Passenger flow analysis method, device and system for target group

Abstract

The invention provides a passenger flow analysis method, device and system for a target group. The method comprises the following steps: determining a target area for the activity of the target group in a target scene; performing optical energy detection on the target area through an optical detection device arranged above the target area to obtain an optical energy detection signal; determining a passenger flow reference boundary value based on the environment illumination value corresponding to the target area and the installation height of the light detection device; extracting the light energy detection signal based on the passenger flow reference boundary value, and determining a passenger flow detection signal; and performing target analysis based on the passenger flow detection signal to obtain a target analysis result.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a passenger flow analysis method, device and system for a target group. Background Art

[0002] Passenger flow analysis in public places refers to collecting, processing and analyzing passenger flow data to understand the flow patterns, behavioral characteristics and distribution of people in specific places, thereby providing a scientific basis for operational management and other decisions.

[0003] Currently, conventional passenger flow analysis usually includes technologies such as video analysis, Wi-Fi probes, Bluetooth beacons, and infrared sensors. In order to achieve accurate analysis, this type of analysis method usually requires complex algorithms and artificial intelligence recognition and analysis, which is relatively costly. Summary of the Invention

[0004] The present application provides a passenger flow analysis method, device and system for a target group to at least solve the above technical problems existing in the prior art.

[0005] In a first aspect, the present application provides a passenger flow analysis method for a target group, the method comprising: determining a target area for the target group to move in a target scene; performing light energy detection on the target area by a light detection device arranged above the target area to obtain a light energy detection signal; determining a passenger flow reference boundary value based on the ambient illumination value corresponding to the target area and the installation height of the light detection device; extracting the light energy detection signal based on the passenger flow reference boundary value to determine a passenger flow detection signal; and performing target analysis based on the passenger flow detection signal to obtain a target analysis result.

[0006] In one possible implementation manner, the method further includes: when it is determined that the ambient illumination value has a specific changing trend, correcting the passenger flow reference boundary value based on the changed ambient illumination value to obtain a corrected passenger flow reference boundary value, and the corrected passenger flow reference boundary value is used to extract the light energy detection signal; wherein, the ambient illumination value is proportional to the numerical value of the passenger flow reference boundary value.

[0007] In one possible implementation manner, before extracting the light energy detection signal based on the passenger flow reference boundary value, the method further includes: when it is determined that the ambient illumination value has a specific change trend, determining a target amplification factor based on the changed ambient illumination value; amplifying the light energy detection signal based on the target amplification factor to obtain an amplified light energy detection signal, and the amplified light energy detection signal is used to determine a passenger flow detection signal.

[0008] In one possible implementation manner, determining the target magnification based on the changed ambient illumination value includes: obtaining a mapping relationship between the ambient illumination value and the corresponding magnification; and determining the target magnification corresponding to the changed ambient illumination value based on the mapping relationship between the ambient illumination value and the corresponding magnification; wherein the ambient illumination value is inversely proportional to the numerical value of the magnification.

[0009] In one possible implementation manner, the method further includes: determining whether the ambient illumination value has a specific change trend based on the light energy detection signal and / or the target light source corresponding to the target area.

[0010] In one possible implementation manner, before extracting the light energy detection signal based on the passenger flow reference boundary value to determine the passenger flow detection signal, the method further includes: filtering and amplifying the light energy detection signal to obtain a processed signal; and extracting the processed signal based on the passenger flow reference boundary value to determine the passenger flow detection signal.

[0011] In one possible implementation manner, filtering and amplifying the light energy detection signal to obtain a processed signal includes: filtering and amplifying the light energy detection signal to obtain a primary processed signal; and amplifying and filtering the primary processed signal to obtain a secondary processed signal.

[0012] In one possible implementation manner, the passenger flow reference boundary value includes a passenger flow upper boundary threshold. Correspondingly, the extraction of the light energy detection signal based on the passenger flow reference boundary value to determine the passenger flow detection signal includes: extracting the light energy detection signal that exceeds the passenger flow upper boundary threshold to determine the first passenger flow detection signal.

[0013] In one possible implementation manner, the passenger flow reference boundary value includes a passenger flow lower boundary threshold. Correspondingly, the extraction of the light energy detection signal based on the passenger flow reference boundary value to determine the passenger flow detection signal also includes: extracting the light energy detection signal that exceeds the passenger flow lower boundary threshold to determine a second passenger flow detection signal; and integrating the first passenger flow detection signal and the second passenger flow detection signal to obtain the passenger flow detection signal.

[0014] In one possible implementation manner, the target analysis is performed based on the passenger flow detection signal to obtain a target analysis result, including: performing an area analysis based on the passenger flow detection signal and the passenger flow reference boundary value to obtain an area analysis result; and determining a target analysis result based on the signal time and area analysis result of the light energy detection signal.

[0015] In one possible implementation manner, the target analysis is performed based on the passenger flow detection signal to obtain the target analysis result, including: performing light effect analysis based on the passenger flow detection signal to determine a target light effect mode, the target light effect mode including a color temperature adjustment mode, an illumination adjustment mode and / or a switch mode; and / or performing visualization analysis based on the passenger flow detection signal to determine a visualization analysis result; and / or performing habit analysis based on the passenger flow detection signal to determine a habit analysis result; and / or performing safety analysis based on the passenger flow detection signal to determine a safety analysis result.

[0016] In one possible implementation manner, the target analysis is performed based on the passenger flow detection signal to obtain a target analysis result, including: determining a plurality of different passenger flow detection signals corresponding to different target areas within the target scene; performing comparative analysis on the passenger flow detection signals to obtain passenger flow comparison information; and performing target analysis based on the passenger flow comparison information to obtain a target analysis result.

[0017] In one possible implementation manner, performing target analysis based on the passenger flow comparison information to obtain target analysis results includes: performing thermal distribution analysis within a target scene based on the passenger flow comparison information to determine passenger flow thermal information.

[0018] In one embodiment, the method further includes: determining the light distribution angle corresponding to the light detection device and the target area based on the installation height and the target area; adjusting the range of the light distribution lens corresponding to the light detection device based on the light distribution angle to obtain a lens range parameter; wherein the lens range parameter is used to make the detection range of the light detection device correspond to the target area.

[0019] In one embodiment, the method further includes: performing weighted division on the target area to obtain at least one target sub-area; optically designing the light distribution lens based on the target sub-area to obtain lens optical parameters; wherein the lens optical parameters are used to ensure that the signal proportion corresponding to the target sub-area with a higher weight in the light energy detection signal is not lower than the signal proportion corresponding to the target sub-area with a lower weight.

