WO2018068579A1 - 交通影音接收与分析*** - Google Patents
交通影音接收与分析*** Download PDFInfo
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- WO2018068579A1 WO2018068579A1 PCT/CN2017/097655 CN2017097655W WO2018068579A1 WO 2018068579 A1 WO2018068579 A1 WO 2018068579A1 CN 2017097655 W CN2017097655 W CN 2017097655W WO 2018068579 A1 WO2018068579 A1 WO 2018068579A1
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- 238000004458 analytical method Methods 0.000 claims abstract description 54
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
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- 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
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- 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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
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- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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- G—PHYSICS
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- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/056—Detecting movement of traffic to be counted or controlled with provision for distinguishing direction of travel
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Definitions
- the invention relates to a traffic video receiving and analyzing system, in particular to a camera for detecting light field data via a distance recognition detector (for example, infrared, sonar, laser radar, magnetic field, electromagnetic interference field detector).
- a distance recognition detector for example, infrared, sonar, laser radar, magnetic field, electromagnetic interference field detector.
- a system that performs functions of imaging, video, depth data, sound field, magnetic field, EMI field, and light field.
- the traffic situation analysis and notification system obtains an image of the traffic scene through the camera equipment, and analyzes the image. Restore the situation on site and understand the cause of the accident.
- Image recognition technology has been widely used in such traffic condition analysis and notification systems.
- Most of the current applications are image recognition of image data of a single camera device (such as license plate recognition, traffic flow detection, face detection/identification, displacement detection, personnel). Tracking, directional movement detection, electronic fences, object legacy, camera equipment cover, face detection, etc.), after the identification is completed, image features (such as license plate number, vehicle color, vehicle type, vehicle brand model, large / Information on the number of small/locomotives, object position, object size, directionality, etc. is stored and displayed. Without a more comprehensive analysis and utilization of the identification results of different characteristics, it is a waste of a lot of computing resources.
- the traffic condition analysis and notification system is known to provide basic camera equipment only at the road site, and to connect the plurality of camera devices to a remote server through the network, when the traffic situation analysis and notification system is known
- the traffic situation analysis and notification system is known
- all analysis and calculation functions must be sent to the remote server. The information is time-consuming and slow, and it is impossible to respond immediately to the on-site conditions, which is not ideal.
- the inventor has developed and designed a traffic video receiving and analyzing system of the present invention after many years of research and adjustment based on his long experience in serving related industries. Through the present invention, the defects of the known traffic condition analysis and notification system can be improved.
- the main object of the present invention is to provide a traffic video receiving and analyzing system, which is composed of a plurality of monitoring devices, each of which includes a control unit, a camera unit, a storage unit and an analysis.
- a unit wherein the camera unit is electrically connected to the control unit to be controlled by the control unit to perform an imaging function; the storage unit is electrically connected to the control unit and the camera unit to receive and store the camera unit recorded by the camera function
- An image frame is electrically connected to the control unit and the storage unit to read the image frame stored in the storage unit, and the image frame can be analyzed according to at least one analysis condition preset .
- each of the monitoring devices can analyze the image frame through the analysis unit, predict the situation in advance, determine in the event, or record the occurrence of the traffic event afterwards.
- At least one of the plurality of analysis conditions is a moving object identification condition
- the analyzing unit when the analyzing unit identifies a moving object according to the moving object identification condition, the analyzing unit performs a simulation operation. To obtain a simulated moving path corresponding to the moving object.
- the simulation operation performed by the analysis unit can pre-calculate the possible movement trajectory of various vehicles and even pedestrians, and can further serve as an evaluation basis for predicting traffic conditions in advance.
- each of the monitoring devices further includes a wireless transmission unit electrically connected to the control unit, and any monitoring device of the system can pass through the wireless transmission unit and another monitoring device of the system. transmit information.
- each monitoring device can obtain image images acquired at different angles by sharing information with each other, and perform comprehensive analysis to improve the accuracy and credibility of various analysis.
- the analysis unit of each monitoring device can receive another image frame of another monitoring device, and according to the image frame of the monitoring device, and the another image frame of the another monitoring device. Exercising a simulation operation to obtain the simulated movement path corresponding to the moving object. In this way, by comprehensively analyzing the image images acquired at different angles, the prediction result of the simulated moving path can be more accurate.
- the system further includes a sound receiving unit electrically connected to the control unit and the storage unit to be controlled by the control unit to perform a recording function, and store the recorded sound signal in the storage. unit.
- a sound receiving unit electrically connected to the control unit and the storage unit to be controlled by the control unit to perform a recording function, and store the recorded sound signal in the storage. unit.
- At least one of the plurality of analysis conditions is an accident feature identification condition
- the analysis unit determines that an accident occurs according to the accident feature identification condition
- an event is sent to the control unit. Recording a signal, so that the control unit can record the plurality of image frames in a predetermined time range as an event recording screen according to the event recording signal, and store the plurality of sound signals in the predetermined time range as one Event recording audio.
