CN110853363A - Vehicle traffic violation identification and video extraction device and method based on multiple algorithms - Google Patents
Vehicle traffic violation identification and video extraction device and method based on multiple algorithms Download PDFInfo
- Publication number
- CN110853363A CN110853363A CN201911048073.7A CN201911048073A CN110853363A CN 110853363 A CN110853363 A CN 110853363A CN 201911048073 A CN201911048073 A CN 201911048073A CN 110853363 A CN110853363 A CN 110853363A
- Authority
- CN
- China
- Prior art keywords
- video
- vehicle
- illegal
- license plate
- camera
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a vehicle traffic violation automatic identification and video extraction device and method based on multiple algorithms. The extraction device mainly realizes the access forwarding of the video stream and the extraction control of the video evidence. Meanwhile, the method for monitoring and automatically capturing the illegal behaviors such as illegal parking in real time and illegal road occupation parking by adopting the device is provided. The invention can directly butt joint the front-end high-definition camera to realize illegal scene judgment and automatic video snapshot, thereby realizing illegal evidence collection of a video mode and providing evidence integrity.
Description
Technical Field
The invention relates to a road vehicle identification monitoring method, in particular to a vehicle traffic violation automatic identification and video extraction device and method based on multiple algorithms.
Background
With the rapid increase of the quantity of retained urban automobiles, the limitation of urban road space and traffic illegal behaviors are more and more frequent, and the traffic illegal behaviors such as compaction of lines, lane change across lines, retrograde movement, occupation of bus lanes and the like not only influence the normal traffic order, but also possibly cause serious traffic accidents. The urban road traffic illegal behavior is automatically and accurately detected in real time, so that the driving behavior of a driver can be effectively standardized, the working efficiency of traffic policemen can be greatly improved, and the police force cost is reduced.
Since the first monitoring systems installed in some squares of Beijing in the early 80 s of the last century, the security industry in China has undergone the development processes of introduction, simulation, digestion, absorption and innovation. Through the development of 30 years, the security enterprises in China have experienced an analog monitoring era, a digital monitoring era and an IP network monitoring era, and have developed towards a high-definition intelligent era.
With the continuous updating of the security industry standard and the implementation of AI algorithm, artificial intelligence and the like. Automation and intellectualization have become the trend of security and related industries. The updating of safety, automation and intellectualization promotes the continuous improvement of the national requirements on the compatibility and intellectualization between security industry platforms. With the continuous expansion of the intelligent security range, the application based on the video analysis algorithm becomes the development direction of the security industry.
In the prior art, a monitoring snapshot system for traffic violation generally comprises a plurality of cameras for monitoring and snapshot and one or more cameras for road monitoring, under certain technologies, the cameras for monitoring can also adopt the same camera as the camera for snapshot, a central control unit of the snapshot system analyzes detection signals from a red light monitor and a vehicle speed detector, makes out whether the vehicle has violation behaviors of speeding and/or running red light, takes a snapshot of the violation vehicle, obtains a video clip of the violation vehicle as a punishment basis, and identifies a license plate number according to a snapshot image to determine an offender.
In the prior art, a picture capturing mode is adopted for illegal vehicles to capture pictures, and the integrity of evidence is lacked. Besides manual acquisition and snapshot, a special camera for illegal stop snapshot needs to be provided for acquiring pictures.
The invention provides a multi-algorithm capability constructed based on an AI artificial intelligence technology, accesses a high-definition camera resource with not less than 200 ten thousand pixels, takes GB28181(2016) as a video stream protocol standard, promotes automatic capture and snapshot of illegal vehicles, and realizes an automatic law enforcement function.
Disclosure of Invention
The invention provides a vehicle traffic violation automatic identification and video extraction device and method based on multiple algorithms, on one hand, the vehicle traffic violation automatic identification and video extraction device based on multiple algorithms is provided, the device comprises a central controller, a communication module, a video storage server, a video identification module and a video extraction module, and is characterized in that the video identification module further comprises:
the video acquisition module: the video acquisition module comprises a high-definition camera which can rotate and zoom, and is used for monitoring and acquiring videos of the illegal region to be detected;
a vehicle analysis module: the vehicle analysis module adopts a vehicle structural algorithm to analyze the vehicle characteristics in the video acquired by the video acquisition module in real time;
the license plate recognition module: the license plate recognition module recognizes the license plate part in the vehicle image obtained by the vehicle analysis module based on a license plate recognition algorithm, extracts the license plate number and sends the license plate number to the central controller, so that the license plate attribution and whether the vehicle is repeated can be judged;
vehicle violation identification module: the vehicle law violation identification module identifies the law violation behaviors in the violation region based on a vehicle law violation identification algorithm, sends a signal to the central controller after the violation behaviors are identified, the central controller calls the high-definition camera in the video acquisition module to control according to the violation behaviors, and the camera angle or the camera focal length is adjusted to acquire the evidence of the violation behaviors;
the video extraction device extracts the evidence judged as the illegal behavior by the illegal recognition module, extracts the illegal key frame images and the key video stream in the illegal video, uploads the extracted illegal key frame images and key video stream to the video storage server, and provides resource sharing service for users.
