CN110458123A - A kind of gas station's efficiency of service intelligent analysis system based on video monitoring - Google Patents
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Abstract
The invention discloses a kind of gas station's efficiency of service intelligent analysis system based on video monitoring, including front-end image acquisition camera, IP transmission module, gas station's intelligent Service analyzer, service data Analysis server and service efficiency management software platform.Wherein, intelligent Service analyzer in gas station's is the core of this patent, and the intelligent algorithm used can in real time be monitored all kinds of Service events in gas station.The present invention can be merged neatly with the existing video monitoring system in gas station, had round-the-clock, automatically real-time to indexs progress such as the oiling efficiency of service of gas station, the efficiency of account settling of convenience store, the congestion index of gas station, the utilization rates of oily stake and automatically counted.These information provide in real time accurately gas station's multidate information for administrative staff, support to carry out decision for it and provide reliable data.
Description
Technical field
The present invention relates to artificial intelligence, e-commerce, intelligent monitoring technology fields, and in particular to one kind is based on video monitoring
Gas station's efficiency of service intelligent analysis system.
Background technique
What traditional video surveillance system was often only recorded a video has access to, with look back sometime the case where.In the overwhelming majority
Time in, data that monitoring system is monitored are in that very few people interested, in state idle for a long time.If with artificial
All cameras in mode combination gas station carry out the analysis statistics of gas station's efficiency of service, almost not achievable.It is especially close
A large amount of uses of high-definition monitoring over year will need if analyzing the unstructured data with interpretation magnanimity by manually
Huge manpower and material resources.With the gradually evolution of deep learning algorithm in recent years, artificial intelligence key technology obtains tremendous development.
In the fields such as computer vision and video structural, deep learning brings unprecedented performance boost, in multiple single views
Feel task, such as visual classification, face matching etc., have been achieved for the discriminating power for surmounting the mankind.The innovation of new technology, also brings
New application possibility, artificial intelligence technology in business, especially and in the combination of traditional industries have been done and have largely been tasted
Examination, achieves sizable achievement.
There is the support of new technology, the framework of gas station's efficiency of service intelligent analysis system based on video monitoring becomes
It may.It can it is standby it is round-the-clock, automatically to the oiling efficiency of service of gas station, the efficiency of account settling of convenience store, gas station
The indexs such as congestion index, the utilization rate of oily stake in real time and automatically count.These information provide real-time standard for administrative staff
True gas station's multidate information is supported to carry out decision for it and provide reliable data.
Summary of the invention
The present invention is intended to provide a kind of gas station's efficiency of service intelligent analysis system based on video monitoring, has whole day
It waits, automatically to the oiling efficiency of service of gas station, the efficiency of account settling of convenience store, the congestion index of gas station, the benefit of oily stake
In real time and automatically count with indexs such as rates.These information provide in real time accurately gas station's dynamic letter for administrative staff
Breath is supported to carry out decision for it and provide reliable data.