- the sounds and images before and after the incident can be stored as the event recording audio and the event recording screen, so as to clarify the responsibility for the incident.
- the system further includes a server, the server being connected to the plurality of monitoring devices via a network, and capable of receiving information sent by the plurality of monitoring devices.
- the server being connected to the plurality of monitoring devices via a network, and capable of receiving information sent by the plurality of monitoring devices.
- the system further includes an open flame sensor electrically connected to the control unit to send an alarm signal to the control unit when the fire sensor detects a fire.
- the control unit is enabled to send a notification signal to the server over the network.
- Another object of the present invention is to receive the traffic video and audio.
- the analysis system is installed on a street lamp device and a street light pole.
- the traffic video receiving and analyzing system of the present invention can be quickly constructed without incurring extra cost or occupying extra space. Effectively solve the problem of funding and space utilization faced by modernization construction.
- FIG. 1 is a system architecture diagram of a preferred embodiment of the present invention.
- FIG. 2 is a schematic diagram of applying the monitoring device of the present invention to an intersection traffic sign.
- a traffic video receiving and analyzing system of the present invention is composed of a plurality of monitoring devices 11, each of which includes a control unit. 111 (such as a central processing unit, CPU), a camera unit 112, a storage unit 113 (such as a storage or hard disk), an analysis unit 114 and a radio unit 116.
- a control unit. 111 such as a central processing unit, CPU
- a camera unit 112 such as a camera
- storage unit 113 such as a storage or hard disk
- an analysis unit 114 such as a storage or hard disk
- radio unit 116 such as a radio unit 116.
- each of the monitoring devices 11 can be separately disposed on the first light 2, and the present invention is not limited thereto.
- the traffic video receiving and analyzing system of the present invention is generally and universally constructed to form a more complete traffic safety network, and each monitoring device 11 can also be disposed on a street light device.
- each monitoring device 11 can also be disposed on a street light device.
- the traffic video receiving and analyzing system 1 of the present invention can be quickly constructed without incurring extra cost or occupying extra space, and effectively solves the problem of capital and space utilization faced by the modernization building during the promotion.
- the camera unit 112 and the sound unit 116 are electrically connected to the control unit 111 to be controlled by the control unit 111 to perform an imaging function or a recording function.
- the storage unit 113 is electrically connected to the control unit 111, the camera unit 112, and the sound unit 116 to receive and store an image captured by the camera unit 112 through the camera function, and/or receive and store the sound unit. 116 recorded a sound signal.
- the analyzing unit 114 is electrically connected to the control unit 111 and the storage unit 113 to read the image frame stored in the storage unit 113 and/or read the sound signal stored in the storage unit 113.
- the analyzing unit 114 can analyze the image frame according to at least one analysis condition set in advance.
- at least one of the plurality of analysis conditions is a moving object recognition condition, and when the analyzing unit 114 identifies a moving object 3 according to the moving object identification condition (for example, a pedestrian)
- the analysis unit 114 performs a simulation operation to acquire a simulated movement path corresponding to the moving object 3 when the vehicle or the unmanned aerial vehicle or the like.
- the simulation operation performed by the analysis unit 114 can pre-calculate the possible movement trajectory of various vehicles and even pedestrians, and can further serve as an evaluation basis for predicting traffic conditions in advance.
- a particular vehicle is traveling at an abnormal speed and other objects are present on the predicted simulated path, it may be judged to be potentially dangerous; or, if the identified moving object 3 is an unmanned flight
- a (Drone, or Unmanned Aerial Vehicle, abbreviated as UAV) is used, when it is judged that it is moving in the direction of the air traffic control area (such as the vicinity of the airport or the location of an important government agency, etc.), a warning message may be issued in advance to notify the The operator of the unmanned aerial vehicle is caused to change the navigation route of the unmanned aerial vehicle.
- UAV Unmanned Aerial Vehicle
- the main features of the traffic accident include the sudden increase in the volume of the radio, the recording of the clearly recognizable collision sound, the slow or falling speed of the vehicle flow, the overlap of two or more moving objects, the non-crash time or non-stop.
- the traffic lights are waiting, the leftovers are found on the road (the vehicle stays on the road after the collision), the traffic jam occurs after the accident, the traffic changes lanes after the accident, and the acceleration of the object suddenly increases (the vehicle or the person is hit and flies).
- the above features can be acquired by the imaging unit 112 and the radio unit 116 , and analyzed by the analysis unit 114 .
- the present invention can be applied to the mobile path simulation operation. Can also be used for accident analysis.
- At least one of the plurality of analysis conditions is an accident feature identification condition (such as the aforementioned collision sound, overlapping event, or remnant, etc., when recognized)
- an accident feature identification condition such as the aforementioned collision sound, overlapping event, or remnant, etc., when recognized
- an event recording signal is sent to the control unit 111, so that the control unit 111 can
- the event recording signal stores the plurality of image frames within a predetermined time range as an event recording screen, and stores the plurality of sound signals in the predetermined time range as an event recording audio.