Further, when the parking behavior belonging to the illegal region is monitored, the illegal evidence extracted by the video extraction device comprises a medium view image and a long-range view image of the illegal vehicle in the illegal region and a video stream acquired by the swing camera.
Further, when illegal behaviors belonging to illegal lane occupation driving are monitored, the illegal evidence extracted by the video extraction device comprises images of vehicles running in illegal lane occupation areas, images of license plates of the vehicles and video streams from the time when the vehicles break into the illegal lane occupation areas to the time when the vehicles are in illegal lane occupation driving states.
The invention also provides a method for monitoring parking in an illegal area in real time and automatically capturing and obtaining evidence, which comprises the following steps:
step 1: initializing, setting, adding equipment resources, introducing a video stream into a video identification device and a video extraction device according to a GB28181(2016) standard protocol, setting an optimal snapshot angle, adding a camera preset bit, then calling the preset bit, starting illegal monitoring, and initializing video control;
step 2: starting illegal monitoring, starting a vehicle structural algorithm and a vehicle illegal recognition algorithm through a recognition device, monitoring a set area in real time, monitoring the intrusion behavior of the motor vehicle, if judging that the vehicle in the detection area belongs to illegal parking, continuing to start the following step 3, and if not, ending the process;
and step 3: carrying out video evidence locking extraction on vehicles parked illegally, and starting illegal snapshot if illegal parking time in a region exceeds 5 minutes by acquiring detection data;
and 4, step 4: the method comprises the following steps of recording illegal behaviors of local vehicles:
step 4-1: and (5) zooming out the camera, reaching the middle scene position, and staying for 3 seconds.
Step 4-2: and (5) zooming out the camera, reaching the distant view position, and staying for 3 seconds.
Step 4-3: and swinging the camera, and stopping recording after waiting for 2 seconds.
And then adjusted back to the preset position.
And 5: and finishing video recording, extracting the video, storing the video in a video storage server, and providing resource sharing service for the user.
Wherein step 3 further comprises:
step 3-1: and starting a vehicle accurate control recognition algorithm, acquiring the position of the vehicle, drawing the camera close, reaching the middle scene position, and staying for 3 seconds.
Step 3-2: and acquiring the license plate position, drawing close the camera, stopping for 3 seconds when reaching the close scene position, and identifying the license plate number of the vehicle.
Step 3-3: judging whether the license plate number is a foreign vehicle, further judging the repeatability of the license plate number if the license plate number is the foreign vehicle, and returning a preset bit for stopping video recording of the repetitive vehicles; and if the license plate number is the local vehicle, further performing the step 4.
The invention also provides a method for capturing the evidence of vehicles which occupy a bus lane, occupy an emergency lane and run in reverse in a single lane, which comprises the following steps:
step 1: initializing, setting equipment resources, introducing a video stream into a video identification device and a video extraction device according to a GB28181(2016) standard protocol, setting an optimal snapshot angle, and adding a preset camera bit. Calling a preset bit, starting illegal monitoring and initializing video control;
step 2: and (3) starting illegal monitoring, starting a vehicle structural algorithm and a vehicle illegal identification algorithm through an identification device, monitoring a set area in real time, monitoring whether vehicles come in or go out in the area, judging whether the vehicles belong to illegally-invaded vehicles, and if the vehicles belong to illegally-invaded vehicles, performing step 3, otherwise, ending the process.
