CN108256502B - Security system based on image procossing - Google Patents
Security system based on image procossing Download PDFInfo
- Publication number
- CN108256502B CN108256502B CN201810131220.6A CN201810131220A CN108256502B CN 108256502 B CN108256502 B CN 108256502B CN 201810131220 A CN201810131220 A CN 201810131220A CN 108256502 B CN108256502 B CN 108256502B
- Authority
- CN
- China
- Prior art keywords
- image
- automobile
- lightness
- car door
- form region
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
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Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Mechanical Engineering (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Burglar Alarm Systems (AREA)
- Emergency Alarm Devices (AREA)
Abstract
Description
Claims (1)
- The alarm platform 1. a kind of automotive window is cracked, the platform include:The front end of automobile is arranged in car door detection device, connect respectively with four Car's door controlling devices of automobile;Wherein, the car door detection device is used to receive the current state of each car door;Wherein, the car door detection device is also used to when determining that four car doors are all in off state, and issues lock signal on car door, Otherwise, it issues the non-lock signal of car door and is simultaneously emitted by unlocked door position;The front end of automobile is arranged in engine condition analytical equipment, connect with the engine of automobile;Wherein, the engine condition analytical equipment is stopped working for detecting whether engine is in flameout state with corresponding issue Detect signal or operation detection signal;Starting device is imaged, is connect respectively with the engine condition analytical equipment and the car door detection device;Wherein, the camera shooting starting device is used in lock signal on receiving the misfire detection signal and the car door, It controls interior photographic unit and enters screening-mode, otherwise, control interior photographic unit and exit screening-mode;It is characterized in that, the platform further include:Interior photographic unit, setting are described for automobile indoor setting image to be shot and exported to automobile indoor setting in automotive interior Interior photographic unit is built-in with pre-acquired unit, skin texture detection unit and resolution adjustment unit;The pre-acquired unit is used to carry out image pre-acquired to automobile indoor setting to obtain pre-acquisition image;The skin texture detection unit is connect with the pre-acquired unit, for receiving the pre-acquisition image and estimating described pre- adopt Collect the texture variations amplitude of image;The resolution adjustment unit is connect with the skin texture detection unit, for the texture variations based on the pre-acquisition image Amplitude adjusts the resolution ratio of the automobile indoor setting image of the interior photographic unit shooting;Wherein, the resolution adjustment unit base Include: in the resolution ratio that the texture variations amplitude of the pre-acquisition image adjusts the high-definition image of the interior photographic unit shooting The texture variations amplitude of the pre-acquisition image is bigger, and the resolution ratio of the high-definition image of the car photographic unit shooting is higher;Window frame detection device, is arranged in the instrument board of automobile, connect with the interior photographic unit, for receiving the automobile Indoor setting image carries out edge detection to the content in the automobile indoor setting image, more in the automobile indoor setting image to obtain A edge line, the multiple edge line include multiple horizontal edge lines, multiple vertical edge lines and multiple other types edge lines, The horizontal edge line for taking the horizontal edge line of the top and bottom in the multiple horizontal edge line takes multiple vertical edge lines The vertical edge line of the middle leftmost side and the vertical edge line of the rightmost side obtain rectangle subgraph based on above-mentioned four edges edge line;Lightness detection device is connect with the window frame detection device, for receiving the automobile indoor setting image and rectangle The region of the non-rectangle subgraph in the automobile indoor setting image is determined as non-form region, by the rectangle by image Region of the subgraph in the automobile indoor setting image is determined as form region;For each of form region pixel Point calculates the average value of centered on it, each pixel in surrounding 7 pixels × 7 pixel regions lightness to put down as it Equal lightness, the mean lightness based on each pixel in the form region obtain the corresponding mean lightness of the form region Image;For each of non-form region pixel, centered on it, surrounding 7 pixels × 7 pixel regions are calculated The average value of the lightness of interior each pixel is using as its mean lightness, based on each pixel in the non-form region Mean lightness obtains the corresponding mean