damage to the vehicle.
1. A system comprising:
a processor configured to:
provide instructions to a user smartphone to instruct image capture of a vehicle from a plurality of predefined perspectives, using the smartphone, the perspectives defined to result in images providing a 360 degree capture of a vehicle surface, the instructions telling the user where to stand and how to aim the smartphone to capture each of the images;
receive a plurality of images, at least one from each perspective, of a vehicle captured using the smartphone in accordance with the instructions;
build a 3-D model of the vehicle surface from the images; and
compare the 3-D model to a stored reference model of the vehicle surface in order to recognize damage to the vehicle.
2. The system of claim 1 wherein the processor is further configured to instruct the image capture over a predefined rental period, whenever a vehicle exit- event is detected.
3. The system of claim 1 , wherein the predefined perspectives are further defined to include capture of a vehicle roof.
4. The system of claim 1 , wherein he processor is further configured to store the current 3-D model each time damage is recognized to generate a damage history which is also stored.
5. The system of claim 1 , wherein he processor is further configured to:
detect a vehicle impact event via a vehicle sensor;
determine a vehicle surface affected by the impact event; and
instruct the image capture responsive to the impact event, where in the predefined perspectives include at least a perspective defined to capture the affected vehicle surface.
6. A system comprising:
a smartphone processor configured to:
request a vehicle surface image;
instruct a user of the smartphone as to a smartphone position predefined relative to the surface for image obtainment;
determine that the smartphone is at the position and responsively issue an alert to the user;
receive the image captured from the position via a smartphone camera;
receive damage indications, determined by comparing the received image to a reference image; and
display the image on the smartphone, including visually marking damage indications.
7. The system of claim 6 , wherein the vehicle surface image is an exterior surface image.
8. The system of claim 6 , wherein the vehicle surface image is an interior surface image.
9. The system of claim 6 , wherein the processor is configured to determine that the smartphone is at the position based on communication with vehicle sensors.
10. The system of claim 9 , wherein the vehicle sensor detects the smartphone at the position based on an image of a user detected by the sensors.
11. The system of claim 9 , wherein the vehicle sensor detects the smartphone at the position based on a short-range wireless communication signal between the vehicle and the mobile device.
12. The system of claim 9 , wherein the vehicle sensor detects the smartphone at the position based on a signal between the vehicle and a vehicle key.
13. The system of claim 6 , wherein the reference image includes a prior vehicle surface image.
14. The system of claim 6 , wherein the reference image includes a predefined stock expected surface image based on a vehicle leaving the assembly line.