CN1658559A - Remote real-time monitoring vehide loss deviding system based on internet and its monitoring method - Google Patents
Remote real-time monitoring vehide loss deviding system based on internet and its monitoring method Download PDFInfo
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- CN1658559A CN1658559A CN 200510009761 CN200510009761A CN1658559A CN 1658559 A CN1658559 A CN 1658559A CN 200510009761 CN200510009761 CN 200510009761 CN 200510009761 A CN200510009761 A CN 200510009761A CN 1658559 A CN1658559 A CN 1658559A
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Abstract
This invention relates to the long-distance real-time monitoring the automobile damage identification system based on the internet and the monitoring method. The monitoring method network is the state that waits for the request of online data transmitted by terminals received by internet the terminals receive the request of the damage identification expert and the user, then sends the online request to video server via internet; the damage identification expert control by terminals transmits the image information to the terminals through video server and let damage identification expert and user look at video server storages the image information 005; make multilateral dialogs; conclusion. this invention makes damage identification expert not go to the spot and only stay at home or the monitoring center to monitor automobile damage identification via long-distance real-time video frequency and the privy C can take part in and look at the whole damage identification process.
Description
Technical field:
What the present invention relates to is insurance car damage identification, remote real-time monitoring technical field, specifically is a kind of remote real-time monitoring vehide loss deviding system and method for supervising thereof based on the internet.
Background technology:
Vehicle loss evaluation is the core work in the car insurance business.For a long time, owing to lack necessary information communication between domestic insurance company and the automaker, the fluctuation of the auto parts machinery market price is bigger, the technical sophistication of loss evaluation own, and need rich experiences, thus the claims personnel has been proposed very high requirement.And the region takes place and disperses in car accident, and a lot of difficult accidents require professional and technical personnel's evaluations that be on the scene in the very first time, make vehicle identify lost traffic consumption great amount of manpower and financial resources.On the one hand, the too high meeting of compensation volume brings loss to insurance company; On the other hand, the compensation volume is low excessively to suffer damage party's interests, thereby makes the very big contradiction of generation between insurance company and several sides such as insurant, Auto repair shop, has influenced the sound development of insurance business.
Summary of the invention:
The purpose of this invention is to provide a kind of remote real-time monitoring vehide loss deviding system and method for supervising thereof based on the internet, the invention solves car accident when taking place, the setting loss expert must be in the action in the very first time and identify and insure each side and need the problem that coordinate together.It comprises existing because of extra wide band network 2, and it also comprises terminal 4, user computer terminal 5, central database, the video server 3 that repair plant's terminal 1, a plurality of setting loss expert are used; The network data I/O of the terminal 4 that the network data I/O of repair plant's terminal 1, each setting loss expert use, the network data I/O of user computer terminal 5 are by having now because of the network data I/O mutual long-distance on-line of extra wide band network 2 with central database, video server 3.The step of monitoring vehicle damage identification method is: each central database, video server 3 all are to wait for by having terminal 4, the user computer terminal 5 used because of extra wide band network 2 reception repair plant terminals 1, each setting loss expert now uploading the state 001 of networking request msg; When repair plant carries out the setting loss evaluation to damaging vehicle, the terminal 4 that repair plant's terminal 1, each setting loss expert use, user computer terminal 5 are after accepting setting loss expert, client requests, ask in central database, the video server 3 because of extra wide band network 2 sends networking by existing, and networking logs in central database, the video server 3 002 after by authentication; The terminal 4 that the setting loss expert uses by the setting loss expert, central database, video server 3, existing because of extra wide band network 2 or directly by the keeper by central database, video server 3, existingly control the The Cloud Terrace 1-4 in repair plant's terminal 1, industrial Digital Video 1-3, portable video camera 1-1 because of extra wide band network 2, with realize that remote image location, image fix, image zoom, switching camera operation 003; Repair plant's terminal 1 by central database, video server 3 real-time being sent in terminal 4 that other setting loss expert uses, the user computer terminal 5, of image information for setting loss expert, client's real time inspection 004; Central database, video server 3 carry out the image information preservation and inquire about 005 fully in the future; Carry out multipartite voice actual conversation 006; Finish 007.The present invention can make the setting loss expert be in the action, and only need or carry out the setting loss monitoring of vehicle at home by the remote live video in Surveillance center, and insurance each side only needs the strange land to coordinate; And have in real time accurately, definition is high, be not subjected to the region restriction, save the manpower financial capacity, the party can participate in and watch at any time in whole setting loss process, thereby guarantee the fair and rational of setting loss process, reduce the contradiction dispute between insurance company and the insurant greatly, it can also be linked in the PEDS (being called for short the PEDS system), obtains standardized setting loss result.
