CN113316295A - Intelligent street lamp control system based on computer vision - Google Patents
Intelligent street lamp control system based on computer vision Download PDFInfo
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V21/00—Supporting, suspending, or attaching arrangements for lighting devices; Hand grips
- F21V21/14—Adjustable mountings
- F21V21/15—Adjustable mountings specially adapted for power operation, e.g. by remote control
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
- H05B47/125—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings by using cameras
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/175—Controlling the light source by remote control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21W—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21S and F21V, RELATING TO USES OR APPLICATIONS OF LIGHTING DEVICES OR SYSTEMS
- F21W2131/00—Use or application of lighting devices or systems not provided for in codes F21W2102/00-F21W2121/00
- F21W2131/10—Outdoor lighting
- F21W2131/103—Outdoor lighting of streets or roads
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses an intelligent street lamp control system based on computer vision, which comprises a first control system used in an intelligent street lamp, a second control system used in a cloud server, a third control system used in a local server and a fourth control system used in mobile equipment, wherein the first control system, the second control system, the third control system and the fourth control system are matched with each other, single or a plurality of pieces of pedestrian and vehicle information in a road around the street lamp are obtained through calculation, and the lighting condition of the intelligent street lamp is controlled according to the pedestrian and vehicle information.
Description
Technical Field
The invention relates to the field of computer vision, in particular to an intelligent street lamp control system based on computer vision.
Background
As the development of various large cities is faster and faster, the fixed street lamps cannot effectively meet the accurate and comprehensive illumination requirements of people and vehicles on illumination, and the illumination of a large area for a long time causes very serious resource waste, so that the brightness of the street lamps cannot be used to an effective place in real time, and the traditional illumination system cannot meet the requirements of people.
Domestic intelligent street lamps are still in the starting stage, mostly take the sound control lamp and the traditional fixed time lighting method as the main thing, lack flexibility and practicality. The street lamp is single in type and can only meet basic lighting requirements. At present, the existing street lamps of various types in the market mainly have the following defects:
1. in some underdeveloped areas, the street lamp lighting mode is also based on the traditional mode of lighting one by one, and workers need to manually control the on/off of the street lamps for management. However, the management flexibility is very low, the workload of workers is very large, and if too many lines are available, the emergency situation which is about to come can not be handled in time.
2. In some areas, the method of manually controlling the street lamps by staff is changed into the method of using a clock, and the working time of the street lamps is controlled by setting a fixed time range, so that the method really reduces some workload, but the flexibility of the season and the date of the work becomes very low.
3. In most areas, workers can install detectors on the street lamps to complete on-off control or timing control on-off of the street lamps, working modes can be set in advance, meanwhile, on-off and fault detection of the street lamps can be completed, and compared with the former two methods, the method improves efficiency to a certain extent. Detectors, however, are not only expensive, but also do not provide real-time tracking lighting for people and vehicles.
Disclosure of Invention
The invention aims to provide an intelligent street lamp based on computer vision and a method thereof, which are researched and developed aiming at the defects of the practicability of the existing intelligent street lamp. The practicability is strong, the operation is easy, the real-time update is convenient, and the resources are greatly saved.
In order to achieve the above object, the present invention provides an intelligent street lamp control system based on computer vision, the control system is used in an intelligent street lamp, and comprises:
the illumination control module is used for controlling the illumination light source to provide illumination work for pedestrians and vehicles;
the image acquisition unit is used for acquiring a first image of a pedestrian;
the vehicle detection unit is used for acquiring a second image of the vehicle and obtaining the number of the vehicles according to the second image;
the sensor module is used for acquiring the illumination intensity of the illumination light source;
the first control unit is electrically connected with the illumination control module, the image acquisition unit, the vehicle detection unit and the sensor module respectively;
the first data storage unit is connected with the first control unit and used for storing the first image, the second image, the number of vehicles and the illumination intensity;
and the first communication unit is connected with the first control unit.
