Low-power-consumption parking management method and device

Abstract

The embodiment of the invention discloses a low-power-consumption parking management method, the method is applied to parking image acquisition equipment, and the method comprises the following steps: periodically acquiring images of a parking area according to a first time interval, and storing the acquired images; periodically performing parking judgment operation according to a second time interval; wherein each parking judgment operation comprises the following steps: judging whether parking information change occurs in the parking area in a latest second time interval according to a starting image and an ending image in the latest second time interval; the duration of the second time interval is greater than that of the first time interval; if it is judged that the parking information of the parking area changes, a target image is sent to a target subject, so that the target subject determines a parking management result according to the target image; wherein the target image is a preset number of images before the ending image or an image within a preset time period before the ending image.

Description

Technical Field

[0001] The present application relates to the technical field of parking management, and in particular to a low-power consumption parking management method and device. Background Art

[0002] In the existing parking fee charging technology, a camera is used to collect parking images of vehicles. Each time an image is collected, the image is transmitted to a server, and the server performs functions such as vehicle identification and fee charging.

[0003] Since each image needs to be transmitted to the server for recognition, the camera consumes more power on the one hand, and the bandwidth, storage, and computing load requirements of the server are also very high on the other hand. In addition, since many cameras use 4G, 5G and other methods to transmit images, the fees required are also higher.

[0004] In particular, solar power supply technology is increasingly being used in the field of parking technology, and more and more cameras are being used without wiring, and no longer use the mains power supply, which results in a limited amount of power available to the camera. Since the above parking metering technology consumes a lot of power, it is particularly difficult to apply the above parking metering technology to cameras that are not powered by the mains or do not require wiring. Summary of the invention

[0005] The embodiments of this specification provide a low-power parking management method and device to solve the technical problem of reducing the power consumption of parking management.

[0006] To solve the above technical problems, the embodiments of this specification adopt the following technical solutions:

[0007] The embodiment of this specification provides a low-power consumption parking management method, which is applied to a parking image acquisition device, and includes:

[0008] periodically acquiring images of the parking area at a first time interval, and storing the acquired images;

[0009] The parking determination operation is performed periodically at a second time interval; wherein each parking determination operation includes: determining whether parking information of the parking area changes within the latest second time interval according to the start image and the end image within the latest second time interval; the duration of the second time interval is greater than the duration of the first time interval;

[0010] If it is determined that parking information of the parking area has changed, the target image is sent to the target subject so that the target subject determines the parking management result according to the target image; wherein the target image is a preset number of images from the end image or an image within a preset time period from the end image.

[0011] Optionally, judging whether parking information of the parking area changes within the latest second time interval according to the starting image and the ending image within the latest second time interval includes:

[0012] A parking feature comparison is performed based on the start image and the end image in the latest second time interval to determine whether parking information of the parking area changes in the latest second time interval.

[0013] Optionally, performing parking feature comparison based on the latest start image and end image in the second time interval includes:

[0014] The parking features of the start image and the end image within the latest second time interval are extracted, and the parking features of the start image and the end image are compared.

[0015] Optionally, sending the target image to the target subject includes:

[0016] Compress the target image and send the compressed result to the target subject.

[0017] Optionally, the number of the target images is determined according to the time required for a vehicle to enter or exit a parking area or a parking space.

[0018] Optionally, the duration of the first time interval and / or the second time interval is not greater than the time required for a vehicle to enter or exit a parking area or parking space;

[0019] and / or,

[0020] The time length covered by the target image is not less than the time required for the vehicle to enter or exit the parking area or parking space;

[0021] and / or,

[0022] The time required for a vehicle to enter and exit a parking area or parking space refers to the average time it takes for a vehicle to enter and exit a parking area or parking space.

[0023] Optionally, the target images are all images acquired within the latest second time interval;

[0024] and / or,

[0025] The starting image within the latest second time interval is the first image acquired within the latest second time interval;

[0026] and / or,

[0027] The end image in the latest second time interval is the last image acquired in the latest second time interval.

[0028] Optionally, the change in parking information of the parking area includes: a vehicle enters or leaves the parking area.

[0029] and / or,

[0030] The parking management result includes vehicle information entering and exiting the parking area and / or parking time information and / or parking fee information and / or parking area occupancy status.

