KR20150042566A - Black Box for Clouding Service and Image Process Method Thereof - Google Patents
Black Box for Clouding Service and Image Process Method Thereof Download PDFInfo
- Publication number
- KR20150042566A KR20150042566A KR20130121374A KR20130121374A KR20150042566A KR 20150042566 A KR20150042566 A KR 20150042566A KR 20130121374 A KR20130121374 A KR 20130121374A KR 20130121374 A KR20130121374 A KR 20130121374A KR 20150042566 A KR20150042566 A KR 20150042566A
- Authority
- KR
- South Korea
- Prior art keywords
- image
- event
- unit
- power source
- vehicle
- Prior art date
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Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/02—Rear-view mirror arrangements
- B60R1/04—Rear-view mirror arrangements mounted inside vehicle
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/30—Detection related to theft or to other events relevant to anti-theft systems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62D—MOTOR VEHICLES; TRAILERS
- B62D41/00—Fittings for identifying vehicles in case of collision; Fittings for marking or recording collision areas
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D9/00—Recording measured values
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
Abstract
Description
The present invention relates to an image processing method of a clouding black box and a clouding black box, and more particularly, to a cloud processing method and an image processing method of a clouding black box and a clouding black box, And more particularly, to a video processing method of a clouding black box and a clouding black box which are used to automatically transfer image data to a video management device in a network to be used in incident handling.
Although the number of private drivers has dramatically increased in recent years, the number of drivers who have the experience to cope appropriately in the event of a traffic accident is not so large. Once a traffic accident occurs, an accident driver can be difficult to make a reasonable judgment because of an impact at the time of an accident, and can not handle a normal accident if he or she is injured or unconscious due to an accident.
In addition, there is little damage to an accident driver, but it may not know how to deal with an accident when the vehicle is damaged, and it is also difficult to collect clear evidence when a driver is mistaken for an accident There is a hassle to find witnesses.
If the vehicle is stolen, the stolen vehicle can not be remotely located where it is located. If the vehicle is parked when the vehicle is parked, or if another vehicle is impacted or another person artificially impacts the vehicle, There is a problem that it is difficult to find a vehicle or a person who has applied a risk action, and to find evidence.
What is devised to solve this problem is an accident information recording device called a so-called black box. By installing such a black box in the vehicle, it becomes easier to observe the incidental cost of the accident through the photographed moving image.
However, in the case of a general black box, there is a great difficulty in analyzing the accident situation when a loss (or loss) of an accident video stored in a black box due to a fire or a major accident is large.
Also, even if the accident video loss is not large, it is troublesome to visit a police station with an internal memory when a specific accident occurs and the user has to observe the time and cost between the perpetrator and the victim.
In addition, if the black box does not operate due to vehicle flooding, vehicle fires, or major accidents, since there is no image taken from the time of the accident, it is necessary to estimate the accident situation using only images captured before the accident, There is a difficulty in analyzing accurately.
The embodiment of the present invention can automatically transmit image data to a video management device in the cloud network upon occurrence of a certain event in which an accidental moving image may be lost due to, for example, a vehicle fire, vehicle flooding, And to provide an image processing method of a clouding black box and a clouding black box.
The clouding black box according to an embodiment of the present invention includes an image pickup unit for photographing the surroundings of a vehicle, an image processing unit for storing the captured image, address information for automatically transmitting the taken image to a video management device in the cloud network An event determination processing unit for determining at least one event of whether or not the image pickup unit can take a picture and whether or not the taken picture can be stored, And controlling the communication interface unit to transmit the photographed image to the image management apparatus based on the address information when the at least one event occurs.
The event determination processing unit may determine whether the vehicle is disconnected from the power supply to determine whether the photographing is possible and whether the vehicle can be stored.
The event determination processing unit may determine whether or not the power source for photographing is applied to determine whether or not the photographing unit is capable of photographing, and may determine the possibility of destruction of the storage unit to determine whether the photographed image can be stored .