[0020] A second aspect of the present application provides a passenger flow analysis device, which includes: a determination module for determining a target area for the target group to move within a target scene; a detection module for performing light energy detection on the target area through a light detection device arranged above the target area to obtain a light energy detection signal; the determination module is also used to determine a passenger flow reference boundary value based on the ambient illumination value corresponding to the target area and the installation height of the light detection device; an extraction module for extracting the light energy detection signal based on the passenger flow reference boundary value to determine a passenger flow detection signal; and an analysis module for performing target analysis based on the passenger flow detection signal to obtain a target analysis result.

[0021] In one possible embodiment, the device also includes: a correction module, which is used to correct the passenger flow reference boundary value based on the changed ambient illumination value when it is determined that the ambient illumination value has a specific change trend, so as to obtain a corrected passenger flow reference boundary value, and the corrected passenger flow reference boundary value is used to extract the light energy detection signal; wherein the ambient illumination value is proportional to the numerical value of the passenger flow reference boundary value.

[0022] In one possible implementation manner, the determination module is further used to determine the target amplification factor based on the changed ambient illumination value when it is determined that the ambient illumination value has a specific change trend; the amplification module is used to amplify the light energy detection signal based on the target amplification factor to obtain an amplified light energy detection signal, and the amplified light energy detection signal is used to determine the passenger flow detection signal.

[0023] In one possible implementation, the determination module includes: obtaining a mapping relationship between an ambient illumination value and a corresponding magnification factor; determining a target magnification factor corresponding to the changed ambient illumination value based on the mapping relationship between the ambient illumination value and the corresponding magnification factor; wherein the ambient illumination value is inversely proportional to the value of the magnification factor.

[0024] In one possible implementation manner, the determination module is further configured to determine whether the ambient illumination value has a specific change trend based on the light energy detection signal and / or the target light source corresponding to the target area.

[0025] In one embodiment, the device further includes: a filtering module for filtering and amplifying the light energy detection signal to obtain a processed signal; and an extraction module for extracting the processed signal based on the passenger flow reference boundary value to determine the passenger flow detection signal.

[0026] In one possible implementation manner, the filtering module includes: performing filtering and amplifying processing on the light energy detection signal to obtain a primary processing signal; and performing amplifying and filtering processing on the primary processing signal to obtain a secondary processing signal.

[0027] In one embodiment, the passenger flow reference boundary value includes a passenger flow upper boundary threshold. Correspondingly, the extraction module includes: an extraction submodule for extracting the light energy detection signal that exceeds the passenger flow upper boundary threshold to determine the first passenger flow detection signal.

[0028] In one embodiment, the passenger flow reference boundary value includes a passenger flow lower boundary threshold, and correspondingly, the extraction module also includes: an extraction submodule, used to extract the light energy detection signal that exceeds the passenger flow lower boundary threshold to determine a second passenger flow detection signal; and an integration submodule, used to integrate the first passenger flow detection signal and the second passenger flow detection signal to obtain the passenger flow detection signal.

[0029] In one embodiment, the analysis module includes: an analysis submodule, used to perform area analysis based on the passenger flow detection signal and the passenger flow reference boundary value to obtain an area analysis result; and a determination submodule, used to determine a target analysis result based on the signal time and area analysis result of the light energy detection signal.

[0030] In one possible implementation, the analysis module includes: performing light effect analysis based on the passenger flow detection signal to determine a target light effect mode, wherein the target light effect mode includes a color temperature adjustment mode, an illumination adjustment mode and / or a switch mode; and / or performing visualization analysis based on the passenger flow detection signal to determine a visualization analysis result; and / or performing habit analysis based on the passenger flow detection signal to determine a habit analysis result; and / or performing safety analysis based on the passenger flow detection signal to determine a safety analysis result.

[0031] In one possible implementation manner, the determination submodule is further used to determine multiple different passenger flow detection signals corresponding to different target areas within the target scene; the analysis module also includes: a comparison submodule, used to perform comparative analysis on the passenger flow detection signals to obtain passenger flow comparison information; the analysis submodule is used to perform target analysis based on the passenger flow comparison information to obtain target analysis results.

[0032] In one possible implementation, the analysis submodule includes: performing a thermal distribution analysis within a target scene based on the passenger flow comparison information to determine passenger flow thermal information.

[0033] In one possible embodiment, the determination module is further used to determine the light distribution angle corresponding to the light detection device and the target area based on the installation height and the target area; the device also includes: an adjustment module, used to adjust the range of the light distribution lens corresponding to the light detection device based on the light distribution angle to obtain a lens range parameter; wherein the lens range parameter is used to make the detection range of the light detection device correspond to the target area.

[0034] In one embodiment, the device also includes: a division module for performing weighted division on the target area to obtain at least one target sub-area; a design module for performing optical design on the light distribution lens based on the target sub-area to obtain lens optical parameters; wherein the lens optical parameters are used to ensure that the signal proportion corresponding to the target sub-area with a higher weight in the light energy detection signal is not lower than the signal proportion corresponding to the target sub-area with a lower weight.

[0035] The third aspect of the present application provides a passenger flow analysis system for a target group, comprising an information control center device and at least one light detection device; the light detection device is arranged above a corresponding target area in a target scene, and comprises: a detection module for performing light energy detection on the target area to obtain a light energy detection signal; a sending module for sending the light energy detection signal to the information control center device; the information control center device comprises: a determination module for determining a target area for activities of the target group; an acquisition module for acquiring the light energy detection signal from the light detection device; the determination module is further used to determine a passenger flow reference boundary value based on the ambient illumination value corresponding to the target area and the installation height of the light detection device; an extraction module for extracting the light energy detection signal based on the passenger flow reference boundary value to determine a passenger flow detection signal; and an analysis module for performing target analysis based on the passenger flow detection signal to obtain a target analysis result.