Technical scheme is as follows:
A kind of gas station's efficiency of service intelligent analysis system based on video monitoring, by front-end image acquisition camera, IP
Transmission module, gas station's intelligent Service analyzer, service data analyzer and efficiency of service Management software platform composition；It is logical
The existing video monitoring system in gas station is crossed to merge with gas station's intelligent Service analyzer, service data analyzer, realization all-weather,
Intelligentized gas station's efficiency of service intellectual analysis and statistics, in which:
1) front-end image acquisition camera CJ: acquiring video image using distributed monitoring camera, and is responsible for passing in real time
Video flowing is passed, supports single channel and multi-channel video capturing；
2) IP transmission module CS: measured audio-video agreement receives data 1), accesses simultaneously transmitting, monitoring camera
It acquires video image to gas station's intelligent Service analyzer and carries out Service events monitoring, support single channel and multi-channel video access and pass
It is defeated；
3) gas station's intelligent Service analyzer J: for the core of this system, receiving data 2), using artificial intelligence technology,
The gas station's Service events occurred in automatic capture monitor video, provide service monitoring in have:
A) check-out services event monitoring: integrated use customer target detection and multi-target tracking technology, real-time monitoring are each
The cash register event of a customer, and count its check-out services duration；
B) convenience store customer is into shop event capturing: integrated use customer target detection, multi-target tracking and scene cut
Technology is realized and is separated in convenience store with the scene outside convenience store；Real-time monitoring convenience store customer passes in and out shop event, and statistical unit
Enter convenience store's number and each customer in time in the shop residence time；
C) fueling area Service events monitor: the detection of integrated use vehicle target and multi-target tracking technology, real-time monitoring add
The oiling event of the oily each vehicle in area, and count its oiling service duration；
D) oiling stake uses event monitoring: integrated use oiling stake/vehicle target detection and multi-target tracking technology, in real time
The oiling event of each oiling stake is monitored, and counts its service duration；
E) head of a station is in station event monitoring: by energizing target detection technique and monotrack to entire gas station's camera
Technology, the real-time monitoring head of a station capture it in yard scape in station event, and count it in station duration；
4) service data Analysis server Q: receive event data 3), major function is to analyze gas station's intelligent Service
The data that device provides carry out secondary treatment, form chart and analysis report, and show by efficiency of service Management software platform
User, concrete analysis process content are as follows:
A) check-out services person-time/time/Efficiency Statistics: each customer's check-out services of cashier detected by obtaining J
Time carries out connection grade in timing, count gas station per hour/service person-time of day/week/month, average service time etc. refer to
Mark；
B) convenience store customer is into shop person-time/time statistics: by obtaining the state of customer that J is detected into convenience store, In
Connection grade is carried out in timing, count gas station per hour/day/week/month into shop person-time
C) fueling area service person-time/time/Efficiency Statistics: the service by obtaining each vehicle in fueling area that J is detected
Time carries out connection grade in timing, count gas station per hour/indexs such as train number, the average service time of day/week/month；
D) oiling stake service efficiency counts: the service window by obtaining all vehicles in fueling area that J is detected counts
Gas station per hour/the oiling stake of day/week/month adds up service time；
E) head of a station counts in station rate: the period occurs by obtaining the head of a station that J is detected on all cameras, counts every
It the head of a station forms per hour/day/week/month head of a station in station ratio in station ratio, and in timing first line of a couplet grade；
5) efficiency of service Management software platform G: receive information 4), provide gas station's efficiency of service intellectual analysis for user
Function is visualized with completely meter.
A kind of gas station's efficiency of service intelligent analysis system based on video monitoring of the present invention can be neatly existing with gas station
There is video monitoring system fusion, realizes comprehensive, intelligentized gas station's efficiency of service intellectual analysis and statistics, and pass through service
Efficiency management software platform provides the visualization statistics and analytic function of gas station's efficiency of service for user.
Detailed description of the invention
It, below will be to summary of the invention and embodiment in order to illustrate more clearly of the technical solution of the content of present invention and embodiment
Needed in attached drawing be briefly described.
Fig. 1 be gas station's efficiency of service intelligent analysis system provided by the invention based on video monitoring it is basic composition and
Connection relationship schematic diagram.
Fig. 2 is the service technology support structure figure of intelligent Service analyzer in gas station's provided by the invention.
Fig. 3 is the logic process flow figure of check-out services event monitoring provided by the invention
Fig. 4 is logic process flow figure of the convenience store customer provided by the invention into shop event monitoring
Fig. 5 is the logic process flow of the monitoring of fueling area Service events and the monitoring of oiling stake efficiency of service provided by the invention
Figure
Fig. 6 is logic process flow figure of the head of a station provided by the invention in station event monitoring
Fig. 7 is the internal processes figure of service data Analysis server provided by the invention.
Fig. 8 is the efficiency of service pipe of gas station's efficiency of service intelligent analysis system provided by the invention based on video monitoring
Manage software platform interfacial effect figure.