And step 3: forming a first illegal vehicle picture by using an illegal vehicle picture captured in a frame extraction mode on video resources, then cutting and amplifying the vehicle picture in the screenshot by 1.5 times to form a second illegal vehicle picture, then extracting screenshot time, starting recording after 4 seconds of screenshot time is backed by historical video, and stopping recording and storing after 10 seconds;
and 4, step 4: and (3) video merging, namely merging the 10-second video, the 3-second picture (the first illegal vehicle picture) and the 2-second cut picture (the second illegal vehicle picture) in sequence to form video content, storing the video content in a video storage server, and providing resource sharing service for users.
The device for realizing automatic identification of the vehicle traffic violation behaviors and video extraction based on multiple algorithms is divided into two devices, namely an identification device and an extraction device, wherein the identification device mainly realizes real-time analysis of vehicle characteristics and monitoring of violation regions through a vehicle structural algorithm, a vehicle violation identification algorithm and a vehicle accurate control algorithm. The extraction device mainly realizes the access forwarding of the video stream and the extraction control of the video evidence.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing embodiments thereof with reference to the accompanying drawings in which:
FIG. 1 is a schematic diagram of an automatic vehicle traffic violation identification and video extraction apparatus according to the present invention;
FIG. 2 illustrates the overall data flow diagram of the present invention;
fig. 3 shows a flow chart of vehicle illegal parking recognition and video extraction in the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings and examples.
The present invention will be described in detail below with reference to the flowchart and the specific embodiments.
Fig. 1 shows a multi-algorithm-based automatic vehicle traffic violation identification and video extraction device, comprising a central controller, a communication module, a video storage server, a video identification module and a video extraction module, wherein the video identification module further comprises:
the video acquisition module: the video acquisition module comprises a high-definition camera which can rotate and zoom, and is used for monitoring and video acquisition of an illegal area to be detected;
a vehicle analysis module: the vehicle analysis module adopts a vehicle structural algorithm to analyze the vehicle characteristics in the video acquired by the video acquisition module in real time;
the license plate recognition module: the license plate recognition module recognizes the license plate part in the vehicle image obtained by the vehicle analysis module based on a license plate recognition algorithm, extracts the license plate number and sends the license plate number to the central controller, so that the license plate attribution and whether the vehicle is repeated can be judged;
vehicle violation identification module: the vehicle law violation identification module identifies the law violation behaviors in the violation region based on a vehicle law violation identification algorithm, sends a signal to the central controller after the violation behaviors are identified, the central controller calls the high-definition camera in the video acquisition module to control according to the violation behaviors, and the camera angle or the camera focal length is adjusted to acquire the evidence of the violation behaviors;
the video extraction device extracts the evidence which is judged to be illegal by the illegal identification module, extracts the illegal key frame images and the key video stream in the illegal video, uploads the extracted illegal key frame images and key video stream to the video storage server, and provides resource sharing service for users.
Further, when the parking behavior belonging to the illegal region is monitored, the illegal evidence extracted by the video extraction device comprises a medium view image and a long-range view image of the illegal vehicle in the illegal region and a video stream acquired by the swing camera.
Further, when illegal behaviors belonging to illegal lane occupation driving are monitored, the illegal evidence extracted by the video extraction device comprises images of vehicles running in illegal lane occupation areas, images of license plates of the vehicles and video streams from the time when the vehicles break into the illegal lane occupation areas to the time when the vehicles are in illegal lane occupation driving states.
Fig. 2 is a flowchart of the overall method for automatically identifying vehicle traffic violation and extracting video according to the present invention, which includes initializing a tracking queue, initializing a historical video path, initializing a coding library and other environment preparation according to step 1, then identifying and extracting the violation video according to step 2, and performing resource release and library unloading according to step 3.
According to a specific embodiment of the present invention, the method is mainly used for real-time monitoring parking in an illegal area and automatically capturing and obtaining evidence, and a specific process is shown in fig. 3, and the main process is as follows:
step 1: initializing, setting equipment resources, introducing a video stream into the recognition device and the extraction device according to a GB28181(2016) standard protocol, setting an optimal snapshot angle, and adding a preset camera bit. Calling a preset bit, starting illegal monitoring and initializing video control;
step 2: starting illegal monitoring, starting a vehicle structural algorithm and a vehicle illegal recognition algorithm through a recognition device, monitoring a set area in real time, and supervising the intrusion behavior of the motor vehicle; and if the vehicle in the detection area is judged to belong to illegal parking, continuing to start the following step 3, and if not, ending the process.