- these continuously recorded monitoring systems do not store all acquired image frames and/or sound signals for a long time, but are constantly covered with subsequent acquired image frames and/or sound signals. Replace the original storage content.
- the present invention records the signal by the foregoing event, and in the case of a suspected accident, for a predetermined time range (for example, from the time point when the accident is judged, the forward calculation is 3 minutes, the backward calculation is 7 minutes, etc.,
- the plurality of image frames and sound signals stored in the limit are respectively stored as an event recording screen and an event recording audio, and are additionally stored so as not to be covered or replaced by subsequent information acquired by normality and persistence, that is,
- the sounds and images before and after the incident can be stored as the event recording audio and the event recording screen, so as to clarify the responsibility for the incident.
- each of the monitoring devices 11 further includes a wireless transmission unit 115.
- the wireless transmission unit 115 is electrically connected to the control unit 111, and any monitoring device 11 of the system can transmit information to the other monitoring system 1 through the wireless transmission unit 115 under the control of the control unit 111.
- Device 11 In detail, each of the analysis units 114 of the monitoring device 11 can not only read the image images and sound signals stored in the respective storage units 113, but also acquire the information by sharing the information at different angles and distances. The image and sound signals are analyzed and comprehensively analyzed to improve the accuracy and credibility of various analyses.
- each of the monitoring devices 11 shares the acquired image frames through the wireless transmission units 115, and acquires different angles by the camera units 112 through real-time video splicing technology.
- the image of the position is instantly stitched and constructed to form a full-frame (for example, a 180-degree angle of view) image or a specific angle of the image.
- a full-frame for example, a 180-degree angle of view
- many advantages can be achieved through these technologies.
- the operator of the unmanned aerial vehicle can obtain the processed image frame through each of the wireless transmission units 115, thereby enabling visual confirmation of the unmanned flight at any time.
- the flight status of the vehicle since some cities have stricter regulations on unmanned aerial vehicles, their specifications may require operators of unmanned aerial vehicles to maintain unmanned aerial vehicles when operating unmanned aerial vehicles. It is within its line of sight.
- the operator of the unmanned aerial vehicle can obtain the processed image frame through each of the wireless transmission units 115, thereby enabling visual confirmation of the unmanned flight at any time. The flight status of the vehicle.
- the analyzing unit 114 of the present invention can acquire a simulated moving path corresponding to the moving object 3 by performing a simulation operation.
- the analysis unit 114 can receive another when performing the simulation operation. Monitoring another image of the device 11 and performing a simulation operation according to the image frame of the monitoring device 11 and the other image frame of the other monitoring device 11 to acquire the corresponding image of the moving object 3 Simulate the moving path.
- the comprehensively analyzed (for example, the aforementioned real-time video splicing) image images acquired at different angles can make the prediction result of the simulated moving path more accurate.
- the system further includes a server 12, which is connected to the plurality of monitoring devices 11 through a network, and can receive the plurality of monitoring devices 11 The information sent.
- a server 12 which is connected to the plurality of monitoring devices 11 through a network, and can receive the plurality of monitoring devices 11 The information sent.
- the event recording audio and the event recording screen can be sent to the server 12, so that the event recording audio and the event recording screen can be stored for a long time by the server 12, and the event can be recorded and the event can be recorded.
- the storage space in the storage unit 113 is released for subsequent application.
- each of the monitoring devices 11 of the present invention can perform basic analysis operations by itself, it is difficult to expect that each of the monitoring devices 11 is equipped with an apparatus sufficient for processing complicated operations based on cost considerations.
- the event recording audio and the event recording screen are transmitted to the server 12, and the high-level software and hardware resources built in the server 12 can be unified to perform an analysis operation with higher complexity and the monitoring device 11 itself cannot perform.
- a good division of labor effect can be achieved, that is, each of the monitoring devices 11 uses each of the wireless transmission units 115 to share information with each other, and performs basic operations to provide the most immediate and first-hand information; For more detailed and sophisticated analysis, as well as long-term preservation of data, relevant information is transmitted to the server 12 for execution.
- This method effectively avoids the shortcomings of traditional methods in which all analysis must be sent to the remote end for analysis, and the information is time-consuming and time-consuming, and it also has the possibility of performing precise operations, and at the same time takes into account the overall set. cost.
- the system 1 further includes a flame detector 117 (Flame detector) ).
- a flame detector 117 Flume detector
- the open flame sensor 117 is also designed into various types, such as a detector for detecting near-infrared light (nfra- Red (IR) based flame detectors), ultra-violet (UV) based flame detectors or a mixture of the two, even a dual band infrared flame detector or three bands
- IR near-infrared light
- UV ultra-violet
- the open flame sensor 117 of the present invention is not limited to the above list.
- the open flame sensor 117 is electrically connected to the control unit 111 for detecting at the open flame sensor 117.
- an alarm signal can be sent to the control unit 111, thereby enabling the control unit 111 to send a notification signal to the server 12 over the network (e.g., via the wireless transmission unit 115).