The clouding black box further includes a main power supply unit for supplying the main power for photographing to the image pickup unit and an auxiliary power supply unit for supplying an auxiliary power for continuing the photographing to the image pickup unit when the supply of the main power is interrupted The event determination processing unit may determine whether the main power source is blocked.
The event generation processing unit may extract a captured image before the occurrence of the event and a captured image after the occurrence time of the event photographed by the auxiliary power source and provide the extracted image to the control unit.
The auxiliary power supply unit may include an emergency battery that is not charged by the main power source.
The event generation processing unit may include a fire detection sensor for detecting a fire of the vehicle, and may determine whether the captured image can be stored according to whether the fire detection sensor is operated.
The image processing method of the clouding black box according to the embodiment of the present invention is characterized in that the image pickup section captures the surroundings of the vehicle, stores the captured image, automatically manages the captured image by the image management apparatus in the cloud network The method comprising the steps of: storing address information to be transmitted; determining whether at least one of an image capturing state of the image capturing unit and a possibility of storing the captured image is available; and when the at least one event is generated, And transmitting the photographed image to the image management apparatus.
The determining of the event may determine whether the vehicle is disconnected to determine whether the photographing is possible and whether the vehicle can be stored.
Wherein the step of determining the event comprises the steps of: determining whether or not the power source for photographing is applied in order to determine whether or not the image pickup section can be photographed; determining whether or not the photographed image is stored It is possible to judge the possibility of damage of the parts.
The image processing method of the clouding black box may further include supplying a main power source for capturing the image to the image capturing unit and supplying auxiliary power for continuing the capturing to the image capturing unit when the supply of the main power source is interrupted Wherein the determining of the event may determine whether the main power source is blocked.
The step of determining the event may include extracting a photographed image before the occurrence of the event and a photographed image after the occurrence of the event photographed by the auxiliary power source and providing the extracted image for the transmission .
In the step of supplying the auxiliary power, the power of the emergency battery which is not charged by the main power may be supplied to the auxiliary power.
The determining of the event may detect a fire in the storage unit storing the captured image and determine whether the captured image can be stored according to the detected result.
1 illustrates an image processing system of a clouding black box according to an embodiment of the present invention,
FIG. 2 is a block diagram showing the detailed structure of the clouding black box of FIG. 1,
3 is a diagram illustrating an image processing process of a clouding black box according to an embodiment of the present invention,
FIG. 4 is a diagram illustrating the image processing process of FIG. 3, and FIG.
5 is a flowchart illustrating a driving process of a clouding black box according to an embodiment of the present invention.
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
1 is a view illustrating a video transmission system of a clouding black box according to an embodiment of the present invention.
1, a
The clouding
For example, the user of the clouding
The clouding
For this purpose, the clouding
Meanwhile, the clouding
For example, in the clouding
The
The
The
Also, the
The event processing devices 130_1 and 130_2 include a server operated by a police station, an insurance company, and an accident handling company. The event processing devices 130_1 and 130_2 analyze an event (or an accident) automatically received and process the event.
2 is a block diagram illustrating the structure of the clouding black box of FIG.
2, a clouding
The
To this end, the
The
The
The
The
The event
The main
The auxiliary
FIG. 3 is a view illustrating an image processing process of the clouding black box according to the embodiment of the present invention, and FIG. 4 is a diagram illustrating the image processing process of FIG.
3 and 4 together with FIG. 1, the clouding
In addition, when the predetermined event occurs, the clouding
Then, the clouding
The
After determining the severity of the event, the
The event processing devices 130_1 and 130_2 analyze the received image and process the event (S350). For example, an incident number is assigned to the received shot image, and the captured image is analyzed according to the received order to process the event. Here, the event processing devices 130_1 and 130_2 may be operation servers of a police station or an insurer.
5 is a flowchart illustrating a driving process of a clouding black box according to an embodiment of the present invention.