Preferably, the lighting control module comprises at least a lighting device control unit, a lighting direction control unit;
the lighting equipment control unit is used for controlling the lighting light source to perform lighting work;
the illumination direction control unit is used for controlling the illumination direction of the illumination light source;
the lighting direction control unit at least comprises a direction control holder, and the lighting source is arranged at the upper end of the direction control holder;
the first control unit is respectively connected with the lighting equipment control unit and the lighting direction control unit.
Preferably, the image acquisition unit is arranged at one end of the direction control holder;
the image acquisition unit at least comprises an infrared camera.
Preferably, the sensor module comprises at least an illumination sensor, a sensor control unit;
the illumination sensor is connected with the sensor control unit;
the sensor control unit is connected with the first control unit;
the illumination sensor is used for collecting illumination intensity, and through setting up minimum standard threshold value of turning on light, based on illumination intensity and minimum standard threshold value of turning on light, obtain first control signal, first control unit is according to first control signal, and control lighting control module carries out the work of throwing light on, and wherein, minimum standard threshold value of turning on light includes 20lux at least.
An intelligent street lamp control system based on computer vision is used in a first server and comprises,
the first data processing unit is used for obtaining first identification data according to the first image, the second image and the first control signal, wherein the first control signal is used for indicating whether a person or an automobile passes through;
the second data storage unit is used for storing the first image, the second image and the first control signal;
and the second communication unit is connected with the second data storage unit.
Preferably, the first server is a cloud server;
the first data processing unit comprises a person identification unit and a vehicle identification unit;
the person identification unit is used for obtaining crowd density and a people flow track according to the first image;
the vehicle identification unit is used for obtaining the vehicle density and the vehicle motion trend of the vehicle according to the second image.
An intelligent street lamp control system based on computer vision, which is used in a second server, comprises,
the second data processing unit is used for obtaining a second control signal according to the first identification data;
the third data storage unit is connected with the second data processing unit and used for storing the first identification data and the second control signal;
a third communication unit connected to the third data storage unit;
and the first display unit is used for displaying the first identification data.
Preferably, the second data processing unit comprises a person identification processing module and a vehicle identification processing module;
the figure recognition processing module is used for obtaining first data according to the crowd density and the people flow track;
the vehicle identification processing module is used for obtaining second data according to the vehicle density and the vehicle motion tendency;
the second data processing unit is used for obtaining a second control signal according to the first data and the second data.
Preferably, the second server is a local server;
the first priority of the first data is greater than the second priority of the second data;
the second data processing unit is used for obtaining a second control signal according to the first data;
the second data processing unit is also used for obtaining a system working diagram according to the second control signal, and the system working diagram is used for reflecting the working state of the system.
An intelligent street lamp control system based on computer vision, the control system is used in mobile device, includes
A fourth data storage unit for storing the system working diagram
The fourth communication unit is connected with the fourth data storage unit;
and the second display unit is connected with the fourth data storage unit and is used for displaying the system working diagram, the first image and the second image.
The invention discloses the following technical effects:
(1) the invention comprehensively analyzes the condition of insufficient illumination conditions caused by different reasons, integrates and analyzes factors such as climate, time, environment and the like as much as possible, and reduces the problem that the illumination lamp cannot be turned on in time due to errors caused by individual reasons.
(2) The invention reduces the resource waste to the maximum aiming at the existing condition of resource waste, when at least one of a street pedestrian and a vehicle exists, the illuminating lamp can be lightened, the design greatly reduces the resource waste of the illuminating lamp for night illumination and large-range illumination under the night condition, even if a pedestrian passes through, the illuminating lamp only illuminates in front of the dense part of the pedestrian flow, and greatly reduces the problems of resource waste and insufficient efficiency during use.