Specific embodiment
Below with reference to attached drawing of the present invention, technical solution of the present invention is clearly and completely described, it is clear that described
Embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field
Those of ordinary skill's every other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
The present invention is based on the logic of gas station's efficiency of service intelligent analysis system of video monitoring composition as shown in Figure 1: by
Front-end image acquisition camera, IP transmission module, gas station's intelligent Service analyzer, be loaded with the service of intellectual analysis software with
And efficiency of service Management software platform composition；Fig. 2 is the basic technology support structure figure of gas station's intelligent Service analyzer:
1) front-end image acquisition camera: video image is acquired using distributed monitoring camera, and is responsible for real-time delivery
Video flowing supports single channel and multi-channel video capturing；
2) IP transmission module: measured audio-video agreement receives data 1), accesses and transmitting, monitoring camera is adopted
Collect video image to gas station's intelligent Service analyzer and carries out Service events monitoring；.
3) gas station's intelligent Service analyzer: for the core of this system, receiving data 2), using artificial intelligence technology,
The gas station's Service events occurred in automatic capture monitor video, and provided after event data does to service data Analysis server
Continuous processing, the technical foundation of detection service have:
A) target detection technique: using deep learning method, and training building gas station attendant, adds fueling area vehicle
The automatic identification model of the targets such as oily area's article, customer is used for real-time people, vehicle, analyte detection；
B) Multitarget Tracking: the multiple target trackings algorithm such as improved Sort, DeepSort can be used, to customer, vehicle
Etc. targets carry out real-time tracing；
C) monotrack technology: the efficient monotrack algorithm such as KCF can be used, be mainly used for staff
Tenacious tracking；
D) scene cut technology:, can be by indoor and room in conjunction with traditional computer vision technique and deep learning method
It is effectively separated, determines for indoor and outdoor outside；
A variety of gas station's Service events monitoring services, cash register can be constructed in conjunction with gas station's service scenarios based on the above technology
Service events monitor logical flow chart such as Fig. 3, convenience store customer services into shop event monitoring logical flow chart such as Fig. 4, fueling area
Event monitoring and oiling stake efficiency of service monitoring logical flow chart such as Fig. 5, the head of a station are in station event monitoring logical flow chart such as Fig. 6.
Specific detection content and internal processes are as follows:
A) check-out services event monitoring: the monitor video sequence obtained from monitoring system is decoded and obtains processing figure
Piece carries out target detection after pretreatment, the customer in result that target detection obtains is screened, while carrying out format
Conversion is input in multi-target tracking algorithm, is then matched with the tracker of former frame and updates the tracking time.For because
The customer service time left and stop tracking being deposited into database；
B) convenience store customer is into shop event monitoring: being found out the door line equation inside and outside gate by scene cut technology.It connects
By monitoring system obtain monitor video sequence be decoded acquisition processing picture, by pretreatment after carry out target detection,
Customer in result that target detection obtains is screened, while format conversion being input in multi-target tracking algorithm, so
It is matched afterwards with the tracker of former frame and updates tracker.Obtained customer is tracked for each, with the segmentation for starting to find out
Equation carries out location status judgement, and information is stored in database if the location status of customer enters interior from outdoor；
C) fueling area Service events monitor: by user from visualization interface configuration in the preset specific coordinate in parking stall
Information input is initialized into server.Then the monitor video sequence that monitoring system obtains is decoded acquisition
Picture is handled, carries out target detection after pretreatment, the vehicle in result that target detection obtains is screened, while into
Row format conversion is input in multi-target tracking algorithm.For the vehicle tracked, it is first determined whether customized with user
Parking stall registration is greater than threshold value, does not update tracker if being not more than, and otherwise updates tracker and records its time, for
Stablize the vehicle that some period of time in service is then departed from and its service time is stored in database；
D) oiling stake efficiency of service monitor: by user from visualization interface configuration in the preset specific coordinate in parking stall
Information input is initialized into server.Then the monitor video sequence that monitoring system obtains is decoded acquisition
Picture is handled, carries out target detection after pretreatment, the vehicle in result that target detection obtains is screened, while into