And step 3: video evidence locking extraction is carried out on vehicles parked illegally, detection data are obtained, if illegal parking time in a region exceeds 5 minutes, illegal snapshot is started, and the specific process is as follows:
step 3-1: and starting a vehicle accurate control recognition algorithm, acquiring the position of the vehicle, drawing the camera close, reaching the middle scene position, and staying for 3 seconds.
Step 3-2: and acquiring the license plate position, drawing close the camera, stopping for 3 seconds when reaching the close scene position, and identifying the license plate number of the vehicle.
Step 3-3: and judging whether the license plate number is a foreign vehicle, further judging the repeatability of the license plate number if the license plate number is the foreign vehicle, and returning a preset bit for stopping recording of the repetitive vehicles. And if the license plate number is the local vehicle, further starting the step 4.
And 4, step 4: the method comprises the following steps of recording illegal behaviors of local vehicles, wherein the specific flow is as follows:
step 4-1: the camera is zoomed out, and stays at the middle scene position for 3 seconds;
step 4-2: zooming out the camera, reaching the distant view position, and staying for 3 seconds;
step 4-3: swinging the camera, and stopping recording after waiting for 2 seconds;
and then adjusted back to the preset position.
And 5: and finishing video recording, extracting the video, storing the video in a storage resource, and providing resource sharing service for the user.
According to another specific embodiment of the invention, the method is mainly used for automatically capturing and obtaining evidence of vehicles which occupy a bus lane, an emergency lane and a single lane and run in the reverse direction, and the main process is as follows:
step 1: initializing, setting equipment resources, introducing a video stream into the recognition device and the extraction device according to a GB28181(2016) standard protocol, setting an optimal snapshot angle, and adding a preset camera bit. Calling a preset bit, starting illegal monitoring and initializing video control;
step 2: and (3) starting illegal monitoring, starting a vehicle structural algorithm and a vehicle illegal identification algorithm through an identification device, monitoring a set area in real time, monitoring whether vehicles come in or go out in the area, judging whether the vehicles belong to illegally-invaded vehicles, and if the vehicles belong to illegally-invaded vehicles, performing step 3, otherwise, ending the process.
And step 3: and forming a first illegal vehicle picture by the illegal vehicle picture captured in a frame extraction mode on the video resource. Then cutting and amplifying the vehicle picture in the screenshot by 1.5 times to form a second illegal vehicle picture, then extracting screenshot time, starting recording after 4 seconds of screenshot time is backed up through historical video, and stopping recording and storing after 10 seconds;
and 4, step 4: and (3) video merging, namely merging the 10-second video, the 3-second picture (the first illegal vehicle picture) and the 2-second cut picture (the second illegal vehicle picture) in sequence to form video content, storing the video content in a storage resource and providing resource sharing service for users.
Although the invention has been described in detail hereinabove with respect to specific embodiments thereof, it will be apparent to those skilled in the art that modifications and improvements can be made thereto without departing from the scope of the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (6)
1. The utility model provides a vehicle traffic violation automatic identification and video extraction element based on many algorithms, includes central controller, communication module, video storage server, video identification module and video extraction module, its characterized in that, the video identification module further includes:
the video acquisition module: the video acquisition module is connected with the high-definition camera, and the high-definition camera can rotate and zoom to monitor and acquire videos of illegal regions to be detected;
a vehicle analysis module: the vehicle analysis module analyzes the vehicle characteristics in the video acquired by the video acquisition module in real time by adopting a vehicle structural algorithm;
the license plate recognition module: the license plate recognition module recognizes the license plate part in the vehicle image obtained by the vehicle analysis module based on a license plate recognition algorithm, extracts the license plate number and sends the license plate number to the central controller, so that the license plate attribution and whether the vehicle is repeated can be judged;
vehicle violation identification module: the vehicle law violation identification module identifies the law violation behaviors in the violation region based on a vehicle law violation identification algorithm, sends a signal to the central controller after the violation behaviors are identified, the central controller calls the high-definition camera in the video acquisition module to control according to the violation behaviors, and the camera angle or the camera focal length is adjusted to acquire the evidence of the violation behaviors;
the video extraction device extracts the evidence judged as the illegal behavior by the illegal recognition module, extracts the illegal key frame images and the key video stream in the illegal video, uploads the extracted illegal key frame images and key video stream to the video storage server, and provides resource sharing service for users.
2. The apparatus for automatic recognition of vehicle traffic violation and video extraction based on multiple algorithms as claimed in claim 1, wherein the evidence of violation extracted by the video extraction apparatus comprises a medium view image containing the illegal vehicle in the illegal region, a long-range view image and a video stream obtained by the swing camera when the parking behavior belonging to the illegal region is monitored.
