Intelligent bus system based on electronic paper

Abstract

The application discloses an intelligent public transport system based on electronic paper, which comprises a server cloud, a platform end and a bus end. The platform end comprises a first electronic paper module. The bus end comprises a second electronic paper module. The server cloud is configured to receive real-time data sent by each bus end and generate scheduling data of each bus end according to the real-time data. The platform end is configured to obtain the scheduling data of each bus end and display the scheduling data of each bus end through the first electronic paper module. The bus end is configured to obtain the real-time data and display recommended advertisements generated by the server cloud according to the real-time data through the second electronic paper module. The application can improve the convenience of the public transport system and the accuracy and visibility of advertisement delivery in the public transport system.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent transportation, and in particular to an intelligent public transport system based on electronic paper. BACKGROUND

[0002] With the development of the Internet of Things technology, users have increasingly high demands for the convenience and visibility of public transport systems, and the development of public transport systems has become an important part of improving the economic development and vitality of society. However, in order to maintain the stable operation of the public transport system, it is necessary to introduce a large amount of financial subsidies.

[0003] The main profit mode of the existing public transport system is advertising, but due to the form of advertising on the bus, which is usually an LED screen or a bus body covered with an advertising sticker, it has the disadvantage of not being eye-catching or the form of advertising being single. In addition, the existing public transport system often displays the next arrival station through broadcasting or display to complete the display of the public transport running information, and users can only estimate the time to arrive at the destination through their own terminal devices at the bus end, resulting in the shortcomings of the public transport system scheduling data being not accurate or not comprehensive, and thus the convenience is not high.

[0004] Therefore, how to improve the convenience of the public transport system while improving the accuracy and visibility of the advertising of the public transport system has become an urgent problem to be solved. SUMMARY

[0005] The present application provides an intelligent public transport system based on electronic paper to solve the technical problem of how to improve the convenience of the public transport system while improving the accuracy and visibility of the advertising of the public transport system.

[0006] In order to solve the above technical problem, the present application provides an intelligent public transport system based on electronic paper, characterized in that it comprises a server cloud, a platform end and a bus end; the platform end comprises a first electronic paper module; the bus end comprises a second electronic paper module;

[0007] The server cloud is configured to receive real-time data sent by each bus end and generate scheduling data of each bus end according to the real-time data; the real-time data comprises real-time surrounding images and real-time vehicle state information;

[0008] The platform end is configured to obtain the scheduling data of each bus end and display the scheduling data of each bus end through the first electronic paper module;

[0009] The bus end is configured to obtain the real-time data and display recommended advertisements generated by the server cloud according to the real-time data through the second electronic paper module.

[0010] Compared with the prior art, the above-mentioned embodiment has the following beneficial effects: by means of the real-time data of each bus end, the scheduling data of each bus end is obtained, so as to improve the accuracy of the detailed time of each bus to reach each station and the congestion of each road condition and other data, and further, the scheduling data is displayed at the station end, so that the user can intuitively obtain the driving information of the bus and quickly determine the optimal bus ride scheme for his own travel; in addition, by means of the real-time data obtained by the bus end, the driving area and the passenger flow information of the current bus and other data can be obtained, which can be used for further real-time accurate advertisement delivery, so as to improve the accuracy of advertisement delivery of the bus system; in addition, by means of the electronic paper display module, the visualization degree of advertisement information and bus scheduling information display can be greatly improved, which not only facilitates the information acquisition of the user, but also is more eye-catching and improves the attention of the user to the advertisement information.

[0011] Further, the bus end is further configured to acquire real-time surrounding images of the bus end by means of the image acquisition sensor every preset time, and analyze all the real-time surrounding images to acquire the real-time vehicle state information.

[0012] Compared with the prior art, the above-mentioned embodiment has the following beneficial effects: by means of the image acquisition sensor, the portrait and vehicle information of the bus end are acquired in real time, and the real-time acquired data can improve the accuracy of subsequent advertisement recommendation and the real-time of scheduling data according to the portrait and vehicle information.