[0031] Optionally, the parking image acquisition device includes a solar power supply module.

[0032] The embodiment of this specification provides a low-power consumption parking management device, the device comprising:

[0033] An image acquisition module, used for periodically acquiring images of the parking area at a first time interval and storing the acquired images;

[0034] A parking determination module is used to periodically perform parking determination operations according to a second time interval; wherein each parking determination operation includes: determining whether parking information of the parking area changes within the latest second time interval according to a start image and an end image within the latest second time interval; and the duration of the second time interval is greater than the duration of the first time interval;

[0035] And, if it is determined that parking information changes occur in the parking area, the target image is sent to the target subject so that the target subject determines the parking management result according to the target image; wherein the target image is a preset number of images from the end image or an image within a preset time period from the end image.

[0036] At least one of the above technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects:

[0037] The parking image acquisition device first performs a parking judgment operation, and only sends the target image to the target subject when it determines that the parking information has changed. This can effectively reduce the number of images that need to be sent to the target subject, thereby reducing the parking management power consumption including the parking image acquisition device power consumption and the target subject power consumption.

[0038] The parking judgment operation cycle of the parking image acquisition device is longer than the image acquisition cycle. Each parking judgment operation also judges whether the parking information has changed based on the starting image and the ending image in the latest cycle. Therefore, there is no need to judge each image, which can effectively reduce the number of images that need to be parked. The judgment operation can reduce management power consumption.

[0039] Compared with existing solutions that require continuous video acquisition, such as conventional 25fps video acquisition solutions, the use of the first time interval to acquire images can significantly reduce the power consumption of parking image acquisition equipment, and the power consumption reduction can reach more than 90%. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the drawings required for use in the embodiments of this specification or the prior art description are briefly described below. Obviously, the following only describes the drawings required for use in some embodiments of this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor.

[0041] Figure 1 It is a flowchart of the low-power parking management method in the first embodiment of this specification.

[0042] Figure 2 It is a structural diagram of a low-power parking management device in the second embodiment of this specification. DETAILED DESCRIPTION

[0043] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments involved in the specific implementation methods are only part of the embodiments of this application, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the specific implementation methods without making creative work should belong to the scope of protection of this application.

[0044] The first embodiment of this specification (hereinafter referred to as “embodiment one”) provides a low-power consumption parking management method, which is applied to a parking image acquisition device.

[0045] like Figure 1 As shown, the low-power parking management method provided in the first embodiment includes:

[0046] S101: periodically acquiring images of a parking area at a first time interval, and storing the acquired images;

[0047] In the first embodiment, the image of the parking area may be acquired periodically, for example, at a first time interval, the image of the parking area may be acquired once every first time interval.

[0048] Exemplarily, the parking image acquisition device may include an image acquisition module (e.g., a camera) and a storage module, wherein the image acquisition module is used to periodically acquire images of the parking area, and the acquired images of the parking area may be stored in the storage module. The parking area generally refers to an area available for parking, which may include one or more parking spaces, regardless of whether the parking spaces are marked or not.

[0049] S103: performing a parking determination operation periodically at a second time interval; wherein each parking determination operation includes: determining whether parking information of the parking area changes within the latest second time interval according to a start image and an end image within the latest second time interval; and the duration of the second time interval is greater than the duration of the first time interval;

[0050] In the first embodiment, the parking determination operation may be performed periodically, for example, at the second time interval, the parking determination operation is performed once every second time interval. That is, after each second time interval, the parking determination operation is performed for the latest second time interval.

[0051] Each parking judgment operation may include: judging whether the parking information of the parking area has changed in the latest second time interval according to the starting image and the ending image in the latest second time interval (it may be specific to a certain parking space in the parking area, that is, it may be judged whether the parking information of a single parking space has changed. The parking information of a single parking space in the parking area has changed, which is equivalent to the parking information of the parking area having changed). The starting image in the latest second time interval is the first image acquired in the latest second time interval; and / or the ending image in the latest second time interval is the last image acquired in the latest second time interval.

