Information acquisition method and system

Abstract

The invention is suitable for the field of information acquisition, and provides an information acquisition method and system, and the method comprises the steps: collecting and uploading a target position real-time image and target electronic tag information at regular time; identifying a target spot position real-time image, and generating carrier distribution information; obtaining carrier distribution information, and generating wrong occupation identification information; target driver information in the target spot position real-time image is extracted based on the wrong occupancy identification information; on the basis of targeted electronic tag information and targeted driver information, illegal fee deduction information is generated and sent, the method and the system adopt a high-definition camera to be matched with an RFID technology, effective classification and identification of non-motor vehicles or motor vehicles can be realized, a security fund system is set, carriers which do not run on corresponding lanes are effectively punished, and the driving safety of the vehicles is improved. The driving safety of the non-motor vehicle or the motor vehicle is further improved, and meanwhile, the conversion effectiveness of information acquisition is improved.

Description

Technical Field

[0001] The present invention belongs to the field of information collection, and in particular relates to an information collection method and system. Background Art

[0002] Information collection refers to the collection and processing of information, and is the preparatory work in terms of information resources. It is a broad and important field that covers a variety of methods and tools aimed at effectively collecting and processing information and providing strong support for various decision-making.

[0003] Information collection is applied in many fields. In the field of municipal transportation, in order to maintain a good city appearance, it is necessary to effectively separate motor vehicles and non-motor vehicles on the road, further maintain the cleanliness of municipal traffic, and reduce the probability of traffic accidents. However, when managing motor vehicles and non-motor vehicles, the conversion effectiveness of information collection is limited, resulting in poor management of motor vehicles and non-motor vehicles. In response to the above problems, it is urgent to develop a more mature information collection method and system. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide an information collection method and system, aiming to solve the problems raised in the above background technology.

[0005] The embodiment of the present invention is implemented as follows: on the one hand, an information collection method, the method comprising:

[0006] Regularly collect and upload real-time images of target locations and targeted electronic tag information;

[0007] Identify real-time images of target locations and generate vehicle distribution information;

[0008] Obtain vehicle distribution information and generate error occupancy identification information;

[0009] Based on the false occupancy identification information, the target driver information in the real-time image of the target position is extracted;

[0010] Based on the targeted electronic tag information and targeted driver information, violation deduction information is generated and sent.

[0011] As a further solution of the present invention, the identifying the real-time image of the target position and generating the vehicle distribution information specifically includes:

[0012] Import real-time images of target locations;

[0013] Extracting motor vehicle features and non-motor vehicle features in the real-time image of the target location;

[0014] Label the first type of vehicle and the second type of vehicle;

[0015] Extract the features of motor vehicle lanes and non-motor vehicle lanes in the real-time image of the target location;

[0016] Mark the location information of non-motorized vehicle lanes and motor vehicle lanes.

[0017] As a further solution of the present invention, the obtaining of vehicle distribution information and generating error occupancy identification information specifically includes:

[0018] Determining whether there is a first type of vehicle in the motor vehicle lane;

[0019] If there is a first type of vehicle in the motor vehicle lane, generating first sub-error occupancy identification information;

[0020] Determining whether there is a second type of vehicle in the non-motorized vehicle lane;

[0021] If there is a second type of vehicle in the non-motorized vehicle lane, second sub-error occupancy identification information is generated.

[0022] As a further solution of the present invention, the extracting the target driver information in the real-time image of the target position based on the false occupancy identification information specifically includes:

[0023] Retrieve whether the first sub-error occupancy identification information or the second sub-error occupancy identification information exists;

[0024] if at least one of the first sub-error occupation identification information or the second sub-error occupation identification information exists;

[0025] Identify the facial information in the real-time image of the target location and generate the targeted driver information;

[0026] Link traffic account information to obtain targeted driver information.

[0027] As a further solution of the present invention, the generating and sending of violation fee deduction information based on the targeted electronic tag information and the targeted driver information specifically includes:

[0028] Import targeted electronic tag information and mark targeted illegal vehicles;

[0029] Obtain targeted driver information and targeted illegal vehicles;

[0030] Match the illegal deduction rules;

[0031] Generate and send illegal deduction information.