[0013] Further, the recommended advertisement generated by the server cloud according to the real-time data comprises:

[0014] extracting all the portrait feature information in the real-time surrounding image of the bus end at the current time;

[0015] acquiring the geographical position information of the bus end according to the real-time vehicle state information at the current time;

[0016] generating the recommended advertisement of each bus end according to the all the portrait feature information and the geographical position information;

[0017] pushing the recommended advertisement to the second electronic paper module corresponding to the bus end.

[0018] Compared with the prior art, the above-mentioned embodiment has the following beneficial effects: in order to improve the accuracy of the recommended advertisement of the bus end, in addition to the portrait feature information in the surrounding image, the geographical position information when the image is taken is also combined to improve the accuracy of advertisement delivery.

[0019] Further, the extracting all the portrait feature information in the real-time surrounding image of the bus end at the current time comprises:

[0020] extracting a human image in the real-time surrounding image through threshold segmentation;

[0021] extracting a human feature of all human targets in the human image through target detection;

[0022] inputting the human feature into a preset classifier in sequence to obtain the human feature information of each human target.

[0023] Compared with the prior art, the above embodiment has the following beneficial effects: through threshold segmentation, noise data in the image can be effectively removed, and then through target detection, the human feature of all human targets in the human image can be accurately obtained, and finally according to the human feature data, a suitable classifier is selected to accurately obtain the human feature information of the corresponding human target, thereby improving the accuracy of human feature information extraction in the image.

[0024] Further, the bus end analyzes all the real-time surrounding images to obtain real-time vehicle state information, including:

[0025] extracting a state picture of each bus in the surrounding image and labeling a motion feature point in the state picture;

[0026] matching the motion feature point with a comparison image in a first comparison database to obtain state information of each bus in the surrounding image;

[0027] According to the state information of each bus in the surrounding image, the real-time vehicle state information of the bus end is calculated.

[0028] Compared with the prior art, the above embodiment has the following beneficial effects: in order to improve the efficiency of vehicle state information acquisition, by extracting a motion feature point and matching the motion feature point with an image in the database, the motion state of the surrounding bus is quickly determined, and according to the motion state of the surrounding vehicle, the real-time vehicle state information of the current bus end can be more detailed.

[0029] Further, after extracting the state picture of each bus in the surrounding image, an advertisement image of a bus skin in the state picture is further extracted.

[0030] Compared with the prior art, the above embodiment has the following beneficial effects: after extracting the advertisement image of other bus vehicles, the background performs big data analysis according to the advertisement image of other bus vehicles, and the analysis result can be used for comprehensive judgment in advertisement recommendation of the bus end, thereby improving the advertisement recommendation accuracy of the bus end.

[0031] Further, the bus terminal is further configured to receive scheduling data of the bus terminal generated by the server cloud, and display the scheduling data of the bus terminal by the second electronic paper module.

[0032] Compared with the prior art, the above-mentioned embodiment has the beneficial effects that the scheduling data of the bus terminal can be displayed in real time by the second electronic paper module, thereby improving the visibility of the scheduling data.

[0033] In one of the embodiments, the intelligent bus system further comprises a handheld terminal, wherein the handheld terminal is configured to send a data synchronization instruction to the server cloud to obtain scheduling data of each bus terminal.

[0034] Compared with the prior art, the above-mentioned embodiment has the beneficial effects that the real-time scheduling data of the bus terminal to be taken by the user can be obtained at any occasion by the handheld terminal, thereby improving the convenience of user experience.

[0035] Further, the handheld terminal is further configured to receive the recommended advertisement displayed by the second electronic paper module in the bus terminal.

[0036] Compared with the prior art, the above-mentioned embodiment has the beneficial effects that the recommended advertisement information of the bus terminal can be conveniently obtained by the handheld terminal, thereby improving the advertisement revenue and the advertisement experience of the user.