- the system will perform a notification at this time, which is self-evident; as described above, since the monitoring device 11 of the present invention can also be widely installed It is located in equipment such as street lamps and is not a part of the community fire prevention or notification mechanism. In this way, the system can be used not only for the prediction, notification and recording of general traffic events, but also to provide further functions such as fire alarms, which greatly enhances its added value.
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Abstract
一种交通影音接收与分析***,该交通影音接收与分析***由多个监控设备组成,各该监控设备分别包括一控制单元、一摄像单元、一储存单元及一分析单元,其中该摄像单元,与该控制单元电气连接,以被该控制单元控制执行摄像功能;该储存单元与该控制单元及该摄像单元电气连接,以接收并储存该摄像单元通过摄像功能所记录下的一影像画面;该分析单元与该控制单元及该储存单元电气连接,以读取储存于该储存单元的该影像画面,且能根据预先设定的至少一分析条件,对该影像画面进行分析。如此,便能够通过该分析单元对该影像画面进行分析,事前预测、事中判断或事后记录交通事件的发生状况。
Description
本发明关于一种交通影音接收与分析***,尤指一种经由距离识别检测器(例如红外、声纳、雷射雷达、磁场、电磁干扰场检测器)及撷取光场数据的摄像器,以执行摄像、影像(video)、深度数据(depth data)、音场(sound field)、磁场(magnetic field)、电磁干扰场(EMI field)及光场(light field)的功能的***。
随着近代工商社会逐渐发展,人们对交通运输上的需求与依赖亦日渐攀升。在此等高度依赖交通运输的现代社会中,交通安全已然是人们生活中不可忽视的重要环节之一。常见的危险驾驶包含如下所述的多种驾车行为,例如:未于速限内行驶车辆(包含超速及低速)、任意变换车道、跨越双白线、未与前车保持安全距离等等。此些驾车行为不仅会危及自己与他人的安全,还可能肇生死伤惨重的车祸。因此,为了避免交通意外的发生,除了每位驾驶人需要遵守交通法规之外,还要随时注意道路的状况。
为能有效地掌握交通状况,且于事故发生后能够充分了解事件成因与厘清责任归属,交通状况分析与通报***多通过摄像设备获取交通现场的一影像画面,并对该影像画面进行分析,以还原现场状况,了解事故成因。
影像辨识技术已广泛地被应用在此等交通状况分析与通报***中,目前多数应用是对单一摄像设备影像数据进行影像辨识(诸如车牌辨识、车流检测、人脸检测/辨识、位移检测、人员追踪、方向性移动检测、电子围篱、物件遗留、摄像设备遮盖、人脸检测等),待辨识完成后,将影像特征(诸如车牌号码、车辆颜色、车辆种类、车辆厂牌型号、大/小/机车数量、物***置、物体大小、方向性等)信息作储存及显示。而没有对不同特性的辨识结果作更综合性的分析利用,无异浪费大量的运算资源。
此外,已知交通状况分析与通报***,仅在道路现场设有基本的摄像设备,并使该多个摄像设备通过网络与远端的一服务器连线,当已知交通状况分析与通报***欲执行前述的影像辨识等运算时,所有分析运算功能均必须发送至远端服务器进行,信息往返费时、缓不济急,无法对现场状况做出即时反应,非常不理想。
由以上说明可知,已知交通状况分析与通报***,并没有对不同特性的辨识结果作更综合性的分析利用,且所有分析运算均必须发送至远端服务器进行,信息往返费时、
缓不济急,因此,如何设计出一种交通影音接收与分析***,以提供最即时、第一手的信息,并兼顾详细、精密的分析工作与设置的总体成本,即成为发明人在此亟欲解决的一重要课题。
发明内容
有鉴于已知交通状况分析与通报***的诸多缺点,发明人乃依其长年服务于相关产业的经验,经过多次研究与调整,终于开发设计出本发明的一种交通影音接收与分析***,期能通过本发明一举改善已知交通状况分析与通报***的诸多缺陷。
本发明的主要目的在于提供一种交通影音接收与分析***,该交通影音接收与分析***由多个监控设备组成,各该监控设备分别包括一控制单元、一摄像单元、一储存单元及一分析单元,其中该摄像单元与该控制单元电气连接,以被该控制单元控制执行摄像功能;该储存单元与该控制单元及该摄像单元电气连接,以接收并储存该摄像单元通过摄像功能所记录下的一影像画面;该分析单元与该控制单元及该储存单元电气连接,以读取储存于该储存单元的该影像画面,且能根据预先设定的至少一分析条件,对该影像画面进行分析。如此,各该监控设备便能够通过该分析单元对该影像画面进行的分析,事前预测、事中判断或事后记录交通事件的发生状况。