Row format conversion is input in multi-target tracking algorithm.For the vehicle tracked, it is first determined whether customized with user
Parking stall registration is greater than threshold value, does not update tracker if being not more than.In conjunction with result above, by not vehicle service when
Between section recorded and be stored in database；
E) head of a station is in station event monitoring: mainly energizing target detection technique and monotrack to entire gas station's camera
Technology is first filtered out station manager by target detection, is then carried out single goal tracking to the station manager of appearance, is appointed to the head of a station
The scene and residence time that the meaning moment occurs are recorded, and data are stored in database；
4) service data Analysis server: receive event data 3), major function is to analyze gas station's intelligent Service
The data that device provides are obtained from database, and carry out secondary treatment, form chart and analysis report, and pass through efficiency of service pipe
Reason software platform shows user, and specific process flow is as shown in fig. 7, analysis process content is as follows:
A) check-out services person-time/time/Efficiency Statistics: each customer's check-out services of cashier detected by obtaining J
Time carries out connection grade in timing, count gas station per hour/service person-time of day/week/month, average service time etc. refer to
Mark；
B) convenience store customer is into shop person-time/time statistics: by obtaining the state of customer that J is detected into convenience store, In
Connection grade is carried out in timing, count gas station per hour/day/Zhou Yue is into shop person-time；
C) fueling area service person-time/time/Efficiency Statistics: the service by obtaining each vehicle in fueling area that J is detected
Time carries out connection grade in timing, count gas station per hour/indexs such as train number, the average service time of day/week/month；
D) oiling stake service efficiency counts: the service window by obtaining all vehicles in fueling area that J is detected counts
Gas station per hour/the oiling stake of day/week/month adds up service time；
E) head of a station counts in station rate: the period occurs by obtaining the head of a station that J is detected on all cameras, counts every
It the head of a station forms per hour/day/week/month head of a station in station ratio in station ratio, and in timing first line of a couplet grade；
5) efficiency of service Management software platform: information 4) is received, provides gas station's efficiency of service intellectual analysis for user
Function interface effect is visualized with completely meter as shown in figure 8, specifically showing that content is as follows:
A) convenience store, gas station per hour/day/week/month into shop person-time, service person-time, convenience store's average service time,
The data such as fueling area draw service time；
B) convenience store, gas station forms the diagram curve in timing into shop person-time, service person-time
C) head of a station is provided in hour/day/week/month curve graph of station rate；
D) congestion index of gas station's each period is provided according to the analysis of fueling area service scenario；
E) by fueling area per hour/daily service train number, average service time form the diagram curve in timing；
F) cumulative operation time of each oiling stake of per hour/day/week/month is counted, and forms histogram.
Claims (5)
1. a kind of gas station's efficiency of service intelligent analysis system based on video monitoring, which is characterized in that acquired by front-end image
Camera, IP transmission module, gas station's intelligent Service analyzer, service data analyzer and efficiency of service management software are flat
Platform composition；It is merged by the existing video monitoring system in gas station with gas station's intelligent Service analyzer, service data analyzer, it is real
Existing all-weather, intelligentized gas station's efficiency of service intellectual analysis and statistics, in which:
1) front-end image acquisition camera CJ: video image is acquired using distributed monitoring camera, and is responsible for real-time delivery view
Frequency flows, and supports single channel and multi-channel video capturing；
2) IP transmission module CS: measured audio-video agreement receives data 1), accesses and transmitting, monitoring camera acquires
Video image to gas station's intelligent Service analyzer carries out Service events monitoring, supports single channel and multi-channel video access and transmission；
3) gas station's intelligent Service analyzer J: for the core of this system, receive data 2), using artificial intelligence technology, automatically
The gas station's Service events occurred in capture monitor video；
4) service data Analysis server Q: receiving event data 3), the data that gas station's intelligent Service analyzer is provided into
Row secondary treatment forms chart and analysis report, and shows user by efficiency of service Management software platform；
5) efficiency of service Management software platform G: receiving information 4), provides gas station's efficiency of service intellectual analysis and system for user
Meter visualizes function.
2. gas station's efficiency of service intelligent analysis system according to claim 1 based on video monitoring, which is characterized in that
The gas station includes but is not limited to be attached to gas station, convenience store/supermarket.