[0037] In one of the embodiments, the server cloud, all the bus terminals, all the station terminals, all the handheld terminals and all the second electronic paper modules exchange and update data with the scheduling center in real time through a wireless network.

[0038] Compared with the prior art, the above-mentioned embodiment has the beneficial effects that all the modules and devices need to exchange and update data with the scheduling center in real time in order to ensure the effectiveness and real-time performance of the scheduling data transmission. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 A structure schematic diagram of an intelligent bus system based on electronic paper is provided for the embodiment of the present application;

[0040] Figure 2 Another structure schematic diagram of an intelligent bus system based on electronic paper is provided for the embodiment of the present application;

[0041] Figure 3 Another structure schematic diagram of an intelligent bus system based on electronic paper is provided for the embodiment of the present application. DETAILED DESCRIPTION

[0042] With reference to the accompanying drawings: clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of the present application.

[0043] Embodiment one

[0044] Please refer to Figure 1 A structure diagram of an intelligent public transport system based on electronic paper provided by an embodiment of the present application, comprising: a server cloud 11, a platform end 12 and a bus end 13; the platform end 12 comprises a first electronic paper module 121; the bus end 13 comprises a second electronic paper module 131;

[0045] Further, the server cloud 11 is configured to receive real-time data sent by each bus end 13 and generate scheduling data of each bus end 13 according to the real-time data; the real-time data comprises real-time surrounding images and real-time vehicle state information; the platform end 12 is configured to obtain the scheduling data of each bus end 13 and display the scheduling data of each bus end 13 through the first electronic paper module; the bus end 13 is configured to obtain the real-time data and display recommended advertisements generated by the server cloud 11 according to the real-time data through the second electronic paper module 131.

[0046] Preferably, the second electronic paper module 131 can be arranged inside the bus end 13, such as behind the seat, the inner wall of the bus end 13 or the inner side of the door of the bus end 13, for displaying recommended advertisement information or scheduling data of the current bus end.

[0047] Preferably, the second electronic paper module 131 can also be arranged on the body of the bus end 13 for displaying recommended advertisement information or scheduling data of the current or other bus end 13 in real time.

[0048] Preferably, the first electronic paper module 121 and the second electronic paper module 131 are electronic paper with high-brightness full-color intelligent self-check display technology. The electronic paper controls brightness, color and saturation through a self-contained computer chip that operates independently, thereby improving high-brightness and full-color display effect in various lighting environments, and having RRGB, RGGB and RGBB cycle self-check software for self-checking when displaying in a matrix.

[0049] The above embodiments acquire dispatch data from each bus terminal through real-time data, thereby improving the accuracy of data such as the detailed arrival time of each bus at each station and the congestion situation of various roads. Furthermore, the dispatch data is displayed at the station, allowing users to intuitively obtain bus travel information and quickly decide on the optimal public transportation plan for their trip. In addition, the real-time data obtained from the bus terminals can provide information such as the current bus's operating area and passenger flow information, which can be used for further real-time and precise advertising, thereby improving the accuracy of advertising in the public transportation system. Moreover, the electronic paper display module greatly enhances the visualization of advertising information and bus dispatch information, not only facilitating information access for users but also making it more eye-catching and increasing user attention to advertising information.

[0050] Furthermore, the bus terminal 13 is also used to acquire real-time surrounding images of the bus terminal 13 at preset intervals using an image acquisition sensor, and to analyze all the real-time surrounding images to obtain the real-time vehicle status information.

[0051] Preferably, the preset time can be to acquire real-time surrounding images every 3 seconds.

[0052] The above embodiments use image acquisition sensors to collect real-time images of people and vehicles on the bus. The real-time data can improve the accuracy of subsequent advertising recommendations based on the images and vehicle information, as well as the real-time nature of scheduling data.