[0036] The present application provides a passenger flow analysis method, device and system for a target group. By setting a light detection device above the target area, a light energy detection signal corresponding to the target area is obtained, and the passenger flow detection signal is determined from the light energy detection signal using the passenger flow reference boundary value. By analyzing the passenger flow detection signal, passenger flow analysis of the target area is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and other objects, features and advantages of the exemplary embodiments of the present application will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present application are shown in an illustrative and non-limiting manner, in which: Figure 1 A flow chart of a passenger flow analysis method for a target group according to an embodiment of the present application is shown; Figure 2 A schematic diagram of an installation scenario of a passenger flow analysis method for a target group according to an embodiment of the present application is shown; Figure 3 A schematic diagram of a scenario waveform of a passenger flow analysis method for a target group according to an embodiment of the present application is shown; Figure 4The schematic diagram of the scene circuit of a passenger flow analysis method for a target group in an embodiment of the present application is shown. Figure 1 ; Figure 5 The schematic diagram of the scene circuit of a passenger flow analysis method for a target group in an embodiment of the present application is shown. Figure 2 ; Figure 6 A schematic diagram showing the module composition of a passenger flow analysis device for a target group according to an embodiment of the present application is shown; Figure 7 A schematic diagram of the module composition of a passenger flow analysis system for a target group according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0038] In order to make the purpose, features, and advantages of this application more obvious and easy to understand, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of this application.

[0039] Figure 1 A flow chart of a passenger flow analysis method for a target group according to an embodiment of the present application is shown.

[0040] See also Figure 1 In a first aspect, an embodiment of the present application provides a passenger flow analysis method for a target group, the method comprising: operation 101, determining a target area for the target group to move in a target scene; operation 102, performing light energy detection on the target area by a light detection device arranged above the target area to obtain a light energy detection signal; operation 103, determining a passenger flow reference boundary value based on the ambient illumination value corresponding to the target area and the installation height of the light detection device; operation 104, extracting the light energy detection signal based on the passenger flow reference boundary value to determine a passenger flow detection signal; operation 105, performing target analysis based on the passenger flow detection signal to obtain a target analysis result.

[0041] The embodiment of the present application provides a passenger flow analysis method for a target group, which is applied to a control device with data processing capabilities. The target scene to which this method is applicable is an indoor environment or an outdoor supplementary lighting environment with a certain degree of lighting stability. A lighting system is provided in the target scene, and the lighting system is used to ensure that the brightness in the target scene has a certain degree of stability. The specific representation can be that the illumination in the target scene without a target group is stable or the frequency of change is regular within a unit time. Among them, the target scenes include but are not limited to: shopping malls, supermarkets, cultural and sports halls and other public places.

[0042] In operation 101, the target scene can be divided into multiple target areas. The target area is used to represent the area within the target scene where the target group moves. The size and shape of the target area can be determined based on the detection range of the light detection device and is typically circular or nearly circular. The target group is generally used to represent all groups, specific groups of people, and / or objects moving within the target scene. For example, if the target scene is a supermarket, the target group can include customers shopping in the supermarket or the shopping carts carried by customers.

[0043] Figure 2 A schematic diagram of an installation scenario of a passenger flow analysis method for a target group according to an embodiment of the present application is shown.

[0044] See also Figure 2 In operation 102, the light detection device 201 is a light sensor, which is connected to the control device. In the circuit, the light detection device 201 can be selected as a photoresistor, a photodiode, a phototransistor, etc. The light detection device is installed above the target area 203 so that the detection direction of the detection head of the light detection device is perpendicular to the target area, forming a detection range 202 with an angle of θ. Compared with other installation positions, the vertical setting at the top can make the detection range 202 more stable and the boundaries inside and outside the detection range 202 clear. The detection range 202 of the light detection device 201 corresponds to the boundary of the target area 203. Since the detection direction is at the top, the target group will not overlap within the target range 203 during the detection process. Moreover, since the lighting system is usually also at the top, the overall lighting in the target area can be made more stable and uniform, ensuring the accuracy of the light energy detection signal and avoiding omissions.

[0045] Light energy detection of the target area can be real-time detection or timed detection. In the real-time monitoring scenario, the light detection device performs real-time light energy detection on the target area, obtains real-time light energy detection signals, and extracts and analyzes them in real time to obtain real-time target analysis results. It can also correspond to the business hours of the supermarket, perform real-time detection or timed detection during business hours, and not perform detection outside of business hours. Timed detection can be achieved by setting the detection time, detection frequency, and detection duration, such as performing detection every thirty minutes, each detection lasting ten minutes, and analyzing the target analysis results corresponding to the ten-minute light energy detection signals.

[0046] The light energy detection signal is used to reflect changes in illumination within the target area. When there's no target group within the target area, the light detection device detects ambient light without the target group. This light reflection is stable, and the light energy detection signal is characterized by a stable electrical signal, typically displaying a waveform with smooth fluctuations and a stable frequency. However, when the target group is present, their clothing, movements, and other factors alter the original light reflection within the target area, causing the light energy detection signal to become unstable, typically displaying a waveform with significant fluctuations and an irregular frequency.

[0047] Figure 3 A schematic diagram of scene waveforms of a passenger flow analysis method for a target group according to an embodiment of the present application is shown.

[0048] See also Figure 3 For ease of understanding, in one implementation scenario, the waveform changes corresponding to the light energy detection signal are displayed with voltage-related parameters as the vertical axis and time changes as the horizontal axis. It is understandable that if the horizontal and vertical axes corresponding to the waveform change, the waveform also needs to be converted accordingly.

[0049] In operation 103, the specific value of the light energy detection signal detected by the light detection device is related to the installation height of the light detection device and the ambient illumination value corresponding to the target area, and is related to the illumination of the lighting system. Generally, the higher the ambient illumination value, the stronger the light reflection, and the higher the light intensity represented by the light energy detection signal detected by the light detection device; the farther the installation position of the light detection device is from the target area, the longer the light reflection distance, and the lower the light intensity represented by the corresponding light energy detection signal. Therefore, based on the ambient illumination value and the installation height of the light detection device, the value corresponding to the stable ambient light can be determined, and the passenger flow reference boundary value can be determined accordingly. The passenger flow reference boundary value is a boundary value used to distinguish whether there is a target group entering the target area, that is, a dividing value used to distinguish between a waveform with no obvious fluctuations, stable fluctuations and a stable frequency and a waveform with obvious fluctuations and an irregular frequency.

[0050] In operation 104, the light energy detection signal is extracted by the passenger flow reference boundary value to obtain a passenger flow detection signal. Generally, a signal exceeding the passenger flow reference boundary value is determined as a passenger flow detection signal.