[0052] In particular, the starting image in a single second time interval may be an image acquired at the starting time point of the second time interval, and the ending image in a single second time interval may be an image acquired at the ending time point of the second time interval. For two adjacent second time intervals, the ending time point of the previous second time interval is the starting time point of the next second time interval, so the ending image in the previous second time interval may be the starting image in the next second time interval.

[0053] In the first embodiment, the second time interval is longer than the first time interval. For example, the first time interval is 5 seconds, that is, the image of the parking area is acquired every 5 seconds. The second time interval is 5 minutes, that is, the parking determination operation is performed every 5 minutes.

[0054] For example, if a parking judgment operation is performed at 12:05, then it is determined whether the parking information of the parking area has changed from 12:05 to 12:05 based on the starting image and the ending image between 12:05 and 12:05. Among them, the starting image between 12:05 and 12:05 is the first image obtained between 12:05 and 12:05, and the ending image between 12:05 and 12:05 is the last image obtained between 12:05 and 12:05. Similarly, if a parking judgment operation is continued at 12:10, then it is determined whether the parking information of the parking area has changed from 12:05 to 12:10 based on the starting image and the ending image between 12:05 and 12:10. Among them, the starting image between 12:05 and 12:10 is the first image obtained between 12:05 and 12:10, and the ending image between 12:05 and 12:10 is the last image obtained between 12:05 and 12:10.

[0055] Generally, the duration of the first time interval and / or the second time interval is not longer than the time required for a vehicle to enter or exit a parking area or a parking space. Specifically, the average time for a vehicle to enter or exit a parking area or a parking space within the parking area can be statistically calculated, and the average time can be used as the time required for a vehicle to enter or exit a parking area or a parking space.

[0056] In the first embodiment, judging whether parking information of the parking area has changed within the latest second time interval based on the starting image and the ending image within the latest second time interval may include: comparing parking features based on the starting image and the ending image within the latest second time interval to judge whether parking information of the parking area has changed within the latest second time interval.

[0057] The comparison of parking features based on the latest start image and end image in the second time interval may include: extracting the parking features of the latest start image and end image in the second time interval, and comparing the parking features of the start image and the end image. A suitable feature extraction algorithm, image recognition algorithm, image detection algorithm or other means may be selected to extract features, which is not limited to the first embodiment.

[0058] Specifically, parking characteristics include but are not limited to whether there is a vehicle in the parking area and / or the characteristics of the vehicle in the parking area, and the characteristics of the vehicle include but are not limited to the width / height / length / color / license plate number of the vehicle. Accordingly, parking information changes include but are not limited to a vehicle entering or leaving the parking area (or a single parking space in the parking area), or a change from a vehicle to no vehicle or from no vehicle to a vehicle, or a change in the parked vehicle. In addition, for a parking area or a single parking space in the parking area, the condition of whether there is a vehicle or no vehicle can be set as needed, for example, a vehicle is counted as having a vehicle if it completely or mostly enters the parking area or a single parking space, or a vehicle is counted as having no vehicle if it completely or mostly leaves the parking area or a single parking space.

[0059] For example, a parking determination operation is performed at 12:05, and if the parking characteristics of the starting image between 12:05 and 12:05 indicate that a vehicle is parked in a parking space in the parking area, and the parking characteristics of the ending image between 12:05 and 12:05 indicate that no vehicle is parked in the parking space in the parking area, then it is determined that a parking information change occurs between 12:05 and 12:05. Alternatively, a parking determination operation is performed at 12:10, and if the parking characteristics of the starting image between 12:05 and 12:10 indicate that no vehicle is parked in the parking area, and the parking characteristics of the ending image between 12:05 and 12:10 indicate that a vehicle is parked in the parking area, then it is determined that a parking information change occurs between 12:05 and 12:10. Alternatively, a parking judgment operation is performed at 12:15. If the vehicle characteristics of a vehicle parked in a parking space in the parking area represented by the parking characteristics of the starting image between 12:10 and 12:15 are different from the vehicle characteristics of the vehicle parked in the parking space in the parking area represented by the ending image between 12:10 and 12:15, then it is judged that a parking information change occurs between 12:10 and 12:15 (i.e., a vehicle change occurs).