Referring to FIG. 5 for convenience of explanation, FIG. 5 illustrates a clouding
In addition, the clouding
Then, the clouding
As a result of the determination, if there is an event that may not be possible to capture or loss of the captured image is feared, the clouding
In this way, when a serious event occurs, the last accident image is also stored in the
While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. That is, within the scope of the present invention, all of the components may be selectively coupled to one or more of them. In addition, although all of the components may be implemented as one independent hardware, some or all of the components may be selectively combined to perform a part or all of the functions in one or a plurality of hardware. As shown in FIG. The codes and code segments constituting the computer program may be easily deduced by those skilled in the art. Such a computer program may be stored in a non-transitory computer readable medium readable by a computer, readable and executed by a computer, thereby implementing an embodiment of the present invention.
Here, the non-transitory readable recording medium is not a medium for storing data for a short time such as a register, a cache, a memory, etc., but means a medium that semi-permanently stores data and can be read by a device. Specifically, the above-described programs can be stored in non-volatile readable recording media such as CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.
While the invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention.
100: Clouding black box 110: Video management device
120: communication network 130_1, 130_2: event processing device
200: communication interface unit 210:
220: storage unit 230:
240: Event generation processing unit 250: Main power supply unit
260: auxiliary power supply
Claims (14)
A storage unit for storing the photographed image and storing address information for automatically transmitting the photographed image to a video management device in a cloud network;
A communication interface for transmitting the photographed image to the image management device;
An event determination processing unit for determining at least one of an image capturing state of the image capturing unit and a possibility of storing the captured image; And
And controlling the communication interface unit to transmit the photographed image to the video management apparatus based on the address information when the at least one event is generated as a result of the determination
Included clouding black box.
The event determination processing unit,
And determining whether or not the power source of the vehicle is disconnected in order to determine whether the photographing is possible and whether or not the vehicle can be stored.
The event determination processing unit,
A determination unit configured to determine whether or not a power source for photographing is applied to determine whether the image pickup unit can be photographed,
And determining whether the storage unit is damaged in order to determine whether the captured image can be stored.
A main power supply unit for supplying a main power for photographing to the image pickup unit; And
And an auxiliary power supply unit for supplying an auxiliary power for continuing the shooting to the imaging unit when the supply of the main power is interrupted,
Wherein the event determination processing unit determines whether the main power source is blocked or not.
Wherein the event generation processing unit extracts an image captured before the occurrence of the event and an image captured after the occurrence of the event captured by the auxiliary power source and provides the extracted image to the control unit. box.
Wherein the auxiliary power supply unit includes an emergency battery which is not charged by the main power source.
Wherein the event generation processing unit includes a fire detection sensor for detecting a fire of the vehicle and determines whether or not the captured image can be stored according to the operation of the fire detection sensor.
Storing the photographed image and storing address information for automatically transmitting the photographed image to a video management device in a cloud network;
Determining whether at least one of an image capturing state of the image capturing unit and a possibility of storing the captured image is determined; And
And transmitting the photographed image to the image management apparatus based on the address information when the at least one event occurs,
A method of image processing of a clouding black box.
Wherein the step of determining the event comprises:
And determining whether or not the power source of the vehicle is disconnected in order to determine whether the photographing is possible or not and whether the vehicle can be stored.
Wherein the step of determining the event comprises:
A determination unit configured to determine whether or not a power source for photographing is applied to determine whether the image pickup unit can be photographed,
And determining the possibility of destruction of the storage unit in which the captured image is stored in order to determine whether the captured image can be stored.
Supplying a main power source for photographing to the imaging unit; And
And supplying an auxiliary power for continuing the photographing to the image sensing unit when the supply of the main power is interrupted,
Wherein the determining of the event determines whether the main power source is blocked or not.
Wherein the step of determining the event comprises:
Wherein the control unit extracts a photographed image before the occurrence of the event and a photographed image after the generation of the event photographed by the auxiliary power source and provides the extracted image for the transmission. Processing method.
Wherein the step of supplying the sub-
And the power of the emergency battery not being charged by the main power source is supplied to the auxiliary power source.