(3) According to the invention, the infrared camera is used for collecting images, the current road condition and condition information is returned to the cloud end in real time in the form of images, the cloud end can be efficiently collected and classified, and finally the data processing system can be used for returning the information to the hardware system with the same high efficiency so as to achieve real-time updating and finally complete the work.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart of the system of the present invention;
FIG. 2 is a schematic diagram of the operation of the illumination sensor of the present invention;
FIG. 3 is a schematic diagram of an infrared camera according to the present invention;
fig. 4 is a schematic view of the operation of the lighting lamp according to the pedestrian after the cloud processes the data according to the present invention;
FIG. 5 is a schematic view of a vehicle working environment with a lamp according to the present invention after data processing by the cloud;
fig. 6 is a schematic structural diagram of the system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 6, the present invention provides an intelligent street lamp control system based on computer vision, the control system is used in an intelligent street lamp, and comprises:
the illumination control module is used for controlling the illumination light source to provide illumination work for pedestrians and vehicles;
the image acquisition unit is used for acquiring a first image of a pedestrian;
the vehicle detection unit is used for acquiring a second image of the vehicle and obtaining the number of the vehicles according to the second image;
the sensor module is used for acquiring the illumination intensity of the illumination light source;
the first control unit is electrically connected with the illumination control module, the image acquisition unit, the vehicle detection unit and the sensor module respectively;
the first data storage unit is connected with the first control unit and used for storing the first image, the second image, the number of vehicles and the illumination intensity;
and the first communication unit is connected with the first control unit.
The lighting control module at least comprises a lighting device control unit and a lighting direction control unit; the lighting equipment control unit is used for controlling the lighting light source to perform lighting work; the illumination direction control unit is used for controlling the illumination direction of the illumination light source; the lighting direction control unit at least comprises a direction control holder, and the lighting source is arranged at the upper end of the direction control holder; the first control unit is respectively connected with the lighting equipment control unit and the lighting direction control unit.
The image acquisition unit is arranged at one end of the direction control holder; the image acquisition unit at least comprises an infrared camera.
The sensor module at least comprises an illumination sensor and a sensor control unit; the illumination sensor is connected with the sensor control unit; the sensor control unit is connected with the first control unit; the illumination sensor is used for collecting illumination intensity, and through setting up minimum standard threshold value of turning on light, based on illumination intensity and minimum standard threshold value of turning on light, obtain first control signal, first control unit is according to first control signal, and control lighting control module carries out the work of throwing light on, and wherein, minimum standard threshold value of turning on light includes 20lux at least.
An intelligent street lamp control system based on computer vision is used in a first server and comprises,
the first data processing unit is used for obtaining first identification data according to the first image, the second image and the first control signal, wherein the first control signal is used for indicating whether a person or an automobile passes through;
the second data storage unit is used for storing the first image, the second image and the first control signal;
and the second communication unit is connected with the second data storage unit.
The first server is a cloud server; the first data processing unit comprises a person identification unit and a vehicle identification unit; the person identification unit is used for obtaining crowd density and a people flow track according to the first image; the vehicle identification unit is used for obtaining the vehicle density and the vehicle motion trend of the vehicle according to the second image.
An intelligent street lamp control system based on computer vision, which is used in a second server, comprises,
the second data processing unit is used for obtaining a second control signal according to the first identification data;
the third data storage unit is connected with the second data processing unit and used for storing the first identification data and the second control signal;
a third communication unit connected to the third data storage unit;
and the first display unit is used for displaying the first identification data.
Preferably, the second data processing unit comprises a person identification processing module and a vehicle identification processing module;
the figure recognition processing module is used for obtaining first data according to the crowd density and the people flow track;
the vehicle identification processing module is used for obtaining second data according to the vehicle density and the vehicle motion tendency;
the second data processing unit is used for obtaining a second control signal according to the first data and the second data.
The second server is a local server; the first priority of the first data is greater than the second priority of the second data; the second data processing unit is used for obtaining a second control signal according to the first data; the second data processing unit is also used for obtaining a system working diagram according to the second control signal, and the system working diagram is used for reflecting the working state of the system.
An intelligent street lamp control system based on computer vision, the control system is used in mobile device, includes
A fourth data storage unit for storing the system working diagram
The fourth communication unit is connected with the fourth data storage unit;
and the second display unit is connected with the fourth data storage unit and is used for displaying the system working diagram, the first image and the second image.
As shown in fig. 1, the present invention provides an intelligent street lamp system based on computer vision, and the schematic diagram is an overall structural schematic diagram of the present invention, including a hardware system, a cloud processing system and a data analysis platform that are already included therein.
