Augmented reality method for repairing damage or replacing physical objects

A method for automatically replacing a non-vehicle physical object located inside a home of a customer after a loss causing incident comprising the steps of:

• prior to a loss causing incident, creating an inventory of a plurality of non-vehicle physical objects associated with a home of a customer, wherein the inventory is automatically generated from images of the non-vehicle physical objects and wherein the non-vehicle physical objects are non-vehicle personal items inside the home of the customer;
• wherein creating the inventory includes capturing a first image using a remote device having a camera, the first image including a first physical object of the plurality of non-vehicle physical objects and a second physical object of the plurality of non-vehicle physical objects, the first physical object being spaced apart from the second physical object, wherein the first image is taken prior to the loss causing incident, and wherein each of the first physical object and the second physical object is captured in its initial state;
• wherein creating the inventory further comprises automatically identifying each of the non-vehicle physical objects in the first image using machine vision algorithms and gathering inventory data for each of the non-vehicle physical objects identified in the first image, wherein the inventory data includes at least a purchase price for the identified non-vehicle physical object, the purchase price being automatically retrieved from a purchase history of the customer;
• after the loss causing incident, capturing a second image using a networked surveillance camera in the home of the customer, the networked surveillance camera being different from the remote device used to capture the first image, the second image including the first physical object and the second physical object, wherein the second image is taken after the first image, and wherein each of the first physical object and the second physical object is captured in its modified state;
• detecting differences between each of the first physical object and the second physical object in its initial state and in its modified state using the machine vision algorithms to compare the initial and modified states of the first physical object and the second physical object;
• determining that the first physical object needs to be replaced;
• determining a replacement cost for the first physical object;
• replacing the first physical object;
• determining that the second physical object needs to be repaired;
• determining a repair cost for the second physical object;
• and
• repairing the second physical object.

A method of visualizing damage to a non-vehicle physical object inside a home of a customer comprising the steps of:

• prior to a loss causing incident, creating an inventory of a plurality of non-vehicle physical objects associated with a home of a customer, wherein the inventory is automatically generated from images of the non-vehicle physical objects and wherein the non-vehicle physical objects are non-vehicle personal items inside the home of the customer;
• wherein creating the inventory includes capturing a first image using a remote device having a camera, the first image including a first physical object of the plurality of non-vehicle physical objects and a second physical object of the plurality of non-vehicle physical objects, the first physical object being spaced apart from the second physical object, wherein the first image is taken prior to the loss causing incident, and wherein each of the first physical object and the second physical object is captured in its initial state;
• wherein creating the inventory further comprises automatically identifying each of the non-vehicle physical objects in the first image using machine vision algorithms and gathering inventory data for each of the non-vehicle physical objects identified in the first image, wherein the inventory data includes at least a purchase price for the identified physical object, the purchase price being automatically retrieved from a purchase history of the customer;
• after the loss causing incident, capturing a second image using a networked surveillance camera in the home of the customer, the networked surveillance camera being different from the remote device used to capture the first image, the second image including the first physical object and the second physical object, wherein the second image is taken after the first image, and wherein each of the first physical object and the second physical object is captured in its modified state;
• detecting differences between each of the first physical object and the second physical object in its initial state and in its modified state;
• based on the detected differences, determining one of the first physical object and the second physical object needs to be repaired and the other needs to be replaced;
• displaying each of the first physical object and the second physical object in its modified state;
• and
• providing a transformation tool, wherein the transformation tool can be used to transform each of the displayed first physical object and second physical object from its modified state to its initial state.