本发明的再一目的,该多个分析条件中至少一分析条件是一移动物件辨识条件,当该分析单元根据该移动物件辨识条件识别出一移动物件时,该分析单元会执行一模拟运算,以获取对应于该移动物件的一模拟移动路径。如此,通过该分析单元所执行的该模拟运算,便能够在各种交通工具甚至行人移动的过程中,预先计算出其可能的移动轨迹,且更能够进一步作为事前预测交通状况的评估基础。
本发明的又一目的,各该监控设备还包括一无线传输单元,该无线传输单元与该控制单元电气连接,该***的任一监控设备能通过该无线传输单元与该***的另一监控设备传输信息。如此,各该监控设备能通过彼此共享信息的方式,取得不同角度下获取的影像画面,并进行综合分析,以提高各种分析的精确度与可信性。
本发明的又一目的,各该监控设备的该分析单元,能接收另一监控设备的另一影像画面,并根据该监控设备的该影像画面,及该另一监控设备的该另一影像画面,执行一模拟运算,以获取对应于该移动物件的该模拟移动路径。如此,通过综合分析不同角度下获取的影像画面,能使该模拟移动路径的预测结果更为精准。
本发明的又一目的,该***还包括一收音单元,该收音单元与该控制单元及该储存单元电气连接,以被该控制单元控制执行录音功能,并将录制的一声音信号储存于该储存单元。如此,便能在影像之外,增加与该声音信号有关的分析条件,进一步提升事件发生当下分析判断的正确性。
本发明的又一目的,该多个分析条件中至少一分析条件是一事故特征辨识条件,当该分析单元在根据该事故特征辨识条件判断出发生一事故时,会向该控制单元发送一事件记录信号,以令该控制单元能根据该事件记录信号,将一预定时间范围内的该多个影像画面储存为一事件记录画面,并将该预定时间范围内的该多个声音信号储存为一事件记录音频。如此,即可将事发前后的声音及影像储存为该事件记录音频及该事件记录画面,以利事后进行肇事责任的厘清。
本发明的又一目的,该***还包括一服务器,该服务器通过网络与该多个监控设备相连接,而能接收该多个监控设备所发出的信息。如此,不仅能将该事件记录音频及该事件记录画面,发送至该服务器,以藉该服务器长期保存该事件记录音频及该事件记录画面,更进一步,亦可通过建置于该服务器的硬件资源,进行复杂度更高、各该监控设备本身无法执行的分析运算。
本发明的又一目的,该***还包括一明火感应器,该明火感应器与该控制单元电气连接,以在该明火感应器检测到火灾发生时,能向该控制单元发送一警报信号,进而使该控制单元能通过网络向该服务器发出通报信号。如此,该***不仅能用于一般交通事件的预测、通报及记录之用,尚能够进一步提供火灾警报等功能,大大提升其附加价值。
兹有附言者,为便于更全面性、普遍性地建置本发明的交通影音接收与分析***,以形成更完整的交通安全网络,本发明的又再一目的,将该交通影音接收与分析***设置于一路灯设备及路灯杆上,如此,由于路灯设备的普及性,将毋庸耗费额外的费用、或占用额外的空间,即可迅速地建置本发明的交通影音接收与分析***,有效解决现代化建设在推广时所面临的经费与空间利用问题。
为了便于对本发明目的、技术特征及其功效做更进一步的认识与了解,兹举实施例配合图式,详细说明如下。
图1为本发明较佳实施例的***架构图;及
图2为将本发明的监控设备应用于路***通号志的示意图。
附图标号:
*** 1
监控设备 11
控制单元 111
摄像单元 112
储存单元 113
分析单元 114
无线传输单元 115
收音单元 116
明火感应器 117
服务器 12
号志灯 2
移动物件 3
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
本发明的一种交通影音接收与分析***,请参阅图1及图2所示,本发明的交通影音接收与分析***1由多个监控设备11组成,各该监控设备11分别包括一控制单元111(如中央处理器,Central Processing Unit,简称CPU)、一摄像单元112、一储存单元113(如存储体或硬盘)、一分析单元114及一收音单元116。在本发明的一实施例中,各该监控设备11可被分别设置于一号志灯2上,本发明并不以此为限,在本发明的其他较佳实施例中,为便于更全面性、普遍性地建置本发明的交通影音接收与分析***,以形成更完整的交通安全网络,亦可将各该监控设备11设置于一路灯设备上,如此,由于路灯设备的普及性,将毋庸耗费额外的费用、或占用额外的空间,即可迅速地建置本发明的交通影音接收与分析***1,有效解决现代化建设在推广时所面临的经费与空间利用问题。
承前所述,在本发明的较佳实施例中,该摄像单元112及该收音单元116皆与该控制单元111电气连接,以被该控制单元111控制执行摄像功能或录音功能。该储存单元113与该控制单元111、该摄像单元112及该收音单元116电气连接,以接收并储存该摄像单元112通过摄像功能所记录下的一影像画面,及/或接收并储存该收音单元116录制的一声音信号。该分析单元114与该控制单元111及该储存单元113电气连接,以读取储存于该储存单元113的该影像画面,及/或读取储存于该储存单元113的该声音信号。