The hardware system adopts a lighting lamp, a direction control holder, an infrared camera, a vehicle detection unit and an illumination sensor. The light is used for providing the illumination work of certain extent for pedestrian and vehicle, the direction of direction control cloud platform control light illumination, infrared camera then is responsible for shooing the image of pedestrian, vehicle detecting element is responsible for detecting whether this highway section has the vehicle and how many vehicles to can be in real time with information transfer to high in the clouds and data processing system, illumination sensor is responsible for gathering the illumination information under the current time quantum, so that whether send the instruction of opening the illumination for the light.
The cloud processing system is responsible for collecting and classifying image data transmitted by the hardware system, and collecting and classifying the illumination value detected by the illumination sensor, the pedestrian density and direction sent by the infrared camera and the number and the presence of real-time information of vehicles sent by the vehicle detection unit so as to more efficiently send the information to the data processing platform for data analysis and processing.
The data processing platform is used for processing and calculating data collected and classified by the cloud processing system, so that whether the data reach a threshold value of the illumination sensor or not is known, whether the illumination lamp can start to work or not is further known, and meanwhile, the pedestrian density and the traveling track transmitted by the infrared camera and the specific situation of the vehicle transmitted by the vehicle detection unit are known, so that an instruction is sent to the illumination lamp and the direction control holder, the illumination lamp and the direction control holder start to illuminate and cover a specific area.
As shown in fig. 2, when the system normally works, the illumination sensor continuously acquires the illumination intensity of the surrounding environment, and transmits the illumination intensity to the cloud end in real time to collect data, the cloud end classifies the collected information and then transmits the information to the data processing system, the information processing system analyzes the collected data, and then judges whether the threshold value under the illumination condition can reach the standard of the minimum lx (lux) required for turning on the lamp, when the illumination degree is above 20lux, the data processing system does not send an instruction for the infrared camera to start working, however, when the illumination intensity is below 20lux, the data processing system sends a working instruction to the infrared camera, and at this time, the infrared camera starts working.
As shown in fig. 3, when the system normally works, the infrared camera continuously collects the information of pedestrians and vehicles in the range, the vehicle detection unit continuously detects the information of the vehicles, and the collected information is classified into four types, the first type is the case of only pedestrians, the second type is the case of both pedestrians and vehicles, the third type is the case of only vehicles, the fourth type is the case of no pedestrians or vehicles, and after the classification, the cloud processing system hands the four types to the data processing system for data processing.
As shown in fig. 4 and 5, when only pedestrians are present in the range in the first type of situation is transmitted to the data processing system, the data processing system calculates the crowd density and the pedestrian flow trajectory, calculates the area with the densest density and the maximum width required by illumination at the moment, and simultaneously transmits an instruction to the direction control cradle head and the illumination lamp, wherein the switch of the illumination lamp is required to be in an open state, and the direction control cradle head controls the direction according to the required requirement, so that the illumination lamp illuminates the front of the predicted crowd in real time, and the prediction is performed again until the crowd leaves the illumination area. When the condition that pedestrians and vehicles exist in the range in the second type of condition is transmitted to the data processing system, the priority of the pedestrians is higher than the priority of the vehicles, namely the data processing system only calculates the density of the pedestrian group according to the characteristic that the vehicles are provided with lighting systems, the data processing system calculates the crowd density and predicts the pedestrian flow track, calculates the area with the densest density and the maximum width required by lighting at the moment, and simultaneously transmits an instruction to the direction control tripod head and the lighting lamp. When only vehicles in the range in the third type of conditions are transmitted to the data processing system, the data processing system calculates the density of the vehicles and the track of the vehicles, calculates the region with the densest density and the maximum width required by illumination at the moment, and simultaneously transmits an instruction to the direction control holder and the illuminating lamp, wherein firstly, the switch of the illuminating lamp is required to be in an open state, and the direction control holder controls the direction according to the required requirement and illuminates the front with the densest vehicles in real time until the vehicle group leaves the illumination region. When an instruction of no pedestrian or no vehicle in the range in the fourth type of situation is sent to the data processing system, the data processing system does not perform the operation of sending the instruction, namely, at the moment, the illuminating lamp is in a closed state (the closed state is different from the closed state in which the illumination does not reach the threshold value, because only the pedestrian or the vehicle appears at the moment, the system can immediately respond to timely turn on the illumination and only belongs to a real-time standby working state because no pedestrian or vehicle exists at the moment, but the response time is required for turning on the system when the illumination does not reach the threshold value, and the system is in a non-working state except for the illumination sensor), and the direction control holder is also in a non-working state.