[0053] Furthermore, the recommended advertisement generated by the server cloud 11 based on the real-time data includes: extracting all human feature information from the real-time surrounding image of the bus terminal 13 at the current moment; obtaining the geographical location information of the bus terminal 13 based on the real-time vehicle status information at the current moment; generating recommended advertisements for each bus terminal 13 based on all human feature information and the geographical location information; and pushing the recommended advertisements to the second electronic paper module 131 of the corresponding bus terminal 13.

[0054] Preferably, the geographical location information can be calculated based on real-time vehicle status information, or it can be located by GPS information stored in the image information when the image is captured, or it can be obtained directly through the navigation system.

[0055] In order to improve the accuracy of recommended advertisements on buses, the above embodiments, in addition to extracting the feature information of people in the surrounding images, also combine the geographical location information when the images were taken. The geographical location information can obtain the current geographical location of the bus. For example, when it is near a school, relevant advertisements can be placed based on the school's or parents' needs for improving students' grades. Similarly, when it is near a hospital, medical advertisements can be placed, thereby improving the accuracy of advertisement placement.

[0056] Furthermore, the step of extracting all human feature information from the real-time surrounding image of the bus terminal 13 at the current moment includes: extracting human images from the real-time surrounding image through threshold segmentation; extracting human features of all human targets in the human images through target detection; and sequentially inputting the human features into several preset classifiers to obtain the human feature information of each human target.

[0057] Preferably, after extracting the characteristics of each target person, the characteristics can be input into a preset classifier containing information such as classification ratio, age, and occupation to achieve individual feature classification, thereby improving the accuracy of subsequent character feature extraction.

[0058] The above embodiments can effectively remove noisy data in the image through threshold segmentation. Next, through target detection, the human features of all human targets in the image can be accurately obtained. Finally, based on the human feature data, a suitable classifier is selected to accurately obtain the human feature information of the corresponding human target, thereby improving the accuracy of human feature information extraction in the image.

[0059] Furthermore, the bus terminal 13 analyzes all the real-time surrounding images to obtain real-time vehicle status information, including: extracting status images of each bus in the surrounding images and labeling motion feature points in the status images; matching the motion feature points with comparison images in the first comparison database to obtain status information of each bus in the surrounding images; and calculating the real-time vehicle status information of the bus terminal 13 based on the status information of each bus in the surrounding images.

[0060] In order to improve the efficiency of vehicle status information acquisition, the above embodiments extract high motion feature points and match these motion feature points with images in the database to quickly determine the motion status of surrounding buses. Based on the motion status of surrounding vehicles, the real-time vehicle status information of the current bus can be calculated in more detail.

[0061] Preferably, after extracting the status images of each bus in the surrounding images, the status images can be sent to the server cloud 11. The server cloud 11 processes the status images, such as marking motion points and motion status labels, and stores the processed status images in the first comparison database, thereby enriching the database and improving the accuracy of subsequent real-time vehicle status information acquisition.

[0062] Preferably, an image acquisition device can also be installed inside the bus terminal 13 to acquire image information of people inside the bus terminal 13. The bus terminal 13 adjusts the speed limit based on this image information and uploads the speed limit adjustment data to the cloud server 11. Specifically, the density of surrounding vehicles is calculated by collecting the number of vehicles passing by on both sides in the first unit of time and the braking status of the vehicle in the second unit of time. The proportion of elderly, weak, sick, disabled, and pregnant people is calculated based on the data collected by the in-vehicle image acquisition sensor. The speed limit is calculated based on the current speed of the vehicle, the density of surrounding vehicles, and the proportion of elderly, weak, sick, disabled, and pregnant people. The speed limit is compared with the speed limit of the current road segment, and the smaller value is the current actual speed limit of the vehicle. After the server cloud 11 receives the speed limit adjustment data, it estimates the arrival time of the bus terminal 13. Specifically, it determines the actual speed under the current actual speed limit, divides the remaining distance to the station by the actual speed, and obtains the estimated arrival time of the vehicle. The estimated arrival time is compared with the specified time. If the error exceeds the specified range, the arrival time of the vehicle needs to be calibrated, the actual speed limit of the vehicle is calculated and adjusted, and the actual speed limit is transmitted to the bus terminal 13.

