Offline store visiting flow monitoring system
By combining lidar sensors, binocular vision cameras, Bluetooth beacons and Wi-Fi positioning base stations, as well as recognition cameras and micro-expression sensors, an offline store visit traffic monitoring system is built, which solves the problem of inaccurate data and inability to obtain detailed features in the existing technology, and achieves high accuracy and detailed data acquisition, providing refined data support for store operations.
Patent Information
- Application Number
- CN202510366701.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-26
- Publication Date
- 2025-06-20
AI Technical Summary
When monitoring offline store visits traffic, the existing technology has problems such as inefficiency, inaccurate data, and inability to obtain detailed characteristics and behavioral information, which is difficult to meet the merchant's needs for in-depth data mining and utilization.
The combination of lidar sensors, binocular vision cameras, Bluetooth beacons and Wi-Fi positioning base stations is adopted, and combined with recognition cameras and micro-expression sensors, an offline store visit traffic monitoring system is built to realize data collection, transmission, cleaning, analysis and display.
It improves the accuracy and reliability of visit traffic monitoring, can obtain detailed characteristics and behavioral information of visitors, provide rich data support, and provide decision-making basis for the refined operation of store operations.
Smart Images
Figure CN120181902A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of commercial operation monitoring, and particularly to an offline store visit traffic monitoring system. Background Art
[0002] With the increasingly fierce commercial competition, offline stores have an increasingly urgent need to accurately grasp their own operation status. The visit traffic of a store is one of the key indicators to measure its business vitality and market attractiveness, and has important guiding significance for aspects such as the formulation of the store's marketing strategy, the adjustment of commodity display, and the optimization of personnel allocation.
[0003] At present, there are some methods and systems for monitoring the visit traffic of offline stores on the market, but they all have certain limitations. The traditional manual counting method is not only inefficient and consumes a large amount of labor costs, but also prone to statistical errors, and cannot guarantee the accuracy and timeliness of data. Although the monitoring equipment based on infrared sensing technology can achieve a certain degree of automated counting, it is easily interfered by environmental factors (such as temperature changes, object occlusion, etc.), resulting in inaccurate counting, and the detailed characteristics and behavior information of the visiting personnel cannot be obtained. Although the video surveillance analysis system can record the entry and exit of personnel, there are certain difficulties in personnel recognition and traffic statistics in complex scenarios, and the data analysis function is relatively weak, making it difficult to meet the needs of merchants for in-depth data mining and utilization. Summary of the Invention
[0004] The purpose of the present invention is to provide an offline store visit traffic monitoring system to solve the problems raised in the above background art.
[0005] To achieve the above purpose, the present invention provides the following technical solution: An offline store visit traffic monitoring system includes a monitoring system module. The monitoring system module includes a data acquisition module, a data transmission module, a data cleaning module, a data analysis module, a data storage module, and a display and decision-making module. The data acquisition module includes a feature acquisition unit, a distribution acquisition unit, and a traffic acquisition unit. The display and decision-making module includes a display unit and a decision support unit. The output ends of the data acquisition module, the data transmission module, the data cleaning module, the data analysis module, the data storage module, and the display and decision-making module are unidirectionally electrically connected to the input end of the monitoring system module. The output ends of the display unit and the decision support unit are unidirectionally electrically connected to the input end of the display and decision-making module.
[0006] Preferably, the traffic acquisition unit includes a lidar sensor and a binocular vision camera. The output ends of the lidar sensor and the binocular vision camera are unidirectionally electrically connected to the input end of the traffic acquisition unit.
[0007] Preferably, the distributed acquisition unit includes Bluetooth beacons and Wi-Fi positioning base stations, and the output ends of the Bluetooth beacons and Wi-Fi positioning base stations are unidirectionally electrically connected to the input end of the distributed acquisition unit.