The invention relates to an intelligent street lamp system based on computer vision and a using method thereof, wherein the system comprises: the device comprises a lighting lamp, a lamp controller, a direction control holder, an infrared camera, a lighting sensor, a lamp post, a pedestrian and a vehicle detection unit. The method comprises the following steps: when the illumination value detected by the illumination sensor is lower than a threshold value, the infrared camera acquires infrared images of the environments on two sides of the road, detects one or more pedestrians and vehicles in the acquired images, and calculates to obtain information of one or more pedestrians and vehicles in the road around the street lamp. And then calculating the current travel track of a single or a plurality of pedestrians, predicting the next travel track of the single or the plurality of pedestrians, and controlling the irradiation direction of the illuminating lamp through the pan-tilt head so that the illuminating lamp always irradiates in front of the pedestrians. The number and the dispersion degree of the crowds are calculated, the illumination intensity of the illuminating lamp is controlled, and if the number of the crowds is large or the crowds are dispersed, the illumination intensity is properly increased to expand the illumination range. By calculating the distance from the position of the vehicle to the roadside, if no pedestrian passes through the road around the current street lamp, the illumination direction and the illumination intensity of the illumination lamp are properly adjusted to enable the illumination range to cover the lane where the vehicle is located, and if the pedestrian exists on the road around the current street lamp, the illumination requirement of the pedestrian is preferentially met considering that the vehicle is generally provided with an illumination device.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the present invention in its spirit and scope. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent street lamp control system based on computer vision, which is used in an intelligent street lamp, and comprises:
the illumination control module is used for controlling the illumination light source to provide illumination work for pedestrians and vehicles;
the image acquisition unit is used for acquiring a first image of the pedestrian;
the vehicle detection unit is used for acquiring a second image of the vehicle and obtaining the number of the vehicles of the vehicle according to the second image;
the sensor module is used for acquiring the illumination intensity of the illumination light source;
the first control unit is electrically connected with the illumination control module, the image acquisition unit, the vehicle detection unit and the sensor module respectively;
a first data storage unit connected to the first control unit for storing the first image, the second image, the number of vehicles, and the illumination intensity;
and the first communication unit is connected with the first control unit.
2. The intelligent street lamp control system based on computer vision as claimed in claim 1,
the lighting control module at least comprises a lighting device control unit and a lighting direction control unit;
the lighting equipment control unit is used for controlling the lighting light source to perform lighting work;
the illumination direction control unit is used for controlling the illumination direction of the illumination light source;
the illumination direction control unit at least comprises a direction control holder, and the illumination light source is arranged at the upper end of the direction control holder;
the first control unit is respectively connected with the lighting equipment control unit and the lighting direction control unit.
3. The intelligent street lamp control system based on computer vision as claimed in claim 2,
the image acquisition unit is arranged at one end of the direction control holder;
the image acquisition unit at least comprises an infrared camera.
4. The intelligent street lamp control system based on computer vision as claimed in claim 3,
the sensor module at least comprises an illumination sensor and a sensor control unit;
the illumination sensor is connected with the sensor control unit;
the sensor control unit is connected with the first control unit;
the illumination sensor is used for acquiring the illumination intensity, acquiring a first control signal based on the illumination intensity and the minimum light-on standard threshold value by setting the minimum light-on standard threshold value, and controlling the illumination control module to perform illumination work by the first control unit according to the first control signal, wherein the minimum light-on standard threshold value at least comprises 20 lux.