[0063] Preferably, an image acquisition device can also be installed inside the bus end 13 to monitor and control the doors of the bus end 13. Specifically, the bus end 13 acquires data collected by the in-vehicle image acquisition sensor and combines it with the signal transmitted by the sensor at the station end 12 to restrict the opening and closing of the vehicle doors. When the bus end 13 receives the signal transmitted by the sensor at the station end 12, it can control the opening and closing of the doors. When the bus end 13 does not receive the signal transmitted by the sensor at the station end 12, it cannot control the opening of the doors. When the image acquisition sensor inside the bus end 13 detects an unexpected situation, it can control the opening and closing of the doors.

[0064] Preferably, after extracting all the real-time surrounding images, the actions and states of the people in the images can be further analyzed to determine whether any accidents have occurred in the captured footage. Specifically, this includes: whether the buses around the vehicle stopped, entered the port, and started smoothly according to operating procedures; further capturing the special actions and states of the buses in the images; annotating the motion feature points of the buses in the screenshots; and then matching them with comparison images in the first comparison database. The screenshot size is adjusted by proportional scaling, and the advertisements displayed on the bus skin in the screenshots are captured and stored. Finally, the collected data is compared with a threshold; if it is less than the threshold, it is determined that the bus's action or state matches the comparison image.

[0065] Furthermore, after extracting the status images of each bus from the surrounding images, the advertising images on the bus skins are further extracted from the status images.

[0066] Preferably, after extracting the advertising images of each bus from the surrounding images, the advertising images can also be sent to the server cloud 11. The server cloud 11 stores and analyzes the status images of other buses in the surrounding area, and uses the analysis results for subsequent advertising recommendations to avoid repeating similar advertising recommendations.

[0067] After extracting advertising images from other buses in the above embodiments, the server cloud 11 performs big data analysis based on the advertising images from other buses. The analysis results can be used for comprehensive evaluation when recommending advertisements on this bus, thereby improving the effectiveness of advertising recommendations on this bus.

[0068] Furthermore, the bus terminal 13 is also used to receive the current scheduling data of the bus terminal 13 generated by the server cloud 11, and to display the current scheduling data of the bus terminal 13 through the second electronic paper module.

[0069] The above embodiment uses a second electronic paper module to display the current bus dispatch data in real time, thereby improving the visibility of the dispatch data.

[0070] In one embodiment, reference Figure 2 The intelligent bus system further includes a handheld terminal 14; wherein the handheld terminal 14 is used to send a data synchronization command to the server cloud 11 to obtain the scheduling data of each bus terminal 13.

[0071] The above embodiments allow users to obtain real-time dispatch data of the bus they need to take from any location via a handheld device, improving the convenience of the user experience.

[0072] Furthermore, the handheld terminal 14 is also used to receive the recommended advertisements displayed by the second electronic paper module 131 in the bus terminal 13.

[0073] Preferably, the handheld terminal 14 can connect to the second electronic paper module 131 wirelessly via Bluetooth or other means, obtain the recommended advertisements displayed by the second electronic paper module 131, and jump to the corresponding product display interface based on the recommended advertisements.

[0074] Preferably, the handheld terminal 14 can also be connected to the first electronic paper module 121 at the platform end to obtain the information data displayed by the electronic paper module.

[0075] The above embodiments have the following beneficial effects: through the handheld device, the recommended advertising information of the bus terminal can be easily obtained, which not only increases the advertising revenue, but also improves the user's advertising experience.

[0076] In one embodiment, reference Figure 3 The server cloud 11, all the bus terminals 13, all the station terminals 12, all the handheld terminals 14, and all the second electronic paper modules 131 exchange and update data with the dispatch center 15 in real time via a wireless network.