lightness image of the non-form region;Forms identify equipment, connect with the lightness detection device, execute for the mean lightness image to the form region Statistics with histogram obtains the histogram vectors of the corresponding lightness of the form region using as forms histogram vectors, to described The mean lightness image of non-form region executes statistics with histogram, obtain the histogram of the corresponding lightness of the non-form region to Measure using as non-forms histogram vectors, be also used to the mould of the difference in non-forms histogram Yu forms histogram vectors greater than etc. When default lightness difference, identification success signal is issued, and the form region is exported, and in non-forms histogram and window When the mould of the difference of Histogram volume vector is less than default lightness difference, recognition failures signal is issued;Embedded processing chip, is arranged in the instrument board of automobile, identifies that equipment and the window frame are detected with the forms respectively Equipment connection, for being 1 to stop to the vapour by built-in state register tagging when receiving the identification success signal The forms of interior scape image identify, are also used to when receiving the recognition failures signal, are 0 by built-in state register tagging The area of the rectangle subgraph is reduced, to control the window frame detection device based on the multiple edge line in order to be stated clearly Spend the processing again of detection device and forms identification equipment;Wherein, the embedded processing chip is also used to receiving After the identification success signal, cracks to form region execution and detect operation, and exist in confirming the form region When cracking, alarm signal of cracking is issued, otherwise, issues forms normal signal.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810131220.6A CN108256502B (en) | 2018-02-09 | 2018-02-09 | Security system based on image procossing |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810131220.6A CN108256502B (en) | 2018-02-09 | 2018-02-09 | Security system based on image procossing |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108256502A CN108256502A (en) | 2018-07-06 |
CN108256502B true CN108256502B (en) | 2019-01-25 |
Family
ID=62744302
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810131220.6A Active CN108256502B (en) | 2018-02-09 | 2018-02-09 | Security system based on image procossing |
Country Status (1)
Country | Link |
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CN (1) | CN108256502B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109204106B (en) * | 2018-08-27 | 2020-08-07 | 浙江大丰实业股份有限公司 | Stage equipment moving system |
CN111332199A (en) * | 2020-02-20 | 2020-06-26 | 广州小鹏汽车科技有限公司 | Vehicle energy box cover closing reminding method and device |
CN115798169A (en) * | 2021-09-09 | 2023-03-14 | 昆山研达电脑科技有限公司 | System and method for reminding abnormal vehicle after parking |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100401863B1 (en) * | 2001-06-22 | 2003-10-17 | 현대자동차주식회사 | a warning apparatus of the emergency valve of a bus door |
CN102529849B (en) * | 2011-12-15 | 2014-10-01 | 奇瑞汽车股份有限公司 | Vehicle window closing reminding device and method |
CN202413616U (en) * | 2011-12-22 | 2012-09-05 | 詹卫炜 | Device for reminding that automobile window is not closed |
CN202439626U (en) * | 2012-02-18 | 2012-09-19 | 罗玉 | Car door and window close state prompter |
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2018
- 2018-02-09 CN CN201810131220.6A patent/CN108256502B/en active Active
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Publication number | Publication date |
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CN108256502A (en) | 2018-07-06 |
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PB01 | Publication | ||
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SE01 | Entry into force of request for substantive examination | ||
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TA01 | Transfer of patent application right |
Effective date of registration: 20181129 Address after: 066004 Hebei Qinhuangdao economic and Technological Development Zone, the Yanghe River Road, 12 e valley, creative space C area two level 17. Applicant after: Hebei Zhongyan Technology Services Limited Address before: 215415 No. 18 Jianye Road, Fuhao Economic Development Zone, Shuangfeng Town, Taicang City, Jiangsu Province Applicant before: Wang Gang |
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TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20181207 Address after: 066000 Hebei Province Qinhuangdao City Haigang District, Hebei Street 141, Building 2, Three Floors Applicant after: Qinhuangdao jiaxang Photoelectric Technology Co., Ltd. Address before: 066004 Hebei Qinhuangdao economic and Technological Development Zone, the Yanghe River Road, 12 e valley, creative space C area two level 17. Applicant before: Hebei Zhongyan Technology Services Limited |
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GR01 | Patent grant |