3. gas station's efficiency of service intelligent analysis system according to claim 1 or 2 based on video monitoring, feature exist
In the service monitoring content that the gas station intellectual analysis server J is provided includes:
1) check-out services event monitoring: integrated use customer target detection and multi-target tracking technology, each Gu of real-time monitoring
The cash register event of visitor, and count its check-out services duration；
2) convenience store/supermarket customer is into shop event capturing: integrated use customer target detection, multi-target tracking and scene are divided
Technology is cut, realizes and is separated in convenience store with the scene outside convenience store；Real-time monitoring convenience store customer passes in and out shop event, and counts single
Enter convenience store's number and each customer in the time of position in the shop residence time；
3) fueling area Service events monitor: the detection of integrated use vehicle target and multi-target tracking technology, real-time monitoring fueling area
The oiling event of each vehicle, and count its oiling service duration；
4) oiling stake uses event monitoring: integrated use oiling stake/vehicle target detection and multi-target tracking technology, real-time monitoring
The oiling event of each oiling stake, and count its service duration；
5) head of a station is in station event monitoring: by energizing target detection technique and monotrack skill to entire gas station's camera
Art, the real-time monitoring head of a station capture it in yard scape in station event, and count it in station duration.
4. gas station's efficiency of service intelligent analysis system according to claim 1 based on video monitoring, which is characterized in that
Secondary treatment is carried out by the data that efficiency of service Management software platform provides gas station intelligent Service analyzer J, forms figure
Table and analysis report, and user is showed, concrete analysis process content is as follows:
1) check-out services person-time/time/Efficiency Statistics: to the cashier detected each customer's check-out services time, in timing
On carry out connection grade, count gas station per hour/indexs such as the service person-time of day/week/month, average service time；
2) convenience store customer is into shop person-time/time statistics: to the customer detected into the state of convenience store, being joined in timing
Grade, count gas station per hour/day/week/month into shop person-time
3) fueling area service person-time/time/Efficiency Statistics: to the service time of each vehicle in the fueling area detected, in timing
On carry out connection grade, count gas station per hour/indexs such as train number, the average service time of day/week/month；
4) oiling stake service efficiency counts: to the service window of all vehicles in the fueling area detected, counting gas station per small
When/day/week/month oiling stake add up service time；
5) head of a station counts in station rate: the period occurs to the head of a station detected on all cameras, counts the daily head of a station and standing
Ratio, and in timing first line of a couplet grade, per hour/day/week/month head of a station is formed in station ratio.
5. according to gas station's efficiency of service intelligent analysis system described in claim 1 based on video monitoring, which is characterized in that add
Petrol station intelligent Service analyzer J uses artificial intelligence technology, the gas station's Service events occurred in automatic capture monitor video, and
Event data is provided to service data Analysis server and does subsequent processing, and the technical foundation of detection service has:
1) deep learning method, training building gas station attendant, fueling area vehicle, fueling area target detection technique: are used
The automatic identification model of article, customer's target is used for real-time people, vehicle, analyte detection；