[0032] As a further solution of the present invention, on the other hand, an information collection system comprises:

[0033] The first timing acquisition module is used to regularly acquire real-time images of target positions;

[0034] The second timing collection module is used to regularly collect the targeted electronic tag information;

[0035] Upload module, used to upload real-time images of target locations and targeted electronic tag information;

[0036] An identification module, used to identify vehicle distribution information;

[0037] A first generating module, used to generate vehicle distribution information;

[0038] An acquisition module, used to obtain vehicle distribution information;

[0039] A second generating module, used for generating error occupancy identification information;

[0040] An extraction module, used for extracting the target driver information in the real-time image of the target position based on the false occupancy identification information;

[0041] A third generation module is used to generate violation fee deduction information based on the targeted electronic tag information and the targeted driver information;

[0042] The sending module is used to send illegal deduction information.

[0043] As a further solution of the present invention, the identification module specifically includes:

[0044] An import unit, used to import real-time images of target positions;

[0045] A first extraction unit is used to extract motor vehicle features and non-motor vehicle features in the real-time image of the target position;

[0046] A first marking unit, used for marking a first type of carrier and a second type of carrier;

[0047] The second extraction unit is used for the features of the motor vehicle lane and the non-motor vehicle lane in the real-time image of the target position;

[0048] The second marking unit is used to mark the position information of the non-motor vehicle lane and the motor vehicle lane.

[0049] As a further solution of the present invention, the second generating module specifically includes:

[0050] A first determination unit, used to determine whether there is a first type of vehicle in the motor vehicle lane;

[0051] A first sub-generating unit, configured to generate first sub-error occupancy identification information if there is a first type of vehicle in the motor vehicle lane;

[0052] A second determination unit, used to determine whether there is a second type of vehicle in the non-motor vehicle lane;

[0053] The second sub-generating unit is used to generate second sub-error occupancy identification information if there is a second type of vehicle in the non-motor vehicle lane.

[0054] As a further solution of the present invention, the extraction module specifically includes:

[0055] A retrieval unit, used to retrieve whether the first sub-error occupancy identification information or the second sub-error occupancy identification information exists;

[0056] an identification unit, configured to identify face information in the real-time image of the target position if at least one of the first sub-error occupancy identification information or the second sub-error occupancy identification information exists,

[0057] A third generating unit, configured to generate targeted driver information;

[0058] The associated acquisition unit is used to associate and acquire the traffic account information of the targeted driver information.

[0059] An information collection method and system are provided in an embodiment of the present invention. The method and system use a high-definition camera in conjunction with RFID technology to achieve effective classification and identification of non-motor vehicles or motor vehicles, set up a deposit system, and effectively punish vehicles that do not travel in corresponding lanes, thereby further improving the driving safety of non-motor vehicles or motor vehicles and, at the same time, improving the conversion effectiveness of information collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a main flow chart of an information collection method.

[0061] Figure 2 The invention discloses a flow chart of identifying a target position in an information acquisition method, generating a real-time image of a vehicle distribution information.

[0062] Figure 3 The invention discloses a flow chart of obtaining vehicle distribution information and generating error occupancy identification information in an information collection method.

[0063] Figure 4 The invention discloses a flow chart of extracting targeted driver information in a real-time image of a target position based on error occupancy recognition information in an information collection method.

[0064] Figure 5 The invention discloses a flow chart of generating and sending violation deduction information based on targeted electronic tag information and targeted driver information in an information collection method.

[0065] Figure 6 It is the main structure diagram of an information collection system.

[0066] Figure 7 It is a structural block diagram of the identification module in an information acquisition system.

[0067] Figure 8 The invention is a structural block diagram of a second generation module in an information collection system.

[0068] Fig. 9 It is a structural block diagram of the extraction module in the information acquisition system. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0070] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0071] The present invention provides an information collection method and system, which solves the technical problems in the background technology.

[0072] like Figure 1 FIG. 1 is a main flow chart of an information collection method provided by an embodiment of the present invention, wherein the information collection method comprises:

[0073] Step S100: regularly collecting and uploading real-time images of target locations and targeted electronic tag information;

[0074] Step S200: Identify the real-time image of the target position and generate vehicle distribution information;

[0075] Step S300: Acquire vehicle distribution information and generate error occupancy identification information;

[0076] Step S400: extracting the target driver information in the real-time image of the target position based on the false occupation identification information;

[0077] Step S500: Generate and send violation fee information based on the targeted electronic tag information and the targeted driver information.