[0077] In order to ensure the effectiveness and real-time performance of scheduling data transmission, all modules and devices in the above embodiments need to exchange and update data with the scheduling center 15 in real time, thereby improving the uniformity and accuracy of the data.

[0078] In summary, the electronic paper-based intelligent bus system provided by this invention offers the following advantages over existing technologies: It acquires real-time data from each bus, improving the accuracy of arrival times at each stop and traffic congestion information. Furthermore, displaying the dispatch data at the bus stop allows users to intuitively access bus information and quickly determine the optimal travel option. Additionally, the real-time data from the bus terminal provides information on the bus's current location and passenger flow, enabling more precise and real-time advertising and improving the accuracy of advertising within the bus system. Moreover, the electronic paper display module significantly enhances the visualization of advertising and bus dispatch information, making it more convenient for users and increasing their attention to the advertisements.

[0079] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. An intelligent bus system based on electronic paper, characterized by, The system comprises a server cloud, a station terminal and a bus terminal. The station terminal comprises a first electronic paper module, and the bus terminal comprises a second electronic paper module. The server cloud is configured to receive real-time data sent by the bus terminals and generate scheduling data of the bus terminals according to the real-time data. The station terminal is configured to acquire the scheduling data of the bus terminals and display the scheduling data of the bus terminals through the first electronic paper module. The bus terminal is configured to acquire the real-time data and display recommended advertisements generated by the server cloud according to the real-time data through the second electronic paper module. The bus terminal is also configured to acquire real-time surrounding images of the bus terminal through image acquisition sensors every preset time interval and analyze all the real-time surrounding images to acquire real-time vehicle status information. The recommended advertisements generated by the server cloud according to the real-time data comprise: extracting all the feature information of persons in the real-time surrounding images of the bus terminal at the current time; acquiring geographical position information of the bus terminal according to the real-time vehicle status information at the current time; generating recommended advertisements of the bus terminals according to the all the feature information of persons and the geographical position information; and pushing the recommended advertisements to the second electronic paper module corresponding to the bus terminals.

2. The smart bus system based on electronic paper as claimed in claim 1, wherein, The extraction of all the feature information of persons in the real-time surrounding images of the bus terminal at the current time comprises: extracting person images in the real-time surrounding images through threshold segmentation; extracting feature information of all person targets in the person images through target detection; and inputting the feature information of the person targets into preset classifiers in sequence to acquire the feature information of the person targets.

3. The smart bus system based on electronic paper as claimed in claim 1, wherein, The analysis of all the real-time surrounding images by the bus terminal to acquire real-time vehicle status information comprises: extracting state pictures of buses in the surrounding images and labeling motion feature points in the state pictures; matching the motion feature points with comparison images in a first comparison database to acquire state information of the buses in the surrounding images; and estimating the real-time vehicle status information of the bus terminal according to the state information of the buses in the surrounding images.

4. The smart bus system based on electronic paper as claimed in claim 3, wherein, After extracting the state pictures of the buses in the surrounding images, the system further extracts advertisement images of bus skins in the state pictures.

5. The smart bus system based on electronic paper as claimed in claim 1, wherein, The bus terminal is also configured to receive scheduling data of the bus terminal generated by the server cloud and display the scheduling data of the bus terminal through the second electronic paper module.

6. The smart bus system based on electronic paper as claimed in claim 1, wherein, The intelligent bus system further comprises a handheld terminal.

7. The smart bus system based on electronic paper as claimed in claim 6, wherein, The handheld terminal is configured to send a data synchronization instruction to the server cloud to acquire scheduling data of the bus terminals. The handheld terminal is also configured to receive the recommended advertisements displayed by the second electronic paper module in the bus terminal.

8. The smart bus system based on electronic paper as claimed in claim 6, wherein, The server cloud, all the bus ends, all the station ends, all the handheld ends and all the second electronic paper modules exchange and update data with the dispatch center in real time through a wireless network.

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