5. The intelligent street lamp control system based on computer vision is characterized in that the control system is used in a first server and comprises,
the first data processing unit is used for obtaining first identification data according to the first image, the second image and the first control signal, wherein the first control signal is used for indicating whether a person or an automobile passes through;
a second data storage unit for storing the first image, the second image, and the first control signal;
and the second communication unit is connected with the second data storage unit.
6. The intelligent street lamp control system based on computer vision as claimed in claim 5,
the first server is a cloud server;
the first data processing unit comprises a person identification unit and a vehicle identification unit;
the person identification unit is used for obtaining crowd density and a people flow track according to the first image;
the vehicle identification unit is used for obtaining the vehicle density and the vehicle motion trend of the vehicle according to the second image.
7. The intelligent street lamp control system based on computer vision as claimed in claim 6, wherein the control system is used in a second server, comprising,
the second data processing unit is used for obtaining a second control signal according to the first identification data;
the third data storage unit is connected with the second data processing unit and used for storing the first identification data and the second control signal;
a third communication unit connected to the third data storage unit;
and the first display unit is used for displaying the first identification data.
8. The intelligent street lamp control system based on computer vision as claimed in claim 7,
the second data processing unit comprises a person identification processing module and a vehicle identification processing module;
the figure recognition processing module is used for obtaining first data according to the crowd density and the people flow track;
the vehicle identification processing module is used for obtaining second data according to the vehicle density and the vehicle motion tendency;
the second data processing unit is used for obtaining the second control signal according to the first data and the second data.
9. The intelligent street lamp control system based on computer vision as claimed in claim 8,
the second server is a local server;
a first priority of the first data is greater than a second priority of the second data;
the second data processing unit is used for obtaining the second control signal according to the first data;
and the second data processing unit is also used for obtaining a system working diagram according to the second control signal and reflecting the working state of the system.
10. The intelligent street lamp control system based on computer vision is characterized in that the control system is used in a mobile device and comprises,
a fourth data storage unit for storing the system working diagram;
the fourth communication unit is connected with the fourth data storage unit;
and the second display unit is connected with the fourth data storage unit and is used for displaying the system working diagram, the first image and the second image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110620849.9A CN113316295A (en) | 2021-06-03 | 2021-06-03 | Intelligent street lamp control system based on computer vision |
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| CN202110620849.9A CN113316295A (en) | 2021-06-03 | 2021-06-03 | Intelligent street lamp control system based on computer vision |
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| CN107575820A (en) * | 2017-09-30 | 2018-01-12 | 高邮锦旺照明科技有限公司 | A kind of Multifunctional City intelligent control solar LED street lamp |
| CN109152185A (en) * | 2018-10-19 | 2019-01-04 | 中国科学院重庆绿色智能技术研究院 | A kind of multi-source perception intelligent street lamp control system |
| CN109348596A (en) * | 2018-12-03 | 2019-02-15 | 平顶山学院 | A kind of city street lamp intelligence control system based on PLC |
| CN110260277A (en) * | 2019-06-25 | 2019-09-20 | 浙江工业大学 | Adaptive lighting control system based on Vehicle Detection |
| CN110740549A (en) * | 2019-10-10 | 2020-01-31 | 上海翎腾智能科技有限公司 | system and method for automatically adjusting illumination area and illumination intensity of illumination device by artificial intelligence technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107575820A (en) * | 2017-09-30 | 2018-01-12 | 高邮锦旺照明科技有限公司 | A kind of Multifunctional City intelligent control solar LED street lamp |
| CN109152185A (en) * | 2018-10-19 | 2019-01-04 | 中国科学院重庆绿色智能技术研究院 | A kind of multi-source perception intelligent street lamp control system |
| CN109348596A (en) * | 2018-12-03 | 2019-02-15 | 平顶山学院 | A kind of city street lamp intelligence control system based on PLC |
| CN110260277A (en) * | 2019-06-25 | 2019-09-20 | 浙江工业大学 | Adaptive lighting control system based on Vehicle Detection |
| CN110740549A (en) * | 2019-10-10 | 2020-01-31 | 上海翎腾智能科技有限公司 | system and method for automatically adjusting illumination area and illumination intensity of illumination device by artificial intelligence technology |
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Application publication date: 20210827 |