复请参阅图1及图2所示,该分析单元114能根据预先设定的至少一分析条件,对该影像画面进行分析。举例言,在本发明的较佳实施例中,该多个分析条件中至少一分析条件是一移动物件辨识条件,当该分析单元114根据该移动物件辨识条件识别出一移动物件3(例如行人、车辆甚至无人飞行载具等)时,该分析单元114会执行一模拟运算,以获取对应于该移动物件3的一模拟移动路径。如此,通过该分析单元114所执行的该模拟运算,便能够在各种交通工具甚至行人移动的过程中,预先计算出其可能的移动轨迹,且更能够进一步作为事前预测交通状况的评估基础。举例来说,倘特定车辆以不正常速度行进,且预测的模拟路径上有其他物体存在,则可能被判断为有潜在危险;又或者,倘所识别的该移动物件3为一无人飞行载具(Drone,或称Unmanned Aerial Vehicle,简称UAV)时,当判断出其所前进的方向,逐渐接近航空管制区(例如机场周边或重要政府机关所在地等),则可预先发出警告信息,通知该无人飞行载具的操作者,令其改变该无人飞行载具的航行路线。本发明的实际施作时并不以上列例示的应用方式为限,凡所属技术领域的人士所能轻易思及的变化,均应属不脱本发明所欲保护的范畴,合先叙明。
交通事故的主要特征,包含收音的音量突然变大、收录到可明显辨识的碰撞声、车流速度瞬间变慢或降至零、两个以上的移动物件3重迭事件、非塞车时间或非停等红绿灯时道路上发现遗留物(车辆碰撞后停留在道路上)、事故发生后塞车、事故发生后车流改变车道、物体的加速度突然增加(车辆或人被撞飞)等特征。复请参阅图1及图2所示,以上特征可以由该摄像单元112及该收音单元116取得,并由该分析单元114进行分析,易言之,本发明除可被应用于移动路径模拟运算,亦可被用于事故分析。更具体地说,在本发明的其他应用例中,该多个分析条件中至少一分析条件是一事故特征辨识条件(如前述的碰撞声、重迭事件或遗留物等特征,当所辨识到的特征越多,则判定为发生交通事故的正确率越高)。当该分析单元114在根据该事故特征辨识条件判断出发生一事故时,会向该控制单元111发送一事件记录信号,以令该控制单元111能根据
该事件记录信号,将一预定时间范围内的该多个影像画面储存为一事件记录画面,并将该预定时间范围内的该多个声音信号储存为一事件记录音频。
承上,一般言,此等持续记录的监控***,并不会将所有获取到的影像画面及/或声音信号均长期储存下来,而是不断以后续获取的影像画面及/或声音信号覆盖、取代原先储存内容。本发明通过前述的该事件记录信号,在疑似发生事故的当下,将一预定时间范围内(例如,自判断事故发生的时间点起,向前计算3分钟、向后计算7分钟等,不以此为限)的该多个影像画面、声音信号分别储存为一事件记录画面、事件记录音频,并另外储存,使之不会被常态性、持续性获取的后续信息覆盖、取代,如此,即可将事发前后的声音及影像储存为该事件记录音频及该事件记录画面,以利事后进行肇事责任的厘清。
复请参阅图1所示,在本发明的较佳实施例中,各该监控设备11还包括一无线传输单元115。该无线传输单元115与该控制单元111电气连接,该***的任一监控设备11,能在该控制单元111的控制之下,通过该无线传输单元115将信息发送予该***1的另一监控设备11。详言之,各该监控设备11的各该该分析单元114,不仅能读取储存于各自储存单元113的影像画面及声音信号,更能通过彼此共享信息的方式,取得不同角度、距离下获取的影像画面及声音信号,并进行综合分析,以提高各种分析的精确度与可信性。特此一提者,前述的综合分析可通过实时视频拼接(Real time video stitching)等技术达成,实时视频拼接需使用3D深度数据、3D影像、2D影像、雷达及其它感测器。具体言之,在本发明的较佳实施例中,各该监控设备11通过各该无线传输单元115共享所获取的影像画面,并通过实时视频拼接技术,将各摄像单元112所获取不同角度、位置的影像画面,即时地拼接、建构成一个全幅(例如涵盖180度的视角)的影像画面或特定角度的影像画面。实际应用上,通过此等技术可达成诸多优点。举例言,由于部分城市对于无人飞行载具设定有较严格的管制规范,其规范内容可能要求无人飞行载具的操作者在操作无人飞行载具时,必须保持该无人飞行载具在其视线范围内。当本发明的技术被应用于此等地区时,无人飞行载具的操作者便得以通过各该无线传输单元115,获取经运算处理后的影像画面,进而能随时以视觉确认该无人飞行载具的飞行状况。
续上,如同前述,本发明的该分析单元114能通过执行模拟运算获取对应于移动物件3的模拟移动路径。在本发明的较佳实施例中,由于各该监控设备11能通过各该无线传输单元115彼此共享信息,故,该分析单元114在执行该模拟运算时,便能够接收另
一监控设备11的另一影像画面,并根据该监控设备11的该影像画面,及该另一监控设备11的该另一影像画面,执行一模拟运算,以获取对应于该移动物件3的该模拟移动路径。如此,通过综合分析(例如前述的实时视频拼接)不同角度下获取的影像画面,能使该模拟移动路径的预测结果更为精准。
