Abstract: Present embodiments provide various open coil spring assemblies which perform like an encased spring assembly. The embodiments have elastic lacings or connections which connect springs to springs or springs to lacings. Various spring embodiments are provided as well as various arrangements for the elastic lacings. All of these features improve compliance and stability while reducing motion transfer.

Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.

Abstract: Present embodiments provide various open coil spring assemblies which perform like an encased spring assembly. The embodiments have elastic lacings or connections which connect springs to springs or springs to lacings. Various spring embodiments are provided as well as various arrangements for the elastic lacings. All of these features improve compliance and stability while reducing motion transfer.

Abstract: Present embodiments provide various open coil spring assemblies which perform like an encased spring assembly. The embodiments have elastic lacings or connections which connect springs to springs or springs to lacings. Various spring embodiments are provided as well as various arrangements for the elastic lacings. All of these features improve compliance and stability while reducing motion transfer.

Abstract: Present embodiments provide various open coil spring assemblies which perform like an encased spring assembly. The embodiments have elastic lacings or connections which connect springs to springs or springs to lacings. Various spring embodiments are provided as well as various arrangements for the elastic lacings. All of these features improve compliance and stability while reducing motion transfer.

Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.

Abstract: A system and computer-implemented method for classifying a level of vehicle damage includes receiving, at a remote server, captured image data of a vehicle from a user electronic device. The user electronic device has an orientation model configured to assist image capture. The image data is processed by the remote server using a damage assessment model. In addition, the remote server determines a classification for a level of damage to the vehicle based on the processed image data.

Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.

Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.

Abstract: A system and computer-implemented method for facilitating a user of a mobile device obtaining image data of damage to a vehicle for damage assessment includes capturing image data of a vehicle with the mobile device. The mobile device may include an orientation model for capturing the image data. The captured image data is analyzed, and a determination is made of the orientations of the images of the captured image data. In addition, a determination is made as to whether the captured image data can be used for the damage assessment. The captured image data may then be transmitted to a damage estimator computing device for estimating an amount of damage to the vehicle.

Abstract: A system and computer-implemented method for processing image data of a vehicle to identify one or more damaged parts includes receiving the image data of the vehicle from a policyholder. The image data is processed to determine whether the image data includes images of one or more damaged parts of the vehicle. One or more damaged parts are identified. A parts database is used to receive data corresponding to the identified one or more damaged parts. A parts list is generated including the identified one or more damaged parts and the data corresponding to the identified one or more damaged parts.

Abstract: A system for capturing images of damage to an object configured to (i) store an orientation model associated with an object; (ii) receive, from a user, a request to analyze damage to the object; (iii) instruct the user to position a camera at a first position relative to the object; (iv) receive an image of the object from the camera; (v) determine whether the received image is properly framed; (vi) if the received image is not properly framed, instruct the user to adjust the position of the camera; and (vii) if the received image is properly framed, instruct the user to position the camera at a second position relative to the object. As a result, obtaining images of sufficient quality for proper processor analysis may be facilitated.

Abstract: A system and computer-implemented method for facilitating a user of a mobile device obtaining image data of damage to a vehicle for damage assessment includes capturing image data of a vehicle with the mobile device. The mobile device may include an orientation model for capturing the image data. The captured image data is analyzed, and a determination is made of the orientations of the images of the captured image data. In addition, a determination is made as to whether the captured image data can be used for the damage assessment. The captured image data may then be transmitted to a damage estimator computing device for estimating an amount of damage to the vehicle.

Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.

Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.

Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.

Abstract: A system and computer-implemented method for automatically predicting the labor, hours, and parts costs for repair of a vehicle includes receiving one or more images of the vehicle from a policyholder. A damage assessment model is accessed. The damage assessment model corresponds to features of vehicle damage based on a plurality of damaged vehicle images contained in an image training database. The damage assessment model is compared to the images of the vehicle and vehicle damage is identified based on the images. In addition, in response to identifying the vehicle damage, total labor costs, total parts costs, and total hours for repair of the vehicle are predicted based on the associated total labor costs, total parts costs, and total hours for repair data contained in the historical claims database.

Abstract: A system for capturing images of damage to an object configured to (i) store an orientation model associated with an object; (ii) receive, from a user, a request to analyze damage to the object; (iii) instruct the user to position a camera at a first position relative to the object; (iv) receive an image of the object from the camera; (v) determine whether the received image is properly framed; (vi) if the received image is not properly framed, instruct the user to adjust the position of the camera; and (vii) if the received image is properly framed, instruct the user to position the camera at a second position relative to the object. As a result, obtaining images of sufficient quality for proper processor analysis may be facilitated.