[0078] When this embodiment is applied, non-motor vehicles or motor vehicles are hung with vehicle license plates, and each vehicle license plate or multiple vehicle license plates are associated with a traffic account, and a certain deposit is stored in the traffic account, and the deposit can be used to deduct fees for subsequent vehicle violations, and when non-motor vehicles or motor vehicles undergo annual vehicle inspections, the traffic account associated with the vehicle must reach a preset amount. The traffic account can also be associated with a personal credit system to achieve deposit exemption. Several high-definition traffic monitoring cameras are preset at various locations on municipal roads. During the driving of non-motor vehicles or motor vehicles, several high-definition traffic monitoring cameras can perform timed recording of the driving non-motor vehicles or motor vehicles. The high-definition traffic cameras are used in conjunction with RFID technology. RFID technology is a contactless automatic identification technology that uses wireless radio frequency signals to perform contactless two-way data transmission between a reader and a radio frequency card to achieve the purpose of automatically identifying a target object. Each tag has a unique electronic code stored inside and is attached to the vehicle license plate. Electronic coding is targeted electronic tag information, which is used to identify the target object. By installing RFID tags on vehicles and setting RFID readers on high-definition cameras at target locations, vehicle information can be quickly read and recorded. First, the high-definition traffic monitoring camera at the target location will regularly collect and upload real-time images of the target location and targeted electronic tag information, and then identify the real-time image of the target location, identify the lane position and vehicle type, and then generate vehicle distribution information based on the lane position and vehicle type, and then obtain the vehicle distribution information to determine whether different types of vehicles are in the correct lane position. If the vehicle is not in the correct lane position, generate error occupancy identification information, extract the real-time image of the target location based on the error occupancy identification information, mark the target illegal vehicle in the real-time image of the target location, and then cooperate with RFID technology to identify the target illegal vehicle based on the collected targeted electronic tag information. After the identification is completed, generate and send violation deduction information, and then deduct the relevant fines from the traffic account of the driver of the illegal vehicle.

[0079] like Figure 2 As shown, as a preferred embodiment of the present invention, the identifying the real-time image of the target position and generating the vehicle distribution information specifically includes:

[0080] Step S101: importing a real-time image of the target position;

[0081] Step S102: extracting motor vehicle features and non-motor vehicle features in the real-time image of the target position;

[0082] Step S103: marking the first type of carrier and the second type of carrier;

[0083] Step S104: extracting features of the motor vehicle lane and the non-motor vehicle lane in the real-time image of the target position;

[0084] Step S105: marking the location information of the non-motorized vehicle lane and the motorized vehicle lane.

[0085] When this embodiment is applied, the real-time image of the target position is first imported, and the motor vehicle features and non-motor vehicle features in the real-time image of the target position are extracted. In combination with the features of the vehicle, such as size and shape, the motor vehicle and non-motor vehicle are further distinguished, and the first type of vehicle and the second type of vehicle are marked. The first type of vehicle is a non-motor vehicle, and the second type of vehicle is a motor vehicle. Then, the motor vehicle lane and non-motor vehicle lane features in the real-time image of the target position are extracted, and the lane type is determined according to the position and width of the lane line and possible auxiliary signs, such as road signs and arrows. The markings of the motor vehicle lane are usually thicker, darker in color, and wider in width; the markings of the non-motor vehicle lane may be thinner, lighter in color, and the lane width is relatively narrow, and the position information of the non-motor vehicle lane and the motor vehicle lane is marked.

[0086] like Figure 3 As shown, as a preferred embodiment of the present invention, the obtaining of vehicle distribution information and generating error occupancy identification information specifically includes:

[0087] Step S301: Determine whether there is a first type of vehicle in the motor vehicle lane;

[0088] Step S302: If there is a first type of vehicle in the motor vehicle lane, generate first sub-error occupancy identification information;

[0089] Step S303: Determine whether there is a second type of vehicle in the non-motorized vehicle lane;

[0090] Step S304: If there is a second type of vehicle in the non-motorized vehicle lane, generate second sub-error occupancy identification information.

[0091] When this embodiment is applied, it is first determined whether there is a first type of vehicle in the motor vehicle lane. If so, first sub-error occupancy identification information is generated, i.e., there is a non-motor vehicle in the motor vehicle lane. It is then determined whether there is a second type of vehicle in the non-motor vehicle lane. If so, second sub-error occupancy identification information is generated, i.e., there is a motor vehicle in the non-motor vehicle lane.

[0092] like Figure 4 As shown, as a preferred embodiment of the present invention, the extracting the target driver information in the real-time image of the target position based on the error occupancy identification information specifically includes:

[0093] Step S401: searching whether the first sub-error occupation identification information or the second sub-error occupation identification information exists;

[0094] Step S402: if at least one of the first sub-error occupation identification information and the second sub-error occupation identification information exists;

[0095] Step S403: identifying the face information in the real-time image of the target position and generating the target driver information;

[0096] Step S404: Associating and acquiring traffic account information of targeted driver information.

