CN113194252A - Data flow consumption optimization method and system for dynamically identifying intelligent cabinet - Google Patents
Data flow consumption optimization method and system for dynamically identifying intelligent cabinet Download PDFInfo
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- CN113194252A CN113194252A CN202110466677.4A CN202110466677A CN113194252A CN 113194252 A CN113194252 A CN 113194252A CN 202110466677 A CN202110466677 A CN 202110466677A CN 113194252 A CN113194252 A CN 113194252A
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- 238000005457 optimization Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 26
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000000903 blocking effect Effects 0.000 claims description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C23/00—Non-electrical signal transmission systems, e.g. optical systems
- G08C23/04—Non-electrical signal transmission systems, e.g. optical systems using light waves, e.g. infrared
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Abstract
The invention discloses a data flow consumption optimization method for dynamically identifying an intelligent cabinet, which comprises the following steps: a signal receiving and transmitting device is arranged in the dynamic identification intelligent cabinet, and signals are obtained through the signal receiving and transmitting device; when the signal transceiver receives and transmits abnormal signals, the detection device transmits a shielding signal to the controller; after receiving the shielding signal, the controller sends a shooting starting instruction to the camera device; the camera device starts to shoot the video after receiving the shooting starting instruction, and starts to acquire video data; when the transceiver receives and transmits normal signals, the controller cannot receive the shielding signals, and then the controller sends a shooting stopping instruction to the camera device; the camera device stops shooting when receiving the shooting stopping instruction to obtain complete video data, and then transmits the complete video data to the data processing module for processing; according to the invention, by eliminating the video shooting with invalid time duration, the volume of the shot video is greatly reduced, and the flow consumption during the video uploading is reduced.
Description
Technical Field
The invention relates to the field of research on data traffic consumption, in particular to a data traffic consumption optimization method and a data traffic consumption optimization system for a dynamic identification intelligent cabinet.
Background
With the development of unmanned retail, more intelligent and convenient unmanned intelligent containers (hereinafter referred to as intelligent containers) begin to enter people's lives. The shopping process of the intelligent cabinet is simple, the whole shopping experience is simple and convenient, the door is opened, goods are taken, the door is closed, and the settlement is carried out, so that the intelligent cabinet is being accepted by more and more consumers. The intelligent cabinet can be subdivided into a static identification intelligent cabinet, a gravity identification intelligent cabinet and a dynamic identification intelligent cabinet according to different modes of identifying commodities.
Dynamic identification intelligence cabinet takes place the back at each order, leans on 2 to 4 cameras of installing in the inside door frame apex angle department of intelligence cabinet to get the goods process and carry out the video shooting, then with the video packing of shooting upload to backend server, through artificial intelligence algorithm, assists with artifical judgement when necessary to reach the purpose of correct discernment commodity and settlement.
The video shooting in the current shopping process is started when the intelligent cabinet door is opened, and the shooting is finished after the door is closed. Because the video is shot for a long time, the shot video is large in size, the consumed flow is high during uploading, and the actual operation cost (the flow cost of the Internet of things card) of the dynamic identification type intelligent cabinet is increased invisibly. In order to reduce the traffic consumption of video uploading, currently, the shot video is mainly simply compressed to reduce the video volume and reduce the traffic consumption. Although the video volume is actually reduced by compression, the frame rate and the image quality of the video are sacrificed, and the difficulty of dynamic video identification is increased.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a data flow consumption optimization method and a data flow consumption optimization system for dynamically identifying an intelligent cabinet, which are used for eliminating video shooting with invalid time duration, so that the volume of the shot video is greatly reduced, and the flow consumption during uploading of the video is reduced.
The invention aims to provide a data flow consumption optimization method for dynamically identifying an intelligent cabinet.
The second purpose of the invention is to provide a data traffic consumption optimization system for dynamically identifying the intelligent cabinet.