[0051] In operation 105, the passenger flow detection signal can be applied to various analysis purposes. For the specific purpose of analyzing target group behavior, passenger flow analysis can be a direct objective or influencing factor of the target analysis results. When passenger flow analysis is an influencing factor, the target analysis includes, but is not limited to, adjusting the lighting system based on passenger flow, adjusting the visualization screen based on passenger flow, and analyzing the habits of the target group based on passenger flow.

[0052] Furthermore, the target analysis method can be a single target area analysis or a multi-target area analysis based on the time dimension, or different light detection devices can be set for different target areas to obtain different passenger flow detection signals for different target areas, thereby realizing comparative analysis of multiple target areas and thus realizing an overall analysis of the target scene.

[0053] Through the above operations, the embodiment of the present application can accurately obtain passenger flow detection signals corresponding to one or more target areas through one or more light detection devices installed on the top of the target area, and use one or more passenger flow detection signals to realize the analysis of different targets in one or more target areas.

[0054] Since the light energy detection signal will change with the change of the ambient illumination value, and the passenger flow detection signal in the embodiment of the present application is actually related to the light energy detection signal, the method of extracting the passenger flow detection signal in the embodiment of the present application also needs to be adjusted with the change of the ambient illumination value.

[0055] In one embodiment, the method also includes: when it is determined that the ambient illumination value has a specific change trend, correcting the passenger flow reference boundary value based on the changed ambient illumination value to obtain a corrected passenger flow reference boundary value; wherein the ambient illumination value is proportional to the numerical value of the passenger flow reference boundary value.

[0056] In one implementation scenario, the present invention extracts passenger flow reference boundary values ​​that dynamically change with ambient illuminance. A specific change trend characterizes illuminance variations caused by changes in the lighting system and / or the environment. Compared to illuminance variations caused by target group activity, this specific change trend manifests itself in the light energy detection signal as stable and regular.

[0057] When the ambient illuminance value continuously decreases from the first illuminance to the second illuminance, due to the change in the ambient illuminance value, the amount of light energy reflected decreases, and the signal value detected by its light energy detection signal will also decrease, and thus the passenger flow reference boundary value will also decrease; conversely, when the illuminance value increases, the amount of light energy reflected increases, and the signal value detected by its light energy detection signal will also increase, and thus the passenger flow reference boundary value will also increase, that is, the ambient illuminance value is proportional to the passenger flow reference boundary value. Therefore, the embodiment of the present application can first construct and store a mapping relationship between the passenger flow reference boundary value and the ambient illuminance value, and the mapping relationship can be represented by a chart or a formula. Based on the mapping relationship between the passenger flow reference boundary value and the ambient illuminance value, the changed ambient illuminance value is mapped in the mapping relationship between the passenger flow reference boundary value and the ambient illuminance value to determine and correct the passenger flow reference boundary value, and obtain the corrected passenger flow reference boundary value. The corrected passenger flow reference boundary value is used to extract the light energy detection signal.

[0058] In one embodiment, before operation 104, the method further includes: first, when it is determined that the ambient illumination value has a specific change trend, determining a target amplification factor based on the changed ambient illumination value; then, amplifying the light energy detection signal based on the target amplification factor to obtain an amplified light energy detection signal, and the amplified light energy detection signal is used to determine the passenger flow detection signal.

[0059] In another implementation scenario, the purpose of adjusting the light energy detection signal under different ambient illumination values ​​can be achieved by adjusting the amplification factor of the light energy detection signal. It should be noted that the amplification factor of the embodiment of the present application can be any value greater than 0, and further any value greater than 1.

[0060] When it is determined that the ambient illumination value has a specific changing trend, that is, when it is determined that the change in the ambient illumination value is caused by the activities of non-target groups, the embodiment of the present application can amplify the light energy detection signal so that it corresponds to a passenger flow reference boundary value of a fixed value, and can also achieve the purpose of adjusting the detection signal.

[0061] Specifically, determining the target magnification based on the changed ambient illumination value includes: first, obtaining a mapping relationship between the ambient illumination value and the corresponding magnification; then, based on the mapping relationship between the ambient illumination value and the corresponding magnification, determining the target magnification corresponding to the changed ambient illumination value; wherein the ambient illumination value is inversely proportional to the value of the magnification.

[0062] In embodiments of the present application, a mapping relationship between ambient illumination values ​​and corresponding magnification factors can be constructed and stored. This mapping relationship can be represented and stored using a chart or formula. Since the greater the ambient illumination value, the greater the reflected light intensity and the greater the waveform change, the ambient illumination value and the magnification factor are inversely proportional. Furthermore, to facilitate data processing, embodiments of the present application can extract the passenger flow detection signal by either not adjusting the light energy detection signal and correcting the passenger flow reference boundary value, or by not adjusting the passenger flow reference boundary value and amplifying the light energy detection signal.

[0063] In one possible implementation, the method further includes: determining whether the ambient illumination value has a specific change trend based on the light energy detection signal and / or the target light source corresponding to the target area.

[0064] When the control device is also connected to a lighting system, when the lighting intensity of the lighting system changes, a corresponding illuminance change signal is sent to the control device. The control device determines that the change in the ambient illuminance value belongs to a specific change trend based on the illuminance change signal.

[0065] In another scenario, the control device can also determine whether the change in ambient illuminance value falls within a specific change trend by using the illuminance change signal and the light energy detection signal from the light detection device. When the control device is not connected to the lighting system, the waveform change trend corresponding to the light energy detection signal can be used to determine whether the change in ambient illuminance value falls within a specific change trend.

[0066] Furthermore, the illumination change signal can carry a lighting intensity change value, and the control system can adjust the passenger flow reference boundary value based on the lighting intensity change value. In another scenario, after receiving the illumination change signal, the control device can read the light energy detection signal from the light detection device and re-determine the passenger flow reference boundary value based on the light energy detection signal. The passenger flow detection signal and the ambient light detection signal in the light energy detection signal can be distinguished based on the variation pattern of the light energy detection signal.

[0067] In one embodiment, before operation 104, the method further includes: first, filtering and amplifying the light energy detection signal to obtain a processed signal; then, extracting the processed signal based on the passenger flow reference boundary value to determine the passenger flow detection signal.

[0068] After the top assembly of the light detection device is completed, the light source in the target scene is stable. When the target group moves under the device, the light energy detection signal reflected from the environment into the device fluctuates. After the fluctuating signal is filtered and amplified, it can more accurately determine whether there is a target group moving in the target area.