[0060] Exemplarily, the parking image acquisition device may have a processor module, and the processor module periodically performs parking determination operations according to the second time interval. The image acquisition module may transmit the starting image and the ending image in each second time interval to the processor module, or the processor module may obtain the starting image and the ending image in each second time interval from the storage module. Embodiment 1 does not limit how to obtain the starting image and the ending image. In addition, each image may correspond to time information (the time information corresponding to the image may be the shooting or acquisition time of the image), and the order of each image may be determined according to the time information, so as to determine the starting image and the ending image in each second time interval according to the time information.

[0061] S105: If it is determined that parking information of the parking area has changed, the target image is sent to the target subject, so that the target subject determines the parking management result according to the target image; wherein the target image is a preset number of images from the end image or an image within a preset time period from the end image.

[0062] In the first embodiment, for any parking judgment operation, if the parking information of the parking area is judged to have changed through the parking judgment operation, the target image can be sent to the target subject, so that the target subject determines the parking management result according to the target image. The target image is the images of the first preset number of images from the end image (i.e., the end image in the second time interval for the parking judgment) or the images within the first preset time period from the end image. It can be seen that the target image can be multiple images.

[0063] For example, if the preset number is n, the target image can be the n-1 images before the ending image and the ending image itself; or, if the preset time period is t, the target image can be the images acquired within the time period t forward from the time corresponding to the ending image, including the ending image itself.

[0064] For example, assuming that the second time interval is 5 minutes, if the result of the parking judgment operation performed at 12:20 is that the vehicle information in the parking area changes, the target image can be sent to the target subject. The target image is the images of the first preset number of images from the end image (i.e., the end image in the second time interval from 12:15 to 12:20 for this parking judgment) or the images in the first preset time period from the end image.

[0065] The specific number of target images can be determined as needed, for example, based on the time required for a vehicle to enter and exit a parking area or a parking space. Specifically, the average time for a vehicle to enter and exit a parking area or a parking space within a parking area can be statistically calculated, and the number of target images can be determined based on the average time. If the target image is the first n images from the end image, the time interval between the first and last images of the n images should not be less than the average time; or if the target image is an image within a preset time period before the end image, the preset time period should not be less than the average time. In short, the length of time covered by the target image (i.e., the time interval between the first and last images of the target image) should not be less than the time required for a vehicle to enter and exit a parking area or a parking space.

[0066] In particular, the time length covered by the target image may be not less than the second time interval. In addition, when the first time interval and the second time interval are determined, the number of images that can be acquired in the second time interval is also determined, and the target image may specifically be all images acquired in the latest second time interval (generally, all images acquired by the camera corresponding to the parking area or parking space where the parking information has changed in the latest first time interval). In other words, the above-mentioned preset time period may be the second time interval.

[0067] The target subject can determine the parking management result based on the target image, and the parking management result includes but is not limited to the vehicle information entering and exiting the parking area or parking space and / or the parking time information and / or the parking fee information and / or the parking area occupancy information (the parking area occupancy information is used to display to the user). Among them, the target subject can be a server or other subject with certain data processing capabilities. The target subject can use a suitable algorithm to identify or detect the target image to determine the parking management result, which is not limited to the first embodiment.

[0068] In the first embodiment, sending the target image to the target subject may include: compressing the target image, and sending the compression result (for example, compressing the target image into a data packet, and the compression result is the data packet) to the target subject. Correspondingly, the target subject may decompress the target image, and then determine the parking management result according to the target image.

[0069] In addition, images whose storage time (i.e., from storage to date) reaches or exceeds the preset time length can be deleted, thereby saving the storage space of the parking image acquisition device. Alternatively, the images whose storage time reaches or exceeds the preset time length in the latest third time interval can be sent to other entities (such as other storage devices) at every third time interval, and the images stored by the parking image acquisition device and sent to other entities are deleted. The third time interval can be longer than the second time interval. In this way, the storage space of the parking image acquisition device can be saved while retaining the acquired images.

[0070] Exemplarily, the parking image acquisition device may have a data transmission module, and the processor module may determine the target image from the images stored in the storage module, and send the target image to the target subject through the data transmission module.