The first purpose of the invention is realized by the following technical scheme:
a data flow consumption optimization method for dynamically identifying an intelligent cabinet comprises the following steps:
a signal receiving and transmitting device is arranged in the dynamic identification intelligent cabinet, and signals are obtained through the signal receiving and transmitting device;
when the signal transceiver receives and transmits abnormal signals, the detection device transmits a shielding signal to the controller;
after receiving the shielding signal, the controller sends a shooting starting instruction to the camera device;
the camera device starts to shoot the video after receiving the shooting starting instruction, and starts to acquire video data;
when the transceiver receives and transmits normal signals, the controller cannot receive the shielding signals, and then the controller sends a shooting stopping instruction to the camera device;
and the camera device stops shooting when receiving the shooting stopping instruction to obtain complete video data, and then transmits the complete video data to the data processing module for processing.
Furthermore, the signal transceiver is arranged on two sides of the interior of the dynamic identification intelligent cabinet.
Furthermore, the signal transceiver is provided with a plurality of signal transceivers, and a pair of signal transceivers are respectively arranged at the position of each layer of tray on the inner door frame of the dynamic identification intelligent cabinet.
Further, the abnormal transceiving of the signal transceiving device is specifically: have between the signal transceiver to shelter from, normal signal receiving and dispatching can't be accomplished to signal transceiver, detection device detects according to the unable circumstances of accomplishing signal receiving and dispatching of signal transceiver that there is the sending and receiving signal device of the concrete kth tray of dynamic identification intelligence cabinet to shelter from between, then sends and shelters from signal to controller.
Further, after receiving the blocking signal, the controller sends a shooting start instruction to the image pickup device, specifically: the controller receives the shielding signal sent by the detection device, then judges that the dynamic recognition intelligent cabinet is opened, and simultaneously, the transmitting and receiving signal device of the kth tray is shielded, and then the controller sends a shooting starting instruction to the camera device corresponding to the tray.
Further, the shooting device starts shooting the video when receiving the shooting start instruction, specifically: the camera device is provided with a plurality of cameras inside the dynamic identification intelligent cabinet, and when the signal transceiver that the tray within the shooting range of the camera corresponds receives and sends unusually, the camera receives and begins to shoot the video after beginning to shoot the instruction, acquires corresponding video data.
Further, the transceiver device is normal in transceiving, specifically: the signal transceiver does not shield, the signal transceiver can complete normal signal transceiving, the detection device detects that the signal transceiver of the dynamic identification intelligent cabinet does not shield according to the condition that the signal transceiver can complete signal transceiving, and a shielding signal is not sent to the controller.
Further, the camera device stops shooting when receiving the shooting stopping instruction, specifically: and the camera device stops shooting to obtain complete video data after receiving a shooting stopping instruction sent by the controller, and then uploads the complete video data to the data processing module for processing.
The second purpose of the invention is realized by the following technical scheme:
a data traffic consumption optimization system for dynamically identifying intelligent cabinets comprises:
the dynamic identification intelligent cabinet is provided with a plurality of cabinet body commodity trays;
a signal transceiver; the dynamic identification intelligent cabinet is arranged on two sides of the commodity tray of the cabinet body corresponding to the dynamic identification intelligent cabinet and used for receiving and transmitting infrared signals;
a camera device; the intelligent cabinet comprises a plurality of cameras, a plurality of image acquisition devices and a plurality of image processing devices, wherein the cameras are arranged in the dynamic identification intelligent cabinet and acquire video data according to a shooting instruction;
a detection device; the device is used for monitoring whether the signal transceiving device normally transmits and receives signals and transmitting a shielding signal to the controller according to the signal transceiving condition of the signal transceiving device;
a controller; sending a shooting instruction to the camera device according to the receiving condition of the shielding signal;
a data processing device; for processing a complete video processing;
a storage device; for storing video data.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. according to the invention, for the dynamic identification intelligent cabinet, the video duration and size of each order of the dynamic identification intelligent cabinet are effectively reduced by optimizing the control logic of the video start/stop shooting time of each order, so that the video uploading flow consumption of each order is reduced on the premise of not reducing the video quality.