[0069] In actual application scenarios, when the target group moves within the target area, the frequency of the light energy detection signal depends on the movement speed of the human body in the detection range. Therefore, the frequency of this signal is a low-frequency signal. This signal needs to be filtered and amplified to ensure that the processed signal is smooth and stable, and then extracted to determine the passenger flow detection signal.

[0070] Figure 4 The schematic diagram of the scene circuit of a passenger flow analysis method for a target group in an embodiment of the present application is shown. Figure 1 .

[0071] See also Figure 4 In one possible implementation manner, the light energy detection signal is filtered and amplified to obtain a processed signal, including: first, filtering and amplifying the light energy detection signal to obtain a first-level processed signal; then, amplifying and filtering the first-level processed signal to obtain a second-level processed signal.

[0072] In a specific implementation scenario, the circuit corresponding to the present method includes a power supply module 401, a light sensor 402, a filter amplifier circuit module 403, and a main control MCU 404. The power supply module is connected to the light sensor 402, the filter amplifier circuit module 403, and the main control MCU 404, respectively, and is used to supply power to the light sensor 402, the filter amplifier circuit module 403, and the main control MCU 404. The light sensor 402 is connected to the filter amplifier circuit module 403 and the main control MCU 404, and is used to acquire the optical signal and convert it into an electrical signal, which is then processed by the filter amplifier circuit module 403. The filter amplifier circuit module 403 is connected to the main control MCU 404, and is used to output the processed signal to the main control MCU 404. The main control MCU is used to perform window voltage comparison on the signal to identify the passenger flow detection signal and perform subsequent processing, such as local analysis or sending it to a higher-level control device for subsequent analysis.

[0073] Figure 5 The schematic diagram of the scene circuit of a passenger flow analysis method for a target group in an embodiment of the present application is shown. Figure 2 .

[0074] See also Figure 5 The resistance of the photoresistor RD changes with the ambient light intensity, causing the voltage across it to change. The photoresistor RD is used to convert the light signal into a voltage signal ALS_Value. The photoresistor RD and the resistor R2 form a voltage divider circuit to convert the resistance change of the photoresistor RD into a processable voltage signal, preliminarily adjust the signal amplitude, and adapt to the subsequent circuit.

[0075] The voltage signal is band-pass filtered by the operational amplifier N2B: Low frequency cutoff: fcl =1 / (2 π×R 11 ×C 3) =0.7 Hz High frequency cutoff: fch=1 / ( 2π×R13×C4 )= 12.9Hz This allows signals in the 0.7~12.9HZ range to pass through, filtering out high-frequency interference and low-frequency drift in ambient light.

[0076] The signal after bandpass filtering is amplified by the feedback resistor R13 and the input resistor R11 to obtain a first-level processed signal.

[0077] The amplification factor is determined based on the resistance values ​​of the feedback resistor R13 and the input resistor R11. For example, in one implementation scenario, u 1= R 11 / R 13=22 times.

[0078] Afterwards, the DC blocking capacitor C8 is used to block the DC bias output by the previous stage and retain the AC component. The resistor R23 is used to limit the current flowing into the subsequent stage and jointly determine the second stage amplification factor with the feedback resistor R24.

[0079] The operational amplifier N2A amplifies the first-stage processed signal through the feedback resistor R24 ​​and the resistor R23. For example, in one implementation scenario, the amplification factor is u 2= R 11 / R 13=22 times, corresponding to the total magnification: u = u 1 ×u 2=22 × 22=484 times The signal after secondary amplification passes through the low-pass filter composed of C11 and R24 in the N2A feedback network, setting the cutoff frequency: fc =1 / (2 π×R twenty four ×C 11) = 34 Hz The high-frequency noise is further filtered out, and the low-frequency signal of the light change is retained, and the secondary processing signal ALS is finally output. After two stages of amplification and filtering, the signal range of the secondary processing signal is adjusted to 0.1~3.2V, which is adapted to the ADC input range of the main control MCU, usually 0~3.3V.

[0080] In one embodiment, the passenger flow reference boundary value includes an upper passenger flow boundary threshold. Based on the ADC input range of the adaptive master MCU, the passenger flow reference boundary value may be 1.65V. Accordingly, operation 104 includes extracting the light energy detection signal that exceeds the upper passenger flow boundary threshold to determine a first passenger flow detection signal.

[0081] In this implementation scenario, in order to simplify data processing, considering that waveform fluctuations usually correspond to the upper and lower boundaries of the reference value, a waveform exceeding 1.65V can be determined as the first passenger flow detection signal.

[0082] In one embodiment, the passenger flow reference boundary value includes a passenger flow lower threshold. Because the waveform corresponding to the ambient light is not a completely straight line and still has certain fluctuations, upper and lower thresholds of the passenger flow boundary can be set to eliminate the impact of environmental fluctuations. For example, the upper and lower thresholds can be set to 1.70V and 1.60V respectively.

[0083] Correspondingly, operation 104 further includes: first, extracting the light energy detection signal exceeding the lower threshold of the passenger flow boundary to determine the second passenger flow detection signal; then, integrating the first passenger flow detection signal and the second passenger flow detection signal to obtain the passenger flow detection signal.

[0084] In this type of implementation scenario, a waveform greater than 1.70V and a waveform less than 1.60V can be taken and integrated to form a passenger flow detection signal. Furthermore, the waveform corresponding to the light energy detection signal will fluctuate between the upper passenger flow boundary threshold and the lower passenger flow boundary threshold, and the waveform will typically pass between the upper passenger flow boundary threshold and the lower passenger flow boundary threshold. In the process of determining the passenger flow detection signal, the embodiments of the present application may or may not retain this waveform segment in the passenger flow detection signal based on the subsequent specific analysis and processing methods.

[0085] In one embodiment, operation 105 includes: first, performing area analysis based on the passenger flow detection signal and the passenger flow reference boundary value to obtain an area analysis result; then, determining a target analysis result based on the signal time and area analysis result of the light energy detection signal.

[0086] The analysis method for passenger flow detection signals in the embodiment of the present application may include area analysis and time analysis. If the analysis result is related to the passenger flow ratio within a unit time, this method can be applied to analyze the passenger flow ratio within a unit time. Specifically, first determine the specific value of the unit time, such as 30 seconds, 60 seconds, etc. Correspondingly, the light energy detection signal is read once every 30 seconds, and after filtering and amplifying the light energy detection signal, the passenger flow detection signal is determined based on the passenger flow boundary threshold. By integrating the passenger flow boundary threshold and the passenger flow detection signal, a waveform and threshold enclosed graph can be formed. By determining the area of ​​the enclosed graph, it can correspond to the passenger flow ratio within a unit time. The larger the area, the more the light energy detection signal is reflected by the target group within a unit time, that is, the larger the target group passenger flow within the target area within a unit time. Based on the specific analysis method of area analysis, this method can be applied to a variety of analysis purposes.