2) Multitarget Tracking: improved Sort, DeepSort multiple target tracking algorithm is used, to targets such as customer, vehicles
Carry out real-time tracing；
3) monotrack technology: using the efficient monotrack algorithm of KCF, be mainly used for the stabilization of staff with
Track；
4) scene cut technology: in conjunction with traditional computer vision technique and deep learning method, indoor and outdoors are had
Effect separation, determines for indoor and outdoor.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111932704A (en) * | 2020-07-17 | 2020-11-13 | 苏州企智信息科技有限公司 | Intelligent operation standard inspection method based on video behavior recognition |
| CN112749647A (en) * | 2020-12-30 | 2021-05-04 | 成都云盯科技有限公司 | Intelligent cash-receiving inspection method and system based on monitoring video |
| CN114466258A (en) * | 2022-02-09 | 2022-05-10 | 河南奇点网络科技有限公司 | Wisdom filling station data acquisition system based on 5G technique |
| CN114697620A (en) * | 2022-06-01 | 2022-07-01 | 深圳市喂车科技有限公司 | Gas station service efficiency intelligent analysis system based on video monitoring |
| CN114897351A (en) * | 2022-05-09 | 2022-08-12 | 浙江青墨湾能源科技有限公司 | Online monitoring and analyzing method and system based on digital energy and storage medium |
| CN116777175A (en) * | 2023-07-06 | 2023-09-19 | 车泊喜智能科技(山东)有限公司 | Wisdom adds oil statistics data analysis management cloud platform |
Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008097576A (en) * | 2006-09-13 | 2008-04-24 | Homenet Cars Co Ltd | Customer information processing system and method |
| CN101200274A (en) * | 2006-12-14 | 2008-06-18 | 范阳 | Gas station control system |
| CN101739615A (en) * | 2009-11-30 | 2010-06-16 | 交通部公路科学研究院 | Taxi intelligent comprehensive supervision and service system |
| CN102081844A (en) * | 2011-01-25 | 2011-06-01 | 华中科技大学 | Traffic video behavior analyzing and alarming server |
| CN202189249U (en) * | 2011-07-09 | 2012-04-11 | 毛振刚 | Gas station explosion-proof monitoring system |
| CN103957379A (en) * | 2014-05-26 | 2014-07-30 | 钟小茹 | Petrol station and gas station remote video monitoring and managing system |
| CN104050555A (en) * | 2014-07-06 | 2014-09-17 | 山东天海科技股份有限公司 | Beidou car networking logistics information service platform |
| CN104159071A (en) * | 2014-07-11 | 2014-11-19 | 深圳瞭望通达科技有限公司 | Intelligent target identification device, system and method based on cloud service |
| CN105956775A (en) * | 2016-05-03 | 2016-09-21 | 山东国兴智能科技有限公司 | Automatic unmanned gas station automatic oiling, monitoring and management system, and corresponding method |
| US20170142482A1 (en) * | 2015-11-13 | 2017-05-18 | Le Holdings (Beijing) Co., Ltd. | Video platform monitoring and analyzing system |
| CN106768652A (en) * | 2016-12-16 | 2017-05-31 | 中国石油天然气集团公司 | Oil depot monitoring method and system |
| WO2017166049A1 (en) * | 2016-03-29 | 2017-10-05 | 李昕光 | Smart card service system and method |
| CN108122246A (en) * | 2017-12-07 | 2018-06-05 | 中国石油大学(华东) | Video monitoring intelligent identifying system |
| CN108305391A (en) * | 2018-02-11 | 2018-07-20 | 宁夏纵横宝盈信息技术股份有限公司 | Oiling Information Collecting ＆ Processing method and oiling service system |
| CN108320518A (en) * | 2018-01-03 | 2018-07-24 | 深圳市喂车科技有限公司 | One kind can tank service truck bit allocation method and system |
| CN109271938A (en) * | 2018-09-19 | 2019-01-25 | 上海鸢安智能科技有限公司 | A kind of gas station's emptying Safety Monitoring Control method based on intelligent video analysis technology |
| CN109543067A (en) * | 2018-11-19 | 2019-03-29 | 陕西西普数据通信股份有限公司 | Enterprise's production status based on artificial intelligence monitors analysis system in real time |
| CN109685919A (en) * | 2019-02-18 | 2019-04-26 | 烟台市安特洛普网络科技有限公司 | Intelligent service terminal in compartment |
| CN109784161A (en) * | 2018-12-12 | 2019-05-21 | 成都数之联科技有限公司 | Video monitoring intelligent analysis system and method in a kind of shop |
-
2019
- 2019-08-15 CN CN201910755277.8A patent/CN110458123A/en active Pending