[0071] Exemplarily, the parking image acquisition device may have a power supply module for supplying power to the above modules and other modules. The power supply module may include one or more batteries, and the power supply module may be a solar power supply module, which is powered by solar energy, or may be powered by mains electricity or other suitable power supply methods. The modules may be connected in a suitable manner to achieve data transmission or power supply between them, which is not limited to the first embodiment.

[0072] In addition, the parking image acquisition device may also have a video acquisition function, or the above-mentioned images may be frames of images obtained by framing the acquired video (for example, video framing is performed every first time interval, which is also a way of periodically acquiring images).

[0073] In addition, the parking image acquisition device may have multiple image acquisition modules (e.g., multiple cameras), each of which acquires images for one or more parking areas or parking spaces. For any image acquisition module, the above contents are executed based on the images acquired by the image acquisition module, and the parking management result of the parking area or parking space targeted by the image acquisition module can be determined as above.

[0074] The first embodiment is further described below by way of examples:

[0075] In this example, an image of a parking area is acquired every 5 seconds and the acquired image is stored.

[0076] The parking judgment operation is performed every 5 minutes. If the parking information of the parking area is judged to have changed during the parking judgment operation performed at 12:30, the target image is sent to the server. The target image is the first n images from the last image between 12:25 and 12:30, and the time interval between the first and last images of these n images is not less than the average parking time; or the target image is the image within the preset time period before the last image between 12:25 and 12:30, and the preset time period is not less than the average parking time.

[0077] When it is determined that the parking information of the parking area has changed, it means that a vehicle has entered or left the parking area within the latest second time interval, and corresponding parking management needs to be performed. The time length covered by the target image transmitted to the server is not less than the average parking time, and may not be less than the second time interval, so the content contained in the target image can already cover the process of the vehicle entering or leaving the parking area. In this way, the server can identify the process of the vehicle entering or leaving the parking area based on the target image, thereby determining the corresponding parking management results, including but not limited to the vehicle information entering and leaving the parking area, the time information of entering or leaving the parking area, the parking fee start information (for example, when a vehicle enters), the parking fee end information (for example, when a vehicle leaves), and the parking fee settlement information (for example, when a vehicle enters or leaves).

[0078] Case 1: For a certain vehicle, if the vehicle enters a parking space in the parking area within a second time interval, the above process can determine that the parking information changes within the second time interval, so as to send a target image to the server, and the server determines the vehicle management result corresponding to the vehicle, including but not limited to the vehicle information (such as license plate information), the time information of the vehicle entering the parking space in the parking area (the time information of the vehicle entering the parking space can be determined according to the time information corresponding to each target image, for example, if a target image shows that the vehicle enters the parking space, the shooting time of the target image can be used as the time when the vehicle enters the parking space; or the vehicle trajectory is tracked by each target image to determine the time when the vehicle enters the parking space), and parking metering or charging is started according to the parking time (some fixed-fee parking areas can charge when the vehicle enters).

[0079] Case 2: If the vehicle leaves the parking space in the parking area within another second time interval, the above process can determine that the parking information has changed within the second time interval, so that the target image is sent to the server again, and the server determines the vehicle management result corresponding to the vehicle, including but not limited to the vehicle information (such as license plate information), the time information of the vehicle leaving the parking space in the parking area (the time information of the vehicle leaving the parking space can be determined based on the time information corresponding to each target image, for example, if a target image shows that the vehicle leaves the parking space, the shooting time of the target image can be used as the time when the vehicle leaves the parking space; or the vehicle trajectory is tracked by each target image to determine the time when the vehicle leaves the parking space), and the parking fee is settled.

[0080] If a parking space has a change in parked vehicles within a second time interval, that is, an original vehicle leaves and a new vehicle enters a single parking area or parking space, it is determined that a parking information change has occurred within the second time interval. The parking management results of the leaving vehicle and the parking management results of the new entering vehicle can be determined respectively in the above two situations through the target image.