[0087] In one embodiment, operation 105 includes: first, determining a plurality of different passenger flow detection signals corresponding to different target areas within a target scene; then, performing comparative analysis on the passenger flow detection signals to obtain passenger flow comparison information; and then, performing target analysis based on the passenger flow comparison information to obtain a target analysis result.

[0088] Since there are multiple target areas in the target scene, the embodiment of the present application can determine the analysis results of the entire target scene by horizontally comparing multiple target areas. Moreover, through multiple comparative analysis methods of single target area, multiple target areas and the entire target scene, more abundant target analysis results can be obtained.

[0089] By amplifying the signal based on ambient illumination, the passenger flow reference boundary value can be fixed, and the light energy detection signal can be amplified to a waveform that matches the fixed passenger flow reference boundary value. Furthermore, a reference area corresponding to the passenger flow reference boundary value can be determined based on prior knowledge or historical target analysis results. This reference area can then be used to determine the degree of passenger congestion.

[0090] In one possible implementation, operation 105 includes: performing a light effect analysis based on the passenger flow detection signal to determine a target light effect mode, where the target light effect mode includes a color temperature adjustment mode, an illumination adjustment mode, and / or a switching mode.

[0091] The target lighting effect mode can be determined based on the passenger flow detection signal. Specifically, when the analysis object is the target analysis result of a single target area, the color temperature and illumination of the lighting system are adjusted based on the reference area and the passenger flow congestion level.

[0092] When the analysis object is the target analysis result of multiple target areas, the relative congestion level of different areas can be determined by comparing the corresponding areas of the multiple target areas. At this time, the adjustment of the lighting system's light efficiency can play a diversion role. For example, the illumination of relatively uncrowded areas can be increased, and the color temperature of relatively uncrowded areas can be adjusted to attract the target group. At the same time, the color temperature of relatively crowded areas can be adjusted to improve the movement efficiency of the target group.

[0093] In one possible implementation, operation 105 includes: performing visual analysis based on the passenger flow detection signal, and determining a visual analysis result.

[0094] The visualization analysis results can be determined based on the passenger flow detection signal. Specifically, in a scenario where the analysis object is multiple target areas, a relative passenger flow visualization graph between the multiple target areas can be constructed by relative comparison of the multiple target areas.

[0095] Specifically, operation 105 includes: performing a thermal distribution analysis within the target scene based on the passenger flow comparison information to determine passenger flow thermal information.

[0096] In one embodiment, operation 105 includes performing habit analysis based on the passenger flow detection signal and determining a habit analysis result. After incorporating the time dimension into the target analysis result, the activity tendencies of the target group can be determined through long-term regional passenger flow tracking and multi-region comparative analysis, thereby determining the habit analysis result.

[0097] In one embodiment, operation 105 includes performing a security analysis based on the passenger flow detection signal and determining a security analysis result. By incorporating the time dimension into the target analysis result, significant changes in regional illumination can be detected promptly through long-term regional passenger flow tracking, thereby achieving a security analysis result for the target area.

[0098] In one embodiment, the method further includes: first, determining the light distribution angle corresponding to the light detection device and the target area based on the installation height and the target area; then, adjusting the range of the light distribution lens corresponding to the light detection device based on the light distribution angle to obtain a lens range parameter; wherein the lens range parameter is used to make the detection range of the light detection device correspond to the target area.

[0099] By installing a lens in the detection head of a light detection device, the lens can be used to optimize the transmission and focusing of light signals, improving the device's detection performance and response accuracy. Furthermore, by adjusting the focal length or selecting a specific lens type through light distribution design, the detection head's light sensitivity angle can be limited, making it sensitive only to light signals from a specific direction. The lens limits the detection head's angular range to within the target area, enhancing the light reflection sensitivity below the sensor and weakening it outside the target area. When a person moves below the sensor, the light sensor outputs a significant electrical signal within the target area and a signal outside the target area, effectively controlling the detection angle and range.

[0100] In one embodiment, the method further includes: first, performing weight division on the target area to obtain at least one target sub-area; then, optically designing the light distribution lens based on the target sub-area to obtain lens optical parameters; wherein the lens optical parameters are used to ensure that the signal proportion corresponding to the target sub-area with a higher weight in the light energy detection signal is not lower than the signal proportion corresponding to the target sub-area with a lower weight.

[0101] In addition to controlling the lens range parameters, the embodiments of the present application can also control the reflection intensity of the target area by designing the light distribution of the lens, thereby realizing the weight distribution of each target sub-area in the target area. Specifically, in actual application scenarios, such as supermarket scenarios, for customer flow analysis, assuming that the target area is located in the shelf aisle, the target group usually has two operations in the shelf, one is to stay at the aisle to pick up goods, and the other is to pass through the aisle. In this scenario, due to the lighting angle and light attenuation of the limited lighting system, the reflection intensity of the target group staying at the aisle to pick up goods is usually lower than the reflection intensity of the target group passing through the aisle. Based on this, the present application can realize the weight division of the target area by designing the light distribution of the lens, and by adjusting the weight, the target analysis results can be made more in line with the needs.

[0102] In summary, the application of this method can use simple hardware to complete the passenger flow activity detection and analysis of the target group. The analysis range is accurate, no complex algorithms are required, and the privacy of the target group is not affected. It meets the needs of passenger flow detection and analysis in public places.

[0103] Figure 6A schematic diagram of the module composition of a passenger flow analysis device for a target group according to an embodiment of the present application is shown.

[0104] See also Figure 6 In a second aspect of an embodiment of the present application, a passenger flow analysis device for a target group is provided, and the device includes: a determination module 601, which is used to determine a target area for the target group to move in a target scene; a detection module 602, which is used to perform light energy detection on the target area through a light detection device arranged above the target area to obtain a light energy detection signal; the determination module 601 is also used to determine a passenger flow reference boundary value based on the ambient illumination value corresponding to the target area and the installation height of the light detection device; an extraction module 603 is used to extract the light energy detection signal based on the passenger flow reference boundary value to determine the passenger flow detection signal; and an analysis module 604 is used to perform target analysis based on the passenger flow detection signal to obtain a target analysis result.