3. The device for automatically identifying and video-extracting vehicle traffic violation based on multiple algorithms as claimed in claim 1, wherein the evidence of violation extracted by the video-extracting device comprises an image of a vehicle traveling in an illegal road occupation area, an image of a license plate number of the vehicle, and a video stream from the time the vehicle enters the illegal road occupation area to the time the vehicle is in an illegal road occupation state, when the illegal behavior belonging to the illegal road occupation traveling is monitored.
4. A method for real-time monitoring and automatic snapshot evidence collection of illegal parking areas by using the device of claim 1, comprising the following steps:
step 1: initializing setting, adding equipment resources, introducing a video stream into a video recognition device and a video extraction device, setting an optimal snapshot angle, adding a camera preset bit, then calling the preset bit, starting illegal monitoring, and initializing video control;
step 2: starting illegal monitoring, starting a vehicle structural algorithm and a vehicle illegal recognition algorithm through a recognition device, monitoring a set area in real time, monitoring the intrusion behavior of the motor vehicle, if judging that the vehicle in the detection area belongs to illegal parking, continuing to start the following step 3, and if not, ending the process;
and step 3: carrying out video evidence locking extraction on vehicles parked illegally, and starting illegal snapshot if illegal parking time in a region exceeds 5 minutes by acquiring detection data;
and 4, step 4: the method comprises the following steps of recording illegal behaviors of local vehicles:
step 4-1: the camera is zoomed out, and stays at the middle scene position for 3 seconds;
step 4-2: zooming out the camera, reaching the distant view position, and staying for 3 seconds;
step 4-3: swinging the camera, and stopping recording after waiting for 2 seconds;
then, adjusting back to a preset position;
and 5: and finishing video recording, extracting the video, storing the video in a video storage server, and providing resource sharing service for the user.
5. The method for parking real-time monitoring and automatic snapshot evidence collection for illegal regions according to claim 4, wherein said step 3 further comprises:
step 3-1: starting a vehicle accurate control recognition algorithm, acquiring a vehicle position, acquiring the vehicle position, drawing a camera close, reaching a middle scene position, and staying for 3 seconds;
step 3-2: and acquiring the license plate position, drawing close the camera, stopping for 3 seconds when reaching the close scene position, and identifying the license plate number of the vehicle.
Step 3-3: and (4) judging whether the license plate number is a foreign vehicle, further judging the repeatability of the license plate number if the license plate number is the foreign vehicle, returning a preset bit to the vehicle which belongs to the repeatability and stops recording, and further performing the step 4 if the license plate number is the local vehicle.
6. A method for automatically capturing and obtaining evidence for detecting vehicles which occupy a bus lane, an emergency lane and a single-lane in a retrograde motion by adopting the device as shown in claim 1 comprises the following specific steps:
step 1: initializing setting, adding equipment resources, introducing a video stream into a video recognition device and a video extraction device, setting an optimal snapshot angle, adding a camera preset bit, calling the preset bit, starting illegal monitoring and initializing video control;
step 2: starting illegal monitoring, starting a vehicle structural algorithm and a vehicle illegal identification algorithm through an identification device, monitoring a set area in real time, monitoring whether vehicles come in and go out in the area, judging whether the vehicles belong to illegally-invaded vehicles, if so, performing step 3, and otherwise, ending the process;
and step 3: forming a first illegal vehicle picture by using an illegal vehicle picture captured in a frame extraction mode on video resources, then cutting and amplifying the vehicle picture in the screenshot by 1.5 times to form a second illegal vehicle picture, then extracting screenshot time, starting recording after 4 seconds of screenshot time is backed by historical video, and stopping recording and storing after 10 seconds;
and 4, step 4: and (4) merging the videos, namely merging the 10-second videos, the 3-second freezing pictures and the 2-second freezing pictures, forming video contents, storing the video contents in a video storage server, and providing resource sharing service for users.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911048073.7A CN110853363A (en) | 2019-10-30 | 2019-10-30 | Vehicle traffic violation identification and video extraction device and method based on multiple algorithms |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911048073.7A CN110853363A (en) | 2019-10-30 | 2019-10-30 | Vehicle traffic violation identification and video extraction device and method based on multiple algorithms |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110853363A true CN110853363A (en) | 2020-02-28 |