[0008] Preferably, the feature acquisition unit includes an identification camera and a micro-expression sensor, and the output ends of the identification camera and the micro-expression sensor are unidirectionally electrically connected to the input end of the feature acquisition unit.
[0009] Preferably, the display unit includes a large-screen display and a terminal application program, and the output ends of the large-screen display and the terminal application program are unidirectionally electrically connected to the input end of the display unit.
[0010] Compared with the prior art, the beneficial effects of the present invention are as follows: Through the combined use of lidar sensors, binocular vision cameras, Bluetooth beacons and Wi-Fi positioning base stations, the present invention greatly improves the accuracy and reliability of the monitoring of the visiting traffic, and can effectively avoid the influence of environmental factors and human interference on the monitoring results. Through the combined use of identification cameras and micro-expression sensors, not only can the total number of visitors to the store be counted, but also detailed characteristics of the visitors can be obtained, such as gender, age, emotional state, etc., as well as behavior information, stay time, browsing path, purchase behavior, etc., providing rich data support for the refined operation of the store. The data is transmitted to the data cleaning module through the data transmission module, and the data cleaning module cleans and preprocesses the collected raw data, removing invalid data and error data. The data analysis module uses preset algorithms and models to deeply analyze the cleaned data, extracts valuable information and knowledge, and the processed data is displayed to the store management personnel in the form of charts and reports through a large-screen display. The decision support unit analyzes the results based on the data and provides corresponding decision-making suggestions for the management personnel, and the management personnel can formulate and adjust the business strategies of the store according to these suggestions. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] Figure 1 It is a schematic structural diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0012] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0013] The components of this application are all common standard parts or parts known to those skilled in the art. Their structures and principles can all be learned by those skilled in the art through technical manuals or obtained through conventional experimental methods.
[0014] Example 1: Please refer to Figure 1 : An offline store visit traffic monitoring system, including a monitoring system module. The monitoring system module includes a data acquisition module, a data transmission module, a data cleaning module, a data analysis module, a data storage module, and a display and decision-making module. The data acquisition module includes a feature acquisition unit, a distribution acquisition unit, and a traffic acquisition unit. The display and decision-making module includes a display unit and a decision support unit. The output ends of the data acquisition module, the data transmission module, the data cleaning module, the data analysis module, the data storage module, and the display and decision-making module are unidirectionally electrically connected to the input end of the monitoring system module. The output ends of the display unit and the decision support unit are unidirectionally electrically connected to the input end of the display and decision-making module. The traffic acquisition unit includes a lidar sensor and a binocular vision camera. The output ends of the lidar sensor and the binocular vision camera are unidirectionally electrically connected to the input end of the traffic acquisition unit. The distribution acquisition unit includes Bluetooth beacons and Wi-Fi positioning base stations. The output ends of the Bluetooth beacons and the Wi-Fi positioning base stations are unidirectionally electrically connected to the input end of the distribution acquisition unit. The feature acquisition unit includes an identification camera and a micro-expression sensor. The output ends of the identification camera and the micro-expression sensor are unidirectionally electrically connected to the input end of the feature acquisition unit. The display unit includes a large-screen display and a terminal application program. The output ends of the large-screen display and the terminal application program are unidirectionally electrically connected to the input end of the display unit.
[0015] During actual use, through the combined use of the lidar sensor, the binocular vision camera, the Bluetooth beacons, and the Wi-Fi positioning base stations, the accuracy and reliability of visit traffic monitoring are greatly improved, and the influence of environmental factors and human interference on the monitoring results can be effectively avoided. Through the combined use of the identification camera and the micro-expression sensor, not only can the total number of visit traffic to the store be counted, but also detailed characteristics of the visiting people can be obtained, such as: gender, age, and emotional state, as well as behavior information, stay time, browsing path, and purchase behavior, etc., providing rich data support for the refined operation of store operations.