[0105] In one embodiment, the device also includes: a correction module 605, which is used to correct the passenger flow reference boundary value based on the changed ambient illumination value when it is determined that the ambient illumination value has a specific change trend, so as to obtain a corrected passenger flow reference boundary value, and the corrected passenger flow reference boundary value is used to extract the light energy detection signal; wherein the ambient illumination value is proportional to the numerical value of the passenger flow reference boundary value.

[0106] In one possible implementation mode, the determination module 601 is further used to determine the target amplification factor based on the changed ambient illumination value when it is determined that the ambient illumination value has a specific change trend; the amplification module 606 is used to amplify the light energy detection signal based on the target amplification factor to obtain an amplified light energy detection signal, and the amplified light energy detection signal is used to determine the passenger flow detection signal.

[0107] In one embodiment, the determination module 601 includes: obtaining a mapping relationship between an ambient illumination value and a corresponding magnification factor; and determining a target magnification factor corresponding to the changed ambient illumination value based on the mapping relationship between the ambient illumination value and the corresponding magnification factor; wherein the ambient illumination value is inversely proportional to the value of the magnification factor.

[0108] In one embodiment, the determination module 601 is further configured to determine an ambient illumination value based on the light energy detection signal and / or a target light source corresponding to the target area.

[0109] In one embodiment, the device further includes: a filtering module 607 for filtering and amplifying the light energy detection signal to obtain a processed signal; and an extraction module 603 for extracting the processed signal based on a passenger flow reference boundary value to determine a passenger flow detection signal.

[0110] In one embodiment, the filtering module 607 includes: performing filtering and amplifying processing on the light energy detection signal to obtain a primary processed signal; and performing amplifying and filtering processing on the primary processed signal to obtain a secondary processed signal.

[0111] In one embodiment, the passenger flow reference boundary value includes a passenger flow upper boundary threshold. Correspondingly, the extraction module 603 includes: an extraction submodule 6031, which is used to extract the light energy detection signal exceeding the passenger flow upper boundary threshold to determine the first passenger flow detection signal.

[0112] In one embodiment, the passenger flow reference boundary value includes a passenger flow lower boundary threshold. Correspondingly, the extraction module 603 also includes: an extraction submodule 6031, which is used to extract the light energy detection signal that exceeds the passenger flow lower boundary threshold to determine the second passenger flow detection signal; and an integration submodule 6032, which is used to integrate the first passenger flow detection signal and the second passenger flow detection signal to obtain a passenger flow detection signal.

[0113] In one embodiment, the analysis module 604 includes: an analysis submodule 6041, which is used to perform area analysis based on the passenger flow detection signal and the passenger flow reference boundary value to obtain an area analysis result; and a determination submodule 6042, which is used to determine the target analysis result based on the signal time and area analysis result of the light energy detection signal.

[0114] In one embodiment, the analysis module 604 includes: performing light effect analysis based on the passenger flow detection signal to determine a target light effect mode, the target light effect mode including a color temperature adjustment mode, an illumination adjustment mode and / or a switch mode; and / or performing visualization analysis based on the passenger flow detection signal to determine a visualization analysis result; and / or performing habit analysis based on the passenger flow detection signal to determine a habit analysis result; and / or performing safety analysis based on the passenger flow detection signal to determine a safety analysis result.

[0115] In one embodiment, the determination submodule 6042 is also used to determine multiple different passenger flow detection signals corresponding to different target areas within the target scene; the analysis module also includes: a comparison submodule 6043, which is used to compare and analyze the passenger flow detection signals to obtain passenger flow comparison information; and an analysis submodule 6041, which is used to perform target analysis based on the passenger flow comparison information to obtain target analysis results.

[0116] In one embodiment, the analysis submodule 6041 includes: performing thermal distribution analysis within the target scene based on the passenger flow comparison information to determine passenger flow thermal information.

[0117] In one embodiment, the determination module 601 is further used to determine the light distribution angle corresponding to the light detection device and the target area based on the installation height and the target area; the device also includes: an adjustment module 608, used to adjust the range of the light distribution lens corresponding to the light detection device based on the light distribution angle to obtain a lens range parameter; wherein the lens range parameter is used to make the detection range of the light detection device correspond to the target area.

[0118] In one embodiment, the device also includes: a division module 609, which is used to perform weighted division on the target area to obtain at least one target sub-area; a design module 610, which is used to perform optical design on the light distribution lens based on the target sub-area to obtain lens optical parameters; wherein the lens optical parameters are used to ensure that the signal proportion corresponding to the target sub-area with a higher weight in the light energy detection signal is not lower than the signal proportion corresponding to the target sub-area with a lower weight.

[0119] Figure 7 A schematic diagram of the module composition of a passenger flow analysis system for a target group according to an embodiment of the present application is shown.

[0120] See also Figure 7 In a third aspect, the present application provides a passenger flow analysis system for a target group, comprising an information control center device 710 and at least one light detection device 720; the light detection device 720 is arranged above the corresponding target area in the target scene, and comprises: a detection module 7201, for performing light energy detection on the target area to obtain a light energy detection signal; a sending module 7202, for sending the light energy detection signal to the information control center device; the information control center device 710 comprises: a determination module 7101, for determining a target area for activities of the target group; an acquisition module 7102, for obtaining a light energy detection signal from the light detection device; the determination module 7101 is also used to determine a passenger flow reference boundary value based on the ambient illumination value corresponding to the target area and the installation height of the light detection device; an extraction module 7103 is used to extract the light energy detection signal based on the passenger flow reference boundary value to determine the passenger flow detection signal; and an analysis module 7104 is used to perform target analysis based on the passenger flow detection signal to obtain a target analysis result.

[0121] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this application can be achieved. This is not a limitation herein.

[0122] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the description of this application, "plurality" means two or more, unless otherwise specifically defined.

[0123] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A passenger flow analysis method for a target group, characterized in that: The method comprises: Determining a target area for the target group to move within the target scene; Performing light energy detection on the target area by a light detection device disposed above the target area to obtain a light energy detection signal; Determining a passenger flow reference boundary value based on the ambient illumination value corresponding to the target area and the installation height of the light detection device; Extracting the light energy detection signal based on the passenger flow reference boundary value to determine a passenger flow detection signal; Target analysis is performed based on the passenger flow detection signal to obtain a target analysis result.