Description of drawings:
Fig. 1 is an overall structure schematic diagram of the present invention, and Fig. 2 is the schematic flow sheet of monitoring vehicle damage identification method step of the present invention.
Embodiment:
In conjunction with Fig. 1, Fig. 2 present embodiment is described, it is formed by having terminal 4, user computer terminal 5, central database, the video server 3 used because of extra wide band network 2, repair plant's terminal 1, a plurality of setting loss expert now; The network data I/O of the terminal 4 that the network data I/O of repair plant's terminal 1, each setting loss expert use, the network data I/O of user computer terminal 5 are by having now because of the network data I/O mutual long-distance on-line of extra wide band network 2 with central database, video server 3.The terminal 4 that the setting loss expert uses, user computer terminal 5 can be that wired or wireless access is existing because of any multimedia computer in the extra wide band network 2.Described repair plant terminal 1 is made up of portable video camera 1-1, image data acquiring card 1-2, industrial Digital Video 1-3, The Cloud Terrace 1-4, cradle head control device 1-5, terminal computer 1-6; The image signal output end connection layout of portable video camera 1-1 is as the picture signal input of data collecting card 1-2, the image signal output end connection layout of industry Digital Video 1-3 is as another picture signal input of data collecting card 1-2, the total input of view data of the total output connecting terminal of the view data computer 1-6 of image data acquiring card 1-2, the base of industry Digital Video 1-3 is connected on the upper surface of The Cloud Terrace 1-4, the drive control signal input of The Cloud Terrace 1-4 connects the drive control signal output of cradle head control device 1-5, the The Cloud Terrace Data Control data output end of the Data Control input connecting terminal computer 1-6 of cradle head control device 1-5, the network data I/O of terminal computer 1-6 is connected because of extra wide band network 2 with existing.The model that portable video camera 1-1 selects for use is the GS200 of Panasonic, the model that image data acquiring card 1-2 selects for use is looked DS-4000HC for the Haikang prestige, the model that industry Digital Video 1-3 selects for use is Samsung SCC-421P colour (resolution 470 lines or higher, support auto iris and low-light (level)), the model that The Cloud Terrace 1-4 selects for use is the sharp PIH-302 that insults, and the model that cradle head control device 1-5 selects for use is the sharp PIH-309E that insults.The step of monitoring vehicle damage identification method is: each central database, video server 3 all are to wait for by having terminal 4, the user computer terminal 5 used because of extra wide band network 2 reception repair plant terminals 1, each setting loss expert now uploading the state 001 of networking request msg; When repair plant carries out the setting loss evaluation to damaging vehicle, the terminal 4 that repair plant's terminal 1, each setting loss expert use, user computer terminal 5 are after accepting setting loss expert, client requests, ask in central database, the video server 3 because of extra wide band network 2 sends networking by existing, and networking logs in central database, the video server 3 002 after by authentication; The terminal 4 that the setting loss expert uses by the setting loss expert, central database, video server 3, existing because of extra wide band network 2 or directly by the keeper by central database, video server 3, existingly control the The Cloud Terrace 1-4 in repair plant's terminal 1, industrial Digital Video 1-3, portable video camera 1-1 because of extra wide band network 2, with realize that remote image location, image fix, image zoom, switching camera operation 003; Repair plant's terminal 1 by central database, video server 3 real-time being sent in terminal 4 that other setting loss expert uses, the user computer terminal 5, of image information for setting loss expert, client's real time inspection 004; Central database, video server 3 carry out the image information preservation and inquire about 005 fully in the future; Carry out multipartite voice actual conversation 006; Finish 007.