2. The invention adopts a mature infrared transceiver as the trigger control logic, has simple installation, does not need to invest in additional algorithm research and development, and has the advantages of low investment cost, high control accuracy and difficult error.
Drawings
Fig. 1 is a flowchart of a data traffic consumption optimization method for dynamically identifying an intelligent cabinet according to the present invention.
Fig. 2 is a structural diagram of the internal configuration of the dynamic identification intelligent cabinet in the embodiment of the invention.
Fig. 3 is a block diagram of a data traffic consumption optimization system for dynamically identifying an intelligent cabinet according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
Example (b):
a data traffic consumption optimization method for dynamically identifying an intelligent cabinet, as shown in fig. 1, includes the following steps:
the method comprises the following steps that signal receiving and sending devices are arranged on two sides in the dynamic identification intelligent cabinet, a plurality of signal receiving and sending devices are arranged, a pair of signal receiving and sending devices are respectively arranged at the position of each layer of tray on an inner door frame of the dynamic identification intelligent cabinet, and signals are obtained through the signal receiving and sending devices;
when the signal transceiver receives and transmits abnormal signals, the detection device transmits a shielding signal to the controller; the method specifically comprises the following steps: have between the signal transceiver to shelter from, normal signal receiving and dispatching can't be accomplished to signal transceiver, detection device detects according to the unable circumstances of accomplishing signal receiving and dispatching of signal transceiver that there is the sending and receiving signal device of the concrete kth tray of dynamic identification intelligence cabinet to shelter from between, then sends and shelters from signal to controller.
After receiving the shielding signal, the controller sends a shooting starting instruction to the camera device; the method specifically comprises the following steps: the controller receives the shielding signal sent by the detection device, then judges that the dynamic recognition intelligent cabinet is opened, and simultaneously, the transmitting and receiving signal device of the kth tray is shielded, and then the controller sends a shooting starting instruction to the camera device corresponding to the tray.
The camera device starts to shoot the video after receiving the shooting starting instruction, and starts to acquire video data; the method specifically comprises the following steps: the camera device is provided with a plurality of cameras inside the dynamic identification intelligent cabinet, and when the signal transceiver that the tray within the shooting range of the camera corresponds receives and sends unusually, the camera receives and begins to shoot the video after beginning to shoot the instruction, acquires corresponding video data.
When the transceiver receives and transmits normal signals, the controller cannot receive the shielding signals, and then the controller sends a shooting stopping instruction to the camera device; the method specifically comprises the following steps: the signal transceiver does not shield, the signal transceiver can complete normal signal transceiving, the detection device detects that the signal transceiver of the dynamic identification intelligent cabinet does not shield according to the condition that the signal transceiver can complete signal transceiving, and a shielding signal is not sent to the controller.
The camera device stops shooting when receiving the shooting stopping instruction to obtain complete video data, and then transmits the complete video data to the data processing module for processing; the method specifically comprises the following steps: and the camera device stops shooting to obtain complete video data after receiving a shooting stopping instruction sent by the controller, and then uploads the complete video data to the data processing module for processing.
Suppose that the duration of normal shopping video shooting at the dynamic recognition intelligent cabinet is the total length, the video starts shooting when opening the door, and stops shooting when closing the door. However, the duration of the shot video is the invalid duration from the time when the consumer opens the door to reach the hand, and from the time when the consumer takes the goods out of the cabinet to close the door. That is, the head and tail durations of the currently shot dynamic video belong to the invalid duration. The invalid time length, algorithm or manual work can not be used as the identification and judgment basis. Only the period from the time when the consumer stretches out to pick the goods to the time when the cabinet body is taken out belongs to the effective time, and the method can be used for algorithm or artificial commodity identification judgment basis.