[0081] Embodiment 1 can achieve the following beneficial effects:

[0082] The parking image acquisition device first performs a low-load parking judgment operation, and only sends the target image to the target subject to determine the parking management result when it determines that the parking information has changed. The parking image acquisition device and the target subject do not need to identify or detect each image acquired by the parking image acquisition device, and can effectively reduce the number of images that need to be sent to the target subject, the frequency of image transmission, and the power consumption of image transmission, and can reduce the amount of received data of the target subject as well as the bandwidth, storage and computing load, thereby reducing the power consumption of parking management including the power consumption of the parking image acquisition device and the power consumption of the target subject, and improving the energy efficiency of parking management. In the case where the parking image acquisition device adopts wireless transmission, the wireless transmission fee can also be effectively reduced.

[0083] Moreover, the parking judgment operation cycle of the parking image acquisition device is greater than the image acquisition cycle. Each parking judgment is also based on the starting image and the ending image in the latest cycle to determine whether the parking information has changed. Therefore, there is no need to judge each image, which can effectively reduce the number of images that need to be operated on for parking judgment and further reduce the power consumption of parking judgment operations.

[0084] Since the second time interval is no longer than the time required for a vehicle to enter or exit a parking area or parking space, each vehicle entering or exiting a parking area or parking space can be detected through the parking judgment operation, and the situation of a single vehicle entering or exiting a parking area or parking space will not be missed, thereby ensuring the accuracy and comprehensiveness of the parking judgment. Since the first time interval is smaller, the association between the target images is closer, which is conducive to more accurate tracking of the process of vehicles entering or exiting a parking area or parking space.

[0085] Since the time length covered by the target image is not less than the time required for the vehicle to enter and exit the parking area or parking space, even if the number of images that need to be identified or detected is reduced, the target image can still fully reproduce or track the process of the vehicle entering and exiting the parking area or parking space, and then accurately determine the parking management results, ensuring the accuracy and comprehensiveness of parking management. In particular, even if the vehicle is parked in the parking space and its license plate is blocked by other objects, the target image can still fully reproduce or track the dynamic parking process of the vehicle entering and exiting the parking area or parking space, so the target image can still identify the vehicle's license plate information and other features through the dynamic parking process, thereby improving the accuracy and comprehensiveness of parking management.

[0086] Compared with existing parking fee charging solutions that require continuous video acquisition, such as conventional 25fps video acquisition solutions, the first embodiment uses periodic image acquisition at a first time interval to significantly reduce the power consumption of parking image acquisition equipment, with the power consumption reduction reaching more than 90%.

[0087] Images that have been stored for a period of time that reaches or exceeds a preset period of time are sent to other entities at third time intervals, and the images that have been sent to other entities are deleted. This can save storage space and reduce the frequency of sending images to other entities, thereby further reducing the power consumption of the parking image acquisition device.

[0088] By compressing the transmission, the number of transmissions can be minimized, the data transmission time can be reduced, the power consumption can be reduced, and the bandwidth, storage, load, etc. of the subject can be reduced.

[0089] like Figure 2 As shown, the second embodiment of this specification provides a low-power parking management device corresponding to the method described in the first embodiment, and the device includes:

[0090] An image acquisition module 202, configured to periodically acquire images of the parking area at a first time interval and store the acquired images;

[0091] The parking determination module 204 is configured to periodically perform a parking determination operation at a second time interval; wherein each parking determination operation includes: determining whether parking information of the parking area changes within the latest second time interval according to a start image and an end image within the latest second time interval; and the duration of the second time interval is greater than the duration of the first time interval;

[0092] And, if it is determined that parking information changes occur in the parking area, the target image is sent to the target subject so that the target subject determines the parking management result according to the target image; wherein the target image is a preset number of images from the end image or an image within a preset time period from the end image.

[0093] Optionally, judging whether parking information of the parking area changes within the latest second time interval according to the starting image and the ending image within the latest second time interval includes:

[0094] A parking feature comparison is performed based on the start image and the end image in the latest second time interval to determine whether parking information of the parking area changes in the latest second time interval.

[0095] Optionally, performing parking feature comparison based on the latest start image and end image in the second time interval includes:

[0096] The parking features of the start image and the end image within the latest second time interval are extracted, and the parking features of the start image and the end image are compared.

[0097] Optionally, sending the target image to the target subject includes:

[0098] Compress the target image and send the compressed result to the target subject.

[0099] Optionally, the number of the target images is determined according to the time required for a vehicle to enter or exit a parking area or a parking space.