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008097576A (en) * | 2006-09-13 | 2008-04-24 | Homenet Cars Co Ltd | Customer information processing system and method |
| CN101200274A (en) * | 2006-12-14 | 2008-06-18 | 范阳 | Gas station control system |
| CN101739615A (en) * | 2009-11-30 | 2010-06-16 | 交通部公路科学研究院 | Taxi intelligent comprehensive supervision and service system |
| CN102081844A (en) * | 2011-01-25 | 2011-06-01 | 华中科技大学 | Traffic video behavior analyzing and alarming server |
| CN202189249U (en) * | 2011-07-09 | 2012-04-11 | 毛振刚 | Gas station explosion-proof monitoring system |
| CN103957379A (en) * | 2014-05-26 | 2014-07-30 | 钟小茹 | Petrol station and gas station remote video monitoring and managing system |
| CN104050555A (en) * | 2014-07-06 | 2014-09-17 | 山东天海科技股份有限公司 | Beidou car networking logistics information service platform |
| CN104159071A (en) * | 2014-07-11 | 2014-11-19 | 深圳瞭望通达科技有限公司 | Intelligent target identification device, system and method based on cloud service |
| US20170142482A1 (en) * | 2015-11-13 | 2017-05-18 | Le Holdings (Beijing) Co., Ltd. | Video platform monitoring and analyzing system |
| WO2017166049A1 (en) * | 2016-03-29 | 2017-10-05 | 李昕光 | Smart card service system and method |
| CN105956775A (en) * | 2016-05-03 | 2016-09-21 | 山东国兴智能科技有限公司 | Automatic unmanned gas station automatic oiling, monitoring and management system, and corresponding method |
| CN106768652A (en) * | 2016-12-16 | 2017-05-31 | 中国石油天然气集团公司 | Oil depot monitoring method and system |
| CN108122246A (en) * | 2017-12-07 | 2018-06-05 | 中国石油大学(华东) | Video monitoring intelligent identifying system |
| CN108320518A (en) * | 2018-01-03 | 2018-07-24 | 深圳市喂车科技有限公司 | One kind can tank service truck bit allocation method and system |
| CN108305391A (en) * | 2018-02-11 | 2018-07-20 | 宁夏纵横宝盈信息技术股份有限公司 | Oiling Information Collecting ＆ Processing method and oiling service system |
| CN109271938A (en) * | 2018-09-19 | 2019-01-25 | 上海鸢安智能科技有限公司 | A kind of gas station's emptying Safety Monitoring Control method based on intelligent video analysis technology |
| CN109543067A (en) * | 2018-11-19 | 2019-03-29 | 陕西西普数据通信股份有限公司 | Enterprise's production status based on artificial intelligence monitors analysis system in real time |
| CN109784161A (en) * | 2018-12-12 | 2019-05-21 | 成都数之联科技有限公司 | Video monitoring intelligent analysis system and method in a kind of shop |
| CN109685919A (en) * | 2019-02-18 | 2019-04-26 | 烟台市安特洛普网络科技有限公司 | Intelligent service terminal in compartment |
Non-Patent Citations (4)
| Title |
|---|
| 张梦: "基于数据资产下对智慧型加油站的探索与思考", 《纳税》 * |
| 张颖: "加油站服务管理质量管理规范方法探讨", 《中国石油和化工标准与质量》 * |
| 蒋红权: "加油站智能高清视频系统创新应用设计实现", 《信息系统工程》 * |
| 钱毅: "基于云计算和视频智能分析的变电站视频及环境监控系统升级方案设计", 《电力学报》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111932704A (en) * | 2020-07-17 | 2020-11-13 | 苏州企智信息科技有限公司 | Intelligent operation standard inspection method based on video behavior recognition |
| CN112749647A (en) * | 2020-12-30 | 2021-05-04 | 成都云盯科技有限公司 | Intelligent cash-receiving inspection method and system based on monitoring video |
| CN114466258A (en) * | 2022-02-09 | 2022-05-10 | 河南奇点网络科技有限公司 | Wisdom filling station data acquisition system based on 5G technique |
| CN114897351A (en) * | 2022-05-09 | 2022-08-12 | 浙江青墨湾能源科技有限公司 | Online monitoring and analyzing method and system based on digital energy and storage medium |
| CN114897351B (en) * | 2022-05-09 | 2024-06-25 | 浙江青墨湾能源科技有限公司 | On-line monitoring and analyzing method, system and storage medium based on digital energy |
| CN114697620A (en) * | 2022-06-01 | 2022-07-01 | 深圳市喂车科技有限公司 | Gas station service efficiency intelligent analysis system based on video monitoring |
| CN116777175A (en) * | 2023-07-06 | 2023-09-19 | 车泊喜智能科技(山东)有限公司 | Wisdom adds oil statistics data analysis management cloud platform |
| CN116777175B (en) * | 2023-07-06 | 2024-04-30 | 车泊喜智能科技(山东)有限公司 | Wisdom adds oil statistics data analysis management cloud platform |
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Application publication date: 20191115 |