2. The method according to claim 1, characterized in that The method further comprises: When it is determined that the ambient illumination value has a specific change trend, the passenger flow reference boundary value is corrected based on the changed ambient illumination value to obtain a corrected passenger flow reference boundary value, and the corrected passenger flow reference boundary value is used to extract the light energy detection signal; The ambient illumination value is proportional to the passenger flow reference boundary value.

3. The method according to claim 1, characterized in that Before extracting the light energy detection signal based on the passenger flow reference boundary value, the method further includes: When it is determined that the ambient illumination value has a specific change trend, determining a target magnification based on the changed ambient illumination value; The light energy detection signal is amplified based on the target amplification factor to obtain an amplified light energy detection signal, and the amplified light energy detection signal is used to determine a passenger flow detection signal.

4. The method according to claim 3, characterized in that The determining of the target magnification based on the changed ambient illumination value includes: Obtain the mapping relationship between the ambient illumination value and the corresponding magnification; Determining a target magnification corresponding to the changed ambient illumination value based on a mapping relationship between the ambient illumination value and the corresponding magnification; The ambient illumination value is inversely proportional to the value of the magnification factor.

5. The method according to claim 2 or 3, characterized in that The method further comprises: Whether the ambient illumination value has a specific change trend is determined based on the light energy detection signal and / or the target light source corresponding to the target area.

6. The method according to claim 2 or 3, characterized in that Before extracting the light energy detection signal based on the passenger flow reference boundary value to determine the passenger flow detection signal, the method further includes: Performing filtering and amplification processing on the light energy detection signal to obtain a processed signal; The processed signal is extracted based on the passenger flow reference boundary value to determine a passenger flow detection signal.

7. The method according to claim 6, characterized in that The filtering and amplifying process of the light energy detection signal to obtain a processed signal includes: Performing filtering and amplification processing on the light energy detection signal to obtain a primary processing signal; The primary processed signal is amplified and filtered to obtain a secondary processed signal.

8. The method according to claim 2 or 3, characterized in that The passenger flow reference boundary value includes a passenger flow upper boundary threshold. Correspondingly, extracting the light energy detection signal based on the passenger flow reference boundary value to determine the passenger flow detection signal includes: The light energy detection signal exceeding the threshold on the passenger flow boundary is extracted to determine a first passenger flow detection signal.

9. The method according to claim 8, characterized in that The passenger flow reference boundary value includes a passenger flow lower boundary threshold. Correspondingly, extracting the light energy detection signal based on the passenger flow reference boundary value to determine the passenger flow detection signal further includes: extracting the light energy detection signal exceeding the passenger flow boundary lower threshold to determine a second passenger flow detection signal; The first passenger flow detection signal and the second passenger flow detection signal are integrated to obtain the passenger flow detection signal.

10. The method according to claim 1, characterized in that The performing target analysis based on the passenger flow detection signal to obtain a target analysis result includes: Performing area analysis based on the passenger flow detection signal and the passenger flow reference boundary value to obtain an area analysis result; A target analysis result is determined based on the signal time and area analysis results of the light energy detection signal.

11. The method according to claim 1, characterized in that The performing target analysis based on the passenger flow detection signal to obtain a target analysis result includes: Performing a light effect analysis based on the passenger flow detection signal to determine a target light effect mode, wherein the target light effect mode includes a color temperature adjustment mode, an illumination adjustment mode, and / or a switching mode; and / or, performing visual analysis based on the passenger flow detection signal to determine a visual analysis result; and / or, performing habit analysis based on the passenger flow detection signal to determine a habit analysis result; And / or, performing a security analysis based on the passenger flow detection signal to determine a security analysis result.

12. The method according to claim 1, characterized in that The performing target analysis based on the passenger flow detection signal to obtain a target analysis result includes: Determining, within the target scene, a plurality of different passenger flow detection signals corresponding to different target areas; Comparing and analyzing the passenger flow detection signals to obtain passenger flow comparison information; Target analysis is performed based on the passenger flow comparison information to obtain a target analysis result.

13. The method according to claim 12, characterized in that The target analysis is performed based on the passenger flow comparison information to obtain a target analysis result, including: Based on the passenger flow comparison information, a thermal distribution analysis is performed within the target scene to determine passenger flow thermal information.

14. The method according to claim 1, wherein The method further comprises: determining a light distribution angle corresponding to the light detection device and the target area based on the installation height and the target area; Adjusting the range of the light distribution lens corresponding to the light detection device based on the light distribution angle to obtain a lens range parameter; The lens range parameter is used to make the detection range of the light detection device correspond to the target area.

15. The method according to claim 14, characterized in that The method further comprises: Performing weight division on the target area to obtain at least one target sub-area; Performing optical design on the light distribution lens based on the target sub-region to obtain lens optical parameters; The lens optical parameters are used to ensure that the proportion of the signal corresponding to the target sub-region with a higher weight in the light energy detection signal is not lower than the proportion of the signal corresponding to the target sub-region with a lower weight.

16. A passenger flow analysis device for a target group, characterized in that: The device comprises: A determination module, configured to determine a target area for the target group to move within a target scene; a detection module, configured to detect light energy of the target area through a light detection device disposed above the target area to obtain a light energy detection signal; The determination module is further configured to determine a passenger flow reference boundary value based on an ambient illumination value corresponding to the target area and an installation height of the light detection device; an extraction module, configured to extract the light energy detection signal based on the passenger flow reference boundary value to determine a passenger flow detection signal; The analysis module is used to perform target analysis based on the passenger flow detection signal to obtain a target analysis result.

17. A passenger flow analysis system for a target group, characterized in that: including information control center equipment and at least one light detection device; The light detection device is arranged above the corresponding target area in the target scene and includes: A detection module, configured to perform light energy detection on the target area to obtain a light energy detection signal; A sending module, used for sending the light energy detection signal to the information control center device; The information control center equipment includes: A determination module, configured to determine a target area for the target group to move around; an acquisition module, configured to acquire a light energy detection signal from the light detection device; The determination module is further configured to determine a passenger flow reference boundary value based on an ambient illumination value corresponding to the target area and an installation height of the light detection device; an extraction module, configured to extract the light energy detection signal based on the passenger flow reference boundary value to determine a passenger flow detection signal; The analysis module is used to perform target analysis based on the passenger flow detection signal to obtain a target analysis result.

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