[0097] It should be understood that first, it is retrieved whether the first sub-erroneous occupancy identification information or the second sub-erroneous occupancy identification information exists. If at least one of the first sub-erroneous occupancy identification information or the second sub-erroneous occupancy identification information exists, it means that there is a behavior of the vehicle wrongly occupying the lane, and then the face information in the real-time image of the target position is identified to generate the targeted driver information. After the targeted driver information is generated, the traffic account information of the targeted driver information is associated and obtained.

[0098] like Figure 5 As shown, as a preferred embodiment of the present invention, the generating and sending of violation fee deduction information based on the targeted electronic tag information and the targeted driver information specifically includes:

[0099] Step S501: importing targeted electronic tag information and marking targeted illegal vehicles;

[0100] Step S502: Obtaining targeted driver information and targeted illegal vehicles;

[0101] Step S503: matching illegal deduction rules;

[0102] Step S504: Generate and send illegal deduction information.

[0103] When this embodiment is applied, corresponding rules for violation deductions are set. First, targeted electronic tag information is imported, targeted illegal vehicles are marked, targeted driver information and targeted illegal vehicles are obtained, and then the violation deduction rules are matched to generate violation deduction information, and finally the violation deduction information is sent to the targeted driver.

[0104] like Figure 6 As shown, as another preferred embodiment of the present invention, on the other hand, an information collection system comprises:

[0105] The first timing acquisition module 100 is used to regularly acquire a real-time image of the target position;

[0106] The second timing collection module 200 is used to regularly collect the targeted electronic tag information;

[0107] An uploading module 300 is used to upload a real-time image of the target location and targeted electronic tag information;

[0108] An identification module 400, used to identify vehicle distribution information;

[0109] A first generating module 500, used to generate vehicle distribution information;

[0110] An acquisition module 600 is used to acquire vehicle distribution information;

[0111] The second generating module 700 is used to generate error occupancy identification information;

[0112] An extraction module 800 is used to extract the target driver information in the real-time image of the target position based on the false occupation identification information;

[0113] The third generating module 900 is used to generate violation fee deduction information based on the targeted electronic tag information and the targeted driver information;

[0114] The sending module 1000 is used to send information on illegal deductions.

[0115] When this embodiment is applied, the first timed acquisition module 100 is used to timedly acquire real-time images of target positions, the second timed acquisition module 200 is used to timedly acquire targeted electronic tag information, the upload module 300 is used to upload real-time images of target positions and targeted electronic tag information, the identification module 400 is used to identify vehicle distribution information, the first generation module 500 is used to generate vehicle distribution information, the acquisition module 600 is used to acquire vehicle distribution information, the second generation module 700 is used to generate erroneous occupancy identification information, the extraction module 800 is used to extract targeted driver information in the real-time image of the target position based on the erroneous occupancy identification information, the third generation module 900 is used to generate violation deduction information based on the targeted electronic tag information and the targeted driver information, and the sending module 1000 is used to send the violation deduction information.

[0116] like Figure 7 As shown, as another preferred embodiment of the present invention, the identification module 400 specifically includes:

[0117] An import unit 401 is used to import a real-time image of a target position;

[0118] The first extraction unit 402 is used to extract motor vehicle features and non-motor vehicle features in the real-time image of the target position;

[0119] A first marking unit 403, used to mark the first type of carrier and the second type of carrier;

[0120] The second extraction unit 404 is used for the features of the motor vehicle lane and the non-motor vehicle lane in the real-time image of the target position;

[0121] The second marking unit 405 is used to mark the position information of the non-motor vehicle lane and the motor vehicle lane.

[0122] When this embodiment is applied, the import unit 401 imports a real-time image of the target position, the first extraction unit 402 is used to extract motor vehicle features and non-motor vehicle features in the real-time image of the target position, the first labeling unit 403 is used to label the first type of vehicle and the second type of vehicle, the second extraction unit 404 is used for the motor vehicle lane and non-motor vehicle lane features in the real-time image of the target position, and the second labeling unit 405 is used to label the non-motor vehicle lane and motor vehicle lane position information.