Claims (3)
1, based on the remote real-time monitoring vehide loss deviding system of internet, it comprises existing because of extra wide band network (2), it is characterized in that it also comprises terminal (4), user computer terminal (5), central database, video server (3) that repair plant's terminal (1), a plurality of setting loss expert are used; The network data I/O of the terminal (4) that the network data I/O of repair plant's terminal (1), each setting loss expert use, the network data I/O of user computer terminal (5) are by having now because of the network data I/O mutual long-distance on-line of extra wide band network (2) with central database, video server (3).
2, the remote real-time monitoring vehide loss deviding system based on the internet according to claim 1 is characterized in that repair plant's terminal (1) is made up of portable video camera (1-1), image data acquiring card (1-2), industrial Digital Video (1-3), The Cloud Terrace (1-4), cradle head control device (1-5), terminal computer (1-6); The image signal output end connection layout of portable video camera (1-1) is as a picture signal input of data collecting card (1-2), the image signal output end connection layout of industry Digital Video (1-3) is as another picture signal input of data collecting card (1-2), the total input of view data of the total output connecting terminal of the view data computer (1-6) of image data acquiring card (1-2), the base of industry Digital Video (1-3) is connected on the upper surface of The Cloud Terrace (1-4), the drive control signal input of The Cloud Terrace (1-4) connects the drive control signal output of cradle head control device (1-5), the The Cloud Terrace Data Control data output end of the Data Control input connecting terminal computer (1-6) of cradle head control device (1-5), the network data I/O of terminal computer (1-6) is connected because of extra wide band network (2) with existing.
3, based on the remote real-time monitoring vehide loss deviding method of internet, it is characterized in that the step of monitoring vehicle damage identification method is: each central database, video server (3) all are to wait for by having terminal (4), the user computer terminal (5) used because of extra wide band network (2) reception repair plant's terminal (1), each setting loss expert now uploading the state (001) of networking request msg; When repair plant carries out the setting loss evaluation to damaging vehicle, the terminal (4) that repair plant's terminal (1), each setting loss expert use, user computer terminal (5) are after accepting setting loss expert, client requests, ask in central database, the video server (3) because of extra wide band network (2) sends networking by existing, and after by authentication, network and log in central database, the video server (3) (002); The terminal that the setting loss expert uses by the setting loss expert (4), central database, video server (3), existing because of extra wide band network (2) or directly by the keeper by central database, video server (3), existingly control the The Cloud Terrace (1-4) in repair plant's terminal (1), industrial Digital Video (1-3), portable video camera (1-1) because of extra wide band network (2), with realize that remote image is located, image fixes, image zoom, switching camera operation (003); Repair plant's terminal (1) by central database, video server (3) real-time being sent in terminal (4) that other setting loss expert uses, the user computer terminal (5), of image information for setting loss expert, client's real time inspection (004); Central database, video server (3) carry out image information and preserve inquiry (005) fully in the future; Carry out multipartite voice actual conversation (006); Finish (007).