[0100] Optionally, the duration of the first time interval and / or the second time interval is not greater than the time required for a vehicle to enter or exit a parking area or parking space;

[0101] and / or,

[0102] The time length covered by the target image is not less than the time required for the vehicle to enter or exit the parking area or parking space;

[0103] and / or,

[0104] The time required for a vehicle to enter and exit a parking area or parking space refers to the average time it takes for a vehicle to enter and exit a parking area or parking space.

[0105] Optionally, the target images are all images acquired within the latest second time interval;

[0106] and / or,

[0107] The starting image within the latest second time interval is the first image acquired within the latest second time interval;

[0108] and / or,

[0109] The end image in the latest second time interval is the last image acquired in the latest second time interval.

[0110] Optionally, the change in parking information of the parking area includes: a vehicle enters or leaves the parking area.

[0111] and / or,

[0112] The parking management result includes vehicle information entering and exiting the parking area and / or parking time information and / or parking fee information and / or parking area occupancy status.

[0113] Optionally, the parking image acquisition device includes a solar power supply module.

[0114] The second embodiment can achieve the same technical effect as the first embodiment, and the embodiments can be used in combination.

[0115] The above is only an embodiment of this specification and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A low-power parking management method, characterized in that: The method is applied to a parking image acquisition device, and the method comprises: periodically acquiring images of the parking area at a first time interval, and storing the acquired images; The parking determination operation is performed periodically at a second time interval; wherein each parking determination operation includes: determining whether parking information of the parking area changes within the latest second time interval according to the start image and the end image within the latest second time interval; the duration of the second time interval is greater than the duration of the first time interval; If it is determined that parking information of the parking area has changed, the target image is sent to the target subject so that the target subject determines the parking management result according to the target image; wherein the target image is a preset number of images from the end image or an image within a preset time period from the end image.

2. The method according to claim 1, characterized in that Judging whether parking information of the parking area changes within the latest second time interval according to the latest start image and the end image within the latest second time interval includes: A parking feature comparison is performed based on the start image and the end image in the latest second time interval to determine whether parking information of the parking area changes in the latest second time interval.

3. The method according to claim 2, characterized in that According to the start image and the end image in the latest second time interval, parking feature comparison is performed, including: The parking features of the start image and the end image within the latest second time interval are extracted, and the parking features of the start image and the end image are compared.

4. The method according to claim 1, characterized in that Sending a target image to a target subject involves: Compress the target image and send the compressed result to the target subject.

5. The method according to claim 1, characterized in that The number of the target images is determined according to the time required for the vehicle to enter or exit the parking area or parking space.

6. The method according to claim 1 or 5, characterized in that The duration of the first time interval and / or the second time interval is no longer than the time required for the vehicle to enter or exit the parking area or parking space; and / or, The time length covered by the target image is not less than the time required for the vehicle to enter or exit the parking area or parking space; and / or, The time required for a vehicle to enter and exit a parking area or parking space refers to the average time it takes for a vehicle to enter and exit a parking area or parking space.

7. The method according to claim 1, characterized in that The target images are all images acquired within the latest second time interval; and / or, The starting image within the latest second time interval is the first image acquired within the latest second time interval; and / or, The end image in the latest second time interval is the last image acquired in the latest second time interval.

8. The method according to claim 1, characterized in that The parking information change of the parking area includes: a vehicle enters or leaves the parking area. and / or, The parking management result includes vehicle information entering and exiting the parking area and / or parking time information and / or parking fee information and / or parking area occupancy information.

9. The method according to claim 1, characterized in that The parking image acquisition device includes a solar power supply module.

10. A low-power parking management device, characterized in that: The device comprises: An image acquisition module, used for periodically acquiring images of the parking area at a first time interval and storing the acquired images; A parking determination module is used to periodically perform parking determination operations according to a second time interval; wherein each parking determination operation includes: determining whether parking information of the parking area changes within the latest second time interval according to a start image and an end image within the latest second time interval; and the duration of the second time interval is greater than the duration of the first time interval; And, if it is determined that parking information changes occur in the parking area, the target image is sent to the target subject so that the target subject determines the parking management result according to the target image; wherein the target image is a preset number of images from the end image or an image within a preset time period from the end image.

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