[0016] During use: Install various data collection devices according to the actual usage requirements of the store. Install lidar sensors and binocular vision cameras at the entrance of the store to ensure that their monitoring fields of view can cover the entire entrance area. Evenly distribute Bluetooth beacons and Wi-Fi positioning base stations in the store to ensure no dead spots in signal coverage. Install recognition cameras and micro-expression sensors at key positions and adjust the angles and parameters of the devices to ensure their normal operation. After the system is started, each data collection device begins to collect relevant data in the store and transmits the data to the data cleaning module through the data transmission module. The data cleaning module cleans and preprocesses the collected raw data to remove invalid and incorrect data. The data analysis module uses preset algorithms and models to deeply analyze the cleaned data, extract valuable information and knowledge. The processed data is displayed to the store management personnel in the form of charts and reports through a large-screen display. The decision support unit analyzes the results based on the data and provides corresponding decision-making suggestions to the management personnel. The management personnel can formulate and adjust the store's business strategies according to these suggestions.
[0017] It is important to note that the construction and arrangement of the present application shown in multiple different exemplary embodiments are merely illustrative. Although only a few embodiments are described in detail in this disclosure, those who refer to this disclosure should easily understand that many modifications are possible without substantially departing from the novel teachings and advantages of the subject matter described in this application (for example, the dimensions, scales, structures, shapes and proportions of various components, and parameter values (such as temperature, pressure, etc.), installation arrangements, use of materials, color, orientation changes, etc.). For example, an element shown as integrally formed may be composed of multiple parts or elements, the position of the element may be inverted or otherwise changed, and the nature, number or position of discrete elements may be changed or altered. Therefore, all such modifications are intended to be included within the scope of the present invention. The order or sequence of any process or method steps may be changed or reordered according to alternative embodiments. In the claims, any "means-plus-function" clause is intended to cover the structures described herein that perform the recited function, and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present invention. Therefore, the present invention is not limited to a particular embodiment, but extends to various modifications that still fall within the scope of the appended claims.
[0018] In addition, to provide a concise description of the exemplary embodiments, not all features of the actual embodiments may be described (i.e., those features that are not relevant to the currently contemplated best mode of carrying out the present invention, or those features that are not relevant to implementing the present invention).
[0019] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting the protection scope of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the essence and scope of the technical solutions of the present invention.
Claims
1. An offline store visit flow monitoring system, including a monitoring system module, characterized in that: The monitoring system module includes a data acquisition module, a data transmission module, a data cleaning module, a data analysis module, a data storage module and a display decision module. The data acquisition module includes a feature acquisition unit, a distribution acquisition unit and a flow acquisition unit. The display decision module includes a display unit and a decision support unit. The output ends of the data acquisition module, the data transmission module, the data cleaning module, the data analysis module, the data storage module and the display decision module are unidirectionally electrically connected to the input end of the monitoring system module, and the output ends of the display unit and the decision support unit are unidirectionally electrically connected to the input end of the display decision module.
2. The offline store visit flow monitoring system according to claim 1, characterized in that: The flow collection unit includes a laser radar sensor and a binocular vision camera, and the output ends of the laser radar sensor and the binocular vision camera are unidirectionally electrically connected to the input end of the flow collection unit.
3. The offline store visit flow monitoring system according to claim 1, characterized in that: The distribution collection unit includes a Bluetooth beacon and a Wi-Fi positioning base station, and the output ends of the Bluetooth beacon and the Wi-Fi positioning base station are unidirectionally electrically connected to the input end of the distribution collection unit.
4. The offline store visit flow monitoring system according to claim 1, characterized in that: The feature acquisition unit includes a recognition camera and a micro-expression sensor, and the output ends of the recognition camera and the micro-expression sensor are unidirectionally electrically connected to the input end of the feature acquisition unit.
5. The offline store visit flow monitoring system according to claim 1, characterized in that: The display unit includes a large-screen display and a terminal application, and the output ends of the large-screen display and the terminal application are unidirectionally electrically connected to the input end of the display unit.