[0123] like Figure 8 As shown, as another preferred embodiment of the present invention, the second generating module 700 specifically includes:

[0124] The first determination unit 701 is used to determine whether there is a first type of vehicle in the motor vehicle lane;

[0125] A first sub-generating unit 702 is used to generate first sub-error occupancy identification information if there is a first type of vehicle in the motor vehicle lane;

[0126] The second judging unit 703 is used to judge whether there is a second type of vehicle in the non-motor vehicle lane;

[0127] The second sub-generating unit 704 is configured to generate second sub-error occupancy identification information if there is a second type of vehicle in the non-motor vehicle lane.

[0128] When this embodiment is applied, the first judgment unit 701 is used to judge whether there is a first type of vehicle in the motor vehicle lane, the first sub-generation unit 702 is used to generate first sub-error occupancy identification information if there is a first type of vehicle in the motor vehicle lane, the second judgment unit 703 is used to judge whether there is a second type of vehicle in the non-motor vehicle lane, and the second sub-generation unit 704 is used to generate second sub-error occupancy identification information if there is a second type of vehicle in the non-motor vehicle lane.

[0129] like Fig. 9 As shown, as another preferred embodiment of the present invention, the extraction module 800 specifically includes:

[0130] A retrieval unit 801 is used to retrieve whether the first sub-error occupancy identification information or the second sub-error occupancy identification information exists;

[0131] The identification unit 802 is configured to identify the face information in the real-time image of the target position if at least one of the first sub-error occupation identification information and the second sub-error occupation identification information exists,

[0132] The third generating unit 803 is used to generate targeted driver information;

[0133] The associated acquisition unit 804 is used to associate and acquire the traffic account information with the targeted driver information.

[0134] When this embodiment is applied, the retrieval unit 801 is used to retrieve whether the first sub-error occupancy identification information or the second sub-error occupancy identification information exists, the identification unit 802 is used to identify the face information in the real-time image of the target position if at least one of the first sub-error occupancy identification information or the second sub-error occupancy identification information exists, the third generation unit 803 is used to generate targeted driver information, and the associated acquisition unit 804 is used to associate and acquire traffic account information of the targeted driver information.

[0135] In the above embodiment of the present invention, a method for collecting information is provided, and an information collection system is provided. Non-motor vehicles or motor vehicles are hung with vehicle license plates, and each vehicle license plate or multiple vehicle license plates are associated with a traffic account. A certain deposit is stored in the traffic account, and the deposit can be used for subsequent deductions of vehicle violations. When non-motor vehicles or motor vehicles undergo annual vehicle inspections, the traffic account associated with the vehicle must reach a preset amount. The traffic account can also be associated with a personal credit system to achieve deposit exemption. Several high-definition traffic monitoring cameras are preset at various locations on municipal roads. During the driving of non-motor vehicles or motor vehicles, several high-definition traffic monitoring cameras can perform timed video recording of the driving non-motor vehicles or motor vehicles. The high-definition traffic cameras are used in conjunction with RFID technology. RFID technology is a contactless automatic identification technology that uses wireless radio frequency signals to perform contactless two-way data transmission between a reader and a radio frequency card to achieve the purpose of automatically identifying a target object. Each tag has a unique electronic code stored inside and is attached to the vehicle license plate. The electronic code is the targeted electronic tag information, which is used to identify the target object. By installing an RFID tag on the vehicle and at the target location An RFID reader is set on the high-definition camera to realize the rapid reading and recording of vehicle information. First, the high-definition traffic monitoring camera at the target location will regularly collect and upload the real-time image of the target location and the target electronic tag information, and then identify the real-time image of the target location, identify the lane position and vehicle type, and then generate vehicle distribution information based on the lane position and vehicle type, and then obtain the vehicle distribution information to determine whether different types of vehicles are in the correct lane position. If the vehicle is not in the correct lane position, generate error occupancy identification information, extract the real-time image of the target location based on the error occupancy identification information, and perform real-time occupancy detection on the target location. The target illegal vehicle in the image is marked, and then the target illegal vehicle is identified based on the collected targeted electronic tag information in conjunction with RFID technology. After the identification is completed, the violation deduction information is generated and sent, and the relevant fines are deducted from the traffic account of the driver of the illegal vehicle. The method and system use high-definition cameras in conjunction with RFID technology to achieve effective classification and identification of non-motor vehicles or motor vehicles, set up a deposit system, and effectively punish vehicles that do not travel in the corresponding lanes, further improving the driving safety of non-motor vehicles or motor vehicles, and at the same time, improving the conversion effectiveness of information collection.