复请参阅图1所示,在本发明的较佳实施例中,该***还包括一服务器12,该服务器12通过网络与该多个监控设备11相连接,而能接收该多个监控设备11所发出的信息。如此,不仅能将该事件记录音频及该事件记录画面,发送至该服务器12,以藉该服务器12长期保存该事件记录音频及该事件记录画面,且能在将该事件记录音频及该事件记录画面储存至该服务器12后,释出该储存单元113内的储存空间,以利后续应用。更进一步言,虽然本发明的各该监控设备11本身能执行基本的分析运算,但基于成本考虑,难以期待在各该监控设备11均配置有足以处理复杂运算的配备,故,本发明通过将该事件记录音频及该事件记录画面传送至该服务器12,亦可通过统一建置于该服务器12的高端软、硬件资源,进行复杂度更高、各该监控设备11本身无法执行的分析运算。据此,便能达到良好的分工效果,意即,各该监控设备11间利用各该无线传输单元115彼此共享信息,并进行基本运算,提供最即时、第一手的信息;另,如欲进行较详细、精密的分析,以及数据的长期保存,则将相关信息传送至该服务器12执行之。此一作法,有效避免了传统作法中,所有分析均必须发送至远端进行分析,信息往返费时,缓不济急的缺点,此外亦保有执行精密运算的可能性,更同时又兼顾了设置的总体成本。
兹有附言者,复请参阅图1所示,为能更进一步完善该***1的安全通报内容,在本发明的较佳实施例中,该***1还包括一明火感应器117(Flame detector)。一般言,根据燃烧材质的不同,以及温度环境等条件,火焰可能放出不同波长的光谱,因此明火感应器117亦会相应地被设计成各种类型,诸如检测近红外光的检测器(nfra-red(IR)based flame detectors)、检测紫外光的检测器(ultra-violet(UV)based flame detectors)或二者的混合运用,甚至双波段红外火焰探测器(dual band infrared flame detector)或三波段红外火焰探测器(tri-band infrared flame detector)等各种类型。以上所列,仅表示该多个各种类型的检测器,皆可被应用作为本发明的明火感应器117,但非指本发明的明火感应器117只以以上所列为限,按凡熟悉该项技艺的人士,依据本发明所揭露的技术内容,采用其他类型的检测器以达到等效变化,均应属不脱离本发明所称“明火感应器117”的保护范畴,合先叙明。
承上,该明火感应器117与该控制单元111电气连接,以在该明火感应器117检测
到火灾发生时,能向该控制单元111发送一警报信号,进而使该控制单元111能通过网络(例如:通过无线传输单元115)向该服务器12发出通报信号。详言之,倘因交通事故酿成火灾意外(例如车辆起火燃烧),此时该***会执行通报,此自不待言;如同前述,由于本发明的各该监控设备11亦可被广泛地装设于路灯等设备上,在装设普及化的地区,亦未尝不可作为社区火警预防或通报机制的一环。如此,该***不仅能用于一般交通事件的预测、通报及记录之用,尚能够进一步提供火灾警报等功能,大大提升其附加价值。
以上所述,仅是本发明的若干较佳实施例,本发明所主张的权利范围,并不局限于此,本领域技术人员依据本发明所揭露的技术内容,可轻易思及的等效变化,均应属不脱离本发明的保护范畴。
Claims (20)
- 一种交通影音接收与分析***,其特征在于,该***由多个监控设备组成,各该监控设备分别包括:一控制单元;一摄像单元,与该控制单元电气连接,以被该控制单元控制执行摄像功能;一储存单元,与该控制单元及该摄像单元电气连接,以接收并储存该摄像单元通过摄像功能所记录下的一影像画面;及一分析单元,与该控制单元及该储存单元电气连接,以读取储存于该储存单元的该影像画面,且能根据预先设定的至少一分析条件,对该影像画面进行分析。
- 如权利要求1所述的***,其特征在于,该多个分析条件中至少一分析条件是一移动物件辨识条件。
- 如权利要求2所述的***,其特征在于,该分析单元根据该移动物件辨识条件识别出一移动物件时,该分析单元会执行一模拟运算,以获取对应于该移动物件的一模拟移动路径。
- 如权利要求2所述的***,其特征在于,各该监控设备还包括:一无线传输单元,与该控制单元电气连接,该***的任一监控设备能通过该无线传输单元与该***的另一监控设备传输信息。
- 如权利要求3所述的***,其特征在于,各该监控设备还包括:一无线传输单元,与该控制单元电气连接,该***的任一监控设备能通过该无线传输单元与该***的另一监控设备传输信息。
- 如权利要求5所述的***,其特征在于,各该监控设备的该分析单元,能接收另一监控设备的另一影像画面,并根据该监控设备的该影像画面,及该另一监控设备的该另一影像画面,执行一模拟运算,以获取对应于该移动物件的该模拟移动路径。
- 如权利要求1所述的***,其特征在于,还包括:一收音单元,与该控制单元及该储存单元电气连接,以被该控制单元控制执行录音功能,并将录制的一声音信号储存于该储存单元。
- 如权利要求4所述的***,其特征在于,还包括:一收音单元,与该控制单元及该储存单元电气连接,以被该控制单元控制执行录音功能,并将录制的一声音信号储存于该储存单元。
- 如权利要求2所述的***,其特征在于,该多个分析条件中至少一分析条件是一事故特征辨识条件。
- 如权利要求7所述的***,其特征在于,该多个分析条件中至少一分析条件是一事故特征辨识条件。