Family
ID=69598949
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911048073.7A Pending CN110853363A (en) | 2019-10-30 | 2019-10-30 | Vehicle traffic violation identification and video extraction device and method based on multiple algorithms |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110853363A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114172871A (en) * | 2021-12-13 | 2022-03-11 | 以萨技术股份有限公司 | Data processing system, method and storage medium based on video violation detection |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060095612A (en) * | 2005-02-28 | 2006-09-01 | 삼인데이타시스템 (주) | The system and the method of a unmanned control for illegality stop and parking car |
| CN107305627A (en) * | 2016-04-22 | 2017-10-31 | 杭州海康威视数字技术股份有限公司 | A kind of automobile video frequency monitoring method, server and system |
| CN107705574A (en) * | 2017-10-09 | 2018-02-16 | 荆门程远电子科技有限公司 | A kind of precisely full-automatic capturing system of quick road violation parking |
| CN109637154A (en) * | 2019-01-25 | 2019-04-16 | 合肥市智信汽车科技有限公司 | A kind of on-vehicle vehicle is separated to stop automatic identification and grasp shoot device |
-
2019
- 2019-10-30 CN CN201911048073.7A patent/CN110853363A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060095612A (en) * | 2005-02-28 | 2006-09-01 | 삼인데이타시스템 (주) | The system and the method of a unmanned control for illegality stop and parking car |
| KR100719458B1 (en) * | 2005-02-28 | 2007-05-17 | 삼인데이타시스템 (주) | The system and the method of a unmanned control for illegality stop and parking car |
| CN107305627A (en) * | 2016-04-22 | 2017-10-31 | 杭州海康威视数字技术股份有限公司 | A kind of automobile video frequency monitoring method, server and system |
| CN107705574A (en) * | 2017-10-09 | 2018-02-16 | 荆门程远电子科技有限公司 | A kind of precisely full-automatic capturing system of quick road violation parking |
| CN109637154A (en) * | 2019-01-25 | 2019-04-16 | 合肥市智信汽车科技有限公司 | A kind of on-vehicle vehicle is separated to stop automatic identification and grasp shoot device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114172871A (en) * | 2021-12-13 | 2022-03-11 | 以萨技术股份有限公司 | Data processing system, method and storage medium based on video violation detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104332052B (en) | Recognition method for automatic capture for pedestrian red light punishment | |
| CN201655024U (en) | Junction traffic information comprehensive measurement alarm system | |
| US20120148092A1 (en) | Automatic traffic violation detection system and method of the same | |
| CN104574998A (en) | Vehicle-mounted type device and method for detecting violations | |
| CN102142193A (en) | Automatic detection system and method for illegal traffic behaviors | |
| CN101964145A (en) | Automatic license plate recognition method and system | |
| US20020072847A1 (en) | Vision-based method and apparatus for monitoring vehicular traffic events | |
| CN101196989B (en) | Network built-in type multiplex license plate detecting system and method thereof | |
| CN105679043A (en) | 3D radar intelligent bayonet system and processing method thereof | |
| CN101847318B (en) | Computer-aided video capture and identification system | |
| CN103258429A (en) | Video detecting method aims at vehicles which enter into jammed intersection by force | |
| CN104318769A (en) | Violation vehicle monitoring and alarming system and method | |
| CN104282154A (en) | Vehicle overload monitoring system and method | |
| CN103150899B (en) | The monitoring method of Traffic Information, Apparatus and system | |
| CN105185108A (en) | Automatic snapshot system of illegal parking at yellow grid lines | |
| CN106683400A (en) | Method and a system for obtaining evidence by capturing vehicles at traffic crossing under panoramic video detection | |
| CN103647896A (en) | Infrared illegal-parking intelligent high-speed dome and control method thereof | |
| CN112435478A (en) | Off-site illegal management method and system based on roadside parking high-order video equipment | |
| CN114005074B (en) | Traffic accident determination method and device and electronic equipment | |
| CN111105621A (en) | Method and device for detecting illegal parking | |
| CN112381014A (en) | Illegal parking vehicle detection and management method and system based on urban road | |
| CN204833705U (en) | Illegal automatic snapshot system that parks of yellow gridlines | |
| CN113112813B (en) | Illegal parking detection method and device | |
| CN110853363A (en) | Vehicle traffic violation identification and video extraction device and method based on multiple algorithms | |
| CN104599510A (en) | Dual-camera velocimeter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200228 |