Wherein the step of determining the event comprises:
Detecting a fire of a storage unit in which the captured image is stored, and determining whether the captured image can be stored according to the detected result.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR20130121374A KR20150042566A (en) | 2013-10-11 | 2013-10-11 | Black Box for Clouding Service and Image Process Method Thereof |
PCT/KR2014/009589 WO2015053599A1 (en) | 2013-10-11 | 2014-10-13 | Clouding black box and image processing method of clouding black box |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR20130121374A KR20150042566A (en) | 2013-10-11 | 2013-10-11 | Black Box for Clouding Service and Image Process Method Thereof |
Publications (1)
Publication Number | Publication Date |
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KR20150042566A true KR20150042566A (en) | 2015-04-21 |
Family
ID=52813359
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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KR20130121374A KR20150042566A (en) | 2013-10-11 | 2013-10-11 | Black Box for Clouding Service and Image Process Method Thereof |
Country Status (2)
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KR (1) | KR20150042566A (en) |
WO (1) | WO2015053599A1 (en) |
Cited By (8)
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KR20210136496A (en) | 2020-05-08 | 2021-11-17 | 현대자동차주식회사 | System for estimating state of health of battery using big data |
KR20210136495A (en) | 2020-05-08 | 2021-11-17 | 현대자동차주식회사 | System for controlling vehicle power using big data |
KR20210142875A (en) | 2020-05-19 | 2021-11-26 | 현대자동차주식회사 | System for controlling vehicle power using big data |
KR20210144171A (en) | 2020-05-21 | 2021-11-30 | 현대자동차주식회사 | System for controlling vehicle using disributed clouding |
KR20220057725A (en) * | 2020-10-30 | 2022-05-09 | 주식회사 올리브앤도브 | Door-Cam comprising buffer |
KR20220057726A (en) * | 2020-10-30 | 2022-05-09 | 주식회사 올리브앤도브 | Door-Cam comprising Dual Camera |
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Family Cites Families (4)
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KR20100036501A (en) * | 2008-09-30 | 2010-04-08 | (주)이시스디티에스 | Functional blackbox for automotives |
KR20110123402A (en) * | 2010-05-07 | 2011-11-15 | 주식회사 마인드웨어웤스 | System realizing blackbox function using smartphone and supporter |
KR101026631B1 (en) * | 2010-06-24 | 2011-04-04 | 남진 | System and method for controling wireless security |
KR101323229B1 (en) * | 2010-12-30 | 2013-10-30 | (주)세미솔루션 | Image recording apparatus for vehicle |
-
2013
- 2013-10-11 KR KR20130121374A patent/KR20150042566A/en not_active Application Discontinuation
-
2014
- 2014-10-13 WO PCT/KR2014/009589 patent/WO2015053599A1/en active Application Filing
Cited By (10)
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KR20210136496A (en) | 2020-05-08 | 2021-11-17 | 현대자동차주식회사 | System for estimating state of health of battery using big data |
KR20210136495A (en) | 2020-05-08 | 2021-11-17 | 현대자동차주식회사 | System for controlling vehicle power using big data |
KR20210142875A (en) | 2020-05-19 | 2021-11-26 | 현대자동차주식회사 | System for controlling vehicle power using big data |
US11904832B2 (en) | 2020-05-19 | 2024-02-20 | Hyundai Motor Company | System for controlling vehicle power using big data |
KR20210144171A (en) | 2020-05-21 | 2021-11-30 | 현대자동차주식회사 | System for controlling vehicle using disributed clouding |
US11851071B2 (en) | 2020-05-21 | 2023-12-26 | Hyundai Motor Company | System for controlling vehicles using distributed cloud computing |
KR20220057725A (en) * | 2020-10-30 | 2022-05-09 | 주식회사 올리브앤도브 | Door-Cam comprising buffer |
KR20220057726A (en) * | 2020-10-30 | 2022-05-09 | 주식회사 올리브앤도브 | Door-Cam comprising Dual Camera |
KR20220057727A (en) * | 2020-10-30 | 2022-05-09 | 주식회사 올리브앤도브 | Door-Cam comprising door open sensor |
KR20220121932A (en) | 2021-02-25 | 2022-09-02 | (주)이모션 | System for monitoring battery of vehicle |
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