- 如权利要求8所述的***,其特征在于,该多个分析条件中至少一分析条件是一事故特征辨识条件。
- 如权利要求9所述的***,其特征在于,该分析单元在根据该事故特征辨识条件判断出发生一事故时,会向该控制单元发送一事件记录信号,以令该控制单元能根据该事件记录信号,将一预定时间范围内的该多个影像画面储存为一事件记录画面。
- 如权利要求10所述的***,其特征在于,该分析单元在根据该事故特征辨识条件判断出发生一事故时,会向该控制单元发送一事件记录信号,以令该控制单元能根据该事件记录信号,将一预定时间范围内的该多个影像画面储存为一事件记录画面,并将该预定时间范围内的该多个声音信号储存为一事件记录音频。
- 如权利要求11所述的***,其特征在于,该分析单元在根据该事故特征辨识条件判断出发生一事故时,会向该控制单元发送一事件记录信号,以令该控制单元能根据该事件记录信号,将一预定时间范围内的该多个影像画面储存为一事件记录画面,并将该预定时间范围内的该多个声音信号储存为一事件记录音频。
- 如权利要求12所述的***,其特征在于,还包括:一服务器,通过网络与该多个监控设备相连接,而能接收该多个监控设备所发出的信息。
- 如权利要求13所述的***,其特征在于,还包括:一服务器,通过网络与该多个监控设备相连接,而能接收该多个监控设备所发出的信息。
- 如权利要求14所述的***,其特征在于,还包括:一服务器,通过网络与该多个监控设备相连接,而能接收该多个监控设备所发出的信息。
- 如权利要求15所述的***,其特征在于,还包括:一明火感应器,与该控制单元电气连接,以在该明火感应器检测到火灾发生时,能向该控制单元发送一警报信号,进而使该控制单元能通过网络向该服务器发出通报信号。
- 如权利要求16所述的***,其特征在于,还包括:一明火感应器,与该控制单元电气连接,以在该明火感应器检测到火灾发生时,能向该控制单元发送一警报信号,进而使该控制单元能通过网络向该服务器发出通报信号。
- 如权利要求17所述的***,其特征在于,还包括:一明火感应器,与该控制单元电气连接,以在该明火感应器检测到火灾发生时,能向该控制单元发送一警报信号,进而使该控制单元能通过网络向该服务器发出通报信号。
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US15/561,074 US20180253607A1 (en) | 2016-10-12 | 2017-08-16 | System for receiving and analyzing traffic video |
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CN112614443A (zh) * | 2020-12-24 | 2021-04-06 | 玺美车众数字传媒科技(上海)有限公司 | 可进行车流统计与车主人群画像抓取并分析的智能灯箱 |
CN113034900A (zh) * | 2021-03-04 | 2021-06-25 | 浙江绿农生态环境有限公司 | 建筑渣土转运流程监控*** |
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JP2017138694A (ja) * | 2016-02-02 | 2017-08-10 | ソニー株式会社 | 映像処理装置及び映像処理方法 |
JP7247592B2 (ja) * | 2019-01-16 | 2023-03-29 | 株式会社デンソー | 異常検出装置、異常検出プログラム、異常検出方法及び異常検出システム |
JP7368092B2 (ja) * | 2019-03-19 | 2023-10-24 | パナソニックホールディングス株式会社 | 事故検出装置、及び、事故検出方法 |
JP7407056B2 (ja) | 2020-04-13 | 2023-12-28 | 株式会社小糸製作所 | インフラシステム |
CN111932889B (zh) * | 2020-08-18 | 2022-04-08 | 湖南汽车工程职业学院 | 一种基于车路协同的交通疏导*** |
CN112133104B (zh) * | 2020-08-21 | 2022-11-01 | 浙江大华技术股份有限公司 | 一种车辆信息检测方法、装置、***及存储介质 |
CN114067584A (zh) * | 2021-11-15 | 2022-02-18 | 浙江交通职业技术学院 | 一种高速公路交通异常事件智能监测预警机器设备 |
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JP2019507394A (ja) | 2019-03-14 |
EP3528227A1 (en) | 2019-08-21 |
JP6609820B2 (ja) | 2019-11-27 |
CN107945506A (zh) | 2018-04-20 |
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