[0136] In order to load the above-mentioned method and system and enable it to run smoothly, the system, in addition to the various modules mentioned above, may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0137] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various interfaces and lines are used to connect various parts.

[0138] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0139] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0140] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An information collection method, characterized in that: The method comprises: Regularly collect and upload real-time images of target locations and targeted electronic tag information; Identify real-time images of target locations and generate vehicle distribution information; Obtain vehicle distribution information and generate error occupancy identification information; Based on the false occupancy identification information, the target driver information in the real-time image of the target position is extracted; Based on the targeted electronic tag information and targeted driver information, violation deduction information is generated and sent.

2. The information collection method according to claim 1, characterized in that: The identifying of the real-time image of the target position and generating the vehicle distribution information specifically includes: Import real-time images of target locations; Extracting motor vehicle features and non-motor vehicle features in the real-time image of the target location; Label the first type of vehicle and the second type of vehicle; Extract the features of motor vehicle lanes and non-motor vehicle lanes in the real-time image of the target location; Mark the location information of non-motorized vehicle lanes and motor vehicle lanes.

3. The information collection method according to claim 1, characterized in that: The obtaining of vehicle distribution information and generating error occupancy identification information specifically includes: Determining whether there is a first type of vehicle in the motor vehicle lane; If there is a first type of vehicle in the motor vehicle lane, generating first sub-error occupancy identification information; Determining whether there is a second type of vehicle in the non-motorized vehicle lane; If there is a second type of vehicle in the non-motorized vehicle lane, second sub-error occupancy identification information is generated.

4. The information collection method according to claim 1, characterized in that: The extracting of the target driver information in the real-time image of the target position based on the false occupation identification information specifically includes: Retrieve whether the first sub-error occupancy identification information or the second sub-error occupancy identification information exists; if at least one of the first sub-error occupation identification information or the second sub-error occupation identification information exists; Identify the facial information in the real-time image of the target location and generate the targeted driver information; Link traffic account information to obtain targeted driver information.

5. The information collection method according to claim 1, characterized in that: The generating and sending of violation fee deduction information based on the targeted electronic tag information and the targeted driver information specifically includes: Import targeted electronic tag information and mark targeted illegal vehicles; Obtain targeted driver information and targeted illegal vehicles; Match the illegal deduction rules; Generate and send illegal deduction information.

6. An information collection system, characterized in that: The system comprises: The first timing acquisition module is used to regularly acquire real-time images of target positions; The second timing collection module is used to regularly collect the targeted electronic tag information; Upload module, used to upload real-time images of target locations and targeted electronic tag information; An identification module, used to identify vehicle distribution information; A first generating module, used to generate vehicle distribution information; An acquisition module, used to obtain vehicle distribution information; A second generating module, used for generating error occupancy identification information; An extraction module, used for extracting the target driver information in the real-time image of the target position based on the false occupancy identification information; A third generation module is used to generate violation fee deduction information based on the targeted electronic tag information and the targeted driver information; The sending module is used to send illegal deduction information.

7. The information collection system according to claim 6, characterized in that: The identification module specifically includes: An import unit, used to import real-time images of target positions; A first extraction unit is used to extract motor vehicle features and non-motor vehicle features in the real-time image of the target position; A first marking unit, used for marking a first type of carrier and a second type of carrier; The second extraction unit is used for the features of the motor vehicle lane and the non-motor vehicle lane in the real-time image of the target position; The second marking unit is used to mark the position information of the non-motor vehicle lane and the motor vehicle lane.

8. The information collection system according to claim 6, characterized in that: The second generation module specifically includes: A first determination unit, used to determine whether there is a first type of vehicle in the motor vehicle lane; A first sub-generating unit, configured to generate first sub-error occupancy identification information if there is a first type of vehicle in the motor vehicle lane; A second determination unit, used to determine whether there is a second type of vehicle in the non-motor vehicle lane; The second sub-generating unit is used to generate second sub-error occupancy identification information if there is a second type of vehicle in the non-motor vehicle lane.

9. The information collection system according to claim 6, characterized in that: The extraction module specifically includes: A retrieval unit, used to retrieve whether the first sub-error occupancy identification information or the second sub-error occupancy identification information exists; A recognition unit, configured to recognize face information in the real-time image of the target position if at least one of the first sub-error occupancy recognition information or the second sub-error occupancy recognition information exists; A third generating unit, configured to generate targeted driver information; The associated acquisition unit is used to associate and acquire the traffic account information of the targeted driver information.

Images