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| Application Number | Priority Date | Filing Date | Title |
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| CN 200510009761 CN1658559A (en) | 2005-02-22 | 2005-02-22 | Remote real-time monitoring vehide loss deviding system based on internet and its monitoring method |
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| CN 200510009761 CN1658559A (en) | 2005-02-22 | 2005-02-22 | Remote real-time monitoring vehide loss deviding system based on internet and its monitoring method |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103310223A (en) * | 2013-03-13 | 2013-09-18 | 四川天翼网络服务有限公司 | Vehicle loss assessment system based on image recognition and method thereof |
| CN103543710A (en) * | 2013-09-24 | 2014-01-29 | 吴江智远信息科技发展有限公司 | Vehicle remote monitoring service system |
| CN104380764A (en) * | 2012-06-23 | 2015-02-25 | 奥迪股份公司 | Method for entering identification data of vehicle into user database of internet server device |
| CN105933654A (en) * | 2016-05-12 | 2016-09-07 | 芜湖恒天易开软件科技股份有限公司 | System for vehicle acceptance through video and method thereof |
| CN106599050A (en) * | 2016-11-15 | 2017-04-26 | 中国平安财产保险股份有限公司 | Method and system for automatically identifying and eliminating logical repeating items between man-hours and accessories |
| CN107038525A (en) * | 2017-03-17 | 2017-08-11 | 平安科技（深圳）有限公司 | data auditing method and device |
| CN107358596A (en) * | 2017-04-11 | 2017-11-17 | 阿里巴巴集团控股有限公司 | A kind of car damage identification method based on image, device, electronic equipment and system |
| US10789786B2 (en) | 2017-04-11 | 2020-09-29 | Alibaba Group Holding Limited | Picture-based vehicle loss assessment |
| US10817956B2 (en) | 2017-04-11 | 2020-10-27 | Alibaba Group Holding Limited | Image-based vehicle damage determining method and apparatus, and electronic device |
| US11544914B2 (en) | 2021-02-18 | 2023-01-03 | Inait Sa | Annotation of 3D models with signs of use visible in 2D images |
| US11971953B2 (en) | 2021-02-02 | 2024-04-30 | Inait Sa | Machine annotation of photographic images |
| US11983836B2 (en) | 2021-02-18 | 2024-05-14 | Inait Sa | Annotation of 3D models with signs of use visible in 2D images |
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2005
- 2005-02-22 CN CN 200510009761 patent/CN1658559A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104380764B (en) * | 2012-06-23 | 2017-09-19 | 奥迪股份公司 | For the method for the customer data base for the characteristic of vehicle being registered in Internet Server equipment |
| CN104380764A (en) * | 2012-06-23 | 2015-02-25 | 奥迪股份公司 | Method for entering identification data of vehicle into user database of internet server device |
| CN103310223A (en) * | 2013-03-13 | 2013-09-18 | 四川天翼网络服务有限公司 | Vehicle loss assessment system based on image recognition and method thereof |
| CN103543710A (en) * | 2013-09-24 | 2014-01-29 | 吴江智远信息科技发展有限公司 | Vehicle remote monitoring service system |
| CN105933654A (en) * | 2016-05-12 | 2016-09-07 | 芜湖恒天易开软件科技股份有限公司 | System for vehicle acceptance through video and method thereof |
| CN106599050B (en) * | 2016-11-15 | 2019-07-02 | 中国平安财产保险股份有限公司 | The method and system that logic duplicated project automatic identification between working hour and accessory is rejected |
| CN106599050A (en) * | 2016-11-15 | 2017-04-26 | 中国平安财产保险股份有限公司 | Method and system for automatically identifying and eliminating logical repeating items between man-hours and accessories |
| CN107038525A (en) * | 2017-03-17 | 2017-08-11 | 平安科技（深圳）有限公司 | data auditing method and device |
| CN107038525B (en) * | 2017-03-17 | 2021-03-26 | 平安科技（深圳）有限公司 | Data auditing method and device |
| CN107358596A (en) * | 2017-04-11 | 2017-11-17 | 阿里巴巴集团控股有限公司 | A kind of car damage identification method based on image, device, electronic equipment and system |
| US10789786B2 (en) | 2017-04-11 | 2020-09-29 | Alibaba Group Holding Limited | Picture-based vehicle loss assessment |
| US10817956B2 (en) | 2017-04-11 | 2020-10-27 | Alibaba Group Holding Limited | Image-based vehicle damage determining method and apparatus, and electronic device |
| US11049334B2 (en) | 2017-04-11 | 2021-06-29 | Advanced New Technologies Co., Ltd. | Picture-based vehicle loss assessment |
| US11971953B2 (en) | 2021-02-02 | 2024-04-30 | Inait Sa | Machine annotation of photographic images |
| US11544914B2 (en) | 2021-02-18 | 2023-01-03 | Inait Sa | Annotation of 3D models with signs of use visible in 2D images |
| US11983836B2 (en) | 2021-02-18 | 2024-05-14 | Inait Sa | Annotation of 3D models with signs of use visible in 2D images |
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