The method mainly eliminates the video shooting with invalid time duration, thereby greatly reducing the volume of the shot video and reducing the flow consumption during the uploading of the video. The following describes how the present invention starts video shooting from the time of reaching and ends video shooting when a commodity is taken out.
First, an infrared transceiver, i.e., an infrared sensor, needs to be installed on the inner door frame of the dynamic intelligent cabinet, and a pair of trays is installed at each layer, as shown in fig. 2. When the receiving and sending devices are not shielded, the infrared ray is normally transmitted and received without electric signals; when the receiving and sending devices are shielded, the infrared ray is abnormal in receiving and sending, and a shielding signal is sent to the controller. The controller sends a video shooting instruction to the camera to start shooting videos. When the shielding signal disappears, the controller sends a shooting stopping instruction to the camera to stop video shooting.
When a consumer stretches into a certain layer of tray to pick up goods, the infrared ray receiving and transmitting device on the layer is shielded, the infrared device triggers a shielding signal to be transmitted to the controller, and the controller gives an instruction to start video shooting. When the goods are taken out by the consumer, the infrared device shields the disappearance of the signal after the goods are taken out of the intelligent cabinet, and the controller gives an instruction to stop video shooting. The video shot at this time is a complete purchase process from the time of reaching for picking up the goods to the time of picking up the goods by the consumer, and belongs to the part of effective duration. The shooting is not carried out in the two sections of invalid time duration from the time of opening the door to the time of extending the hands into the cabinet and from the time of taking out the commodity to the time of closing the door.
By only shooting the video of the effective duration part of each order, the volume of the shot video can be greatly reduced, and the flow consumption of uploading the video is reduced.
A data traffic consumption optimization system for dynamically identifying intelligent cabinets, as shown in fig. 3, includes:
the dynamic identification intelligent cabinet is provided with a plurality of cabinet body commodity trays;
a signal transceiver, here an infrared transceiver; the dynamic identification intelligent cabinet is arranged on two sides of the commodity tray of the cabinet body corresponding to the dynamic identification intelligent cabinet and used for receiving and transmitting infrared signals;
a camera device; the intelligent cabinet comprises a plurality of cameras, a plurality of image acquisition devices and a plurality of image processing devices, wherein the cameras are arranged in the dynamic identification intelligent cabinet and acquire video data according to a shooting instruction;
a detection device; the device is used for monitoring whether the signal transceiving device normally transmits and receives signals and transmitting a shielding signal to the controller according to the signal transceiving condition of the signal transceiving device;
a controller, here a PLC controller; sending a shooting instruction to the camera device according to the receiving condition of the shielding signal;
a data processing device; for processing a complete video processing;
a storage device, here a data storage device; for storing video data.
And packaging and uploading the acquired video data to a background server.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (9)
1. A data flow consumption optimization method for dynamically identifying an intelligent cabinet is characterized by comprising the following steps:
a signal receiving and transmitting device is arranged in the dynamic identification intelligent cabinet, and signals are obtained through the signal receiving and transmitting device;
when the signal transceiver receives and transmits abnormal signals, the detection device transmits a shielding signal to the controller;
after receiving the shielding signal, the controller sends a shooting starting instruction to the camera device;
the camera device starts to shoot the video after receiving the shooting starting instruction, and starts to acquire video data;
when the transceiver receives and transmits normal signals, the controller cannot receive the shielding signals, and then the controller sends a shooting stopping instruction to the camera device;
and the camera device stops shooting when receiving the shooting stopping instruction to obtain complete video data, and then transmits the complete video data to the data processing module for processing.
2. The method for optimizing data traffic consumption of a dynamic identification intelligent cabinet according to claim 1, wherein the signal transceiver is arranged on two sides of the interior of the dynamic identification intelligent cabinet.
3. The method as claimed in claim 2, wherein the signal transceiver devices are disposed in a plurality of numbers, and a pair of signal transceiver devices is disposed at each layer of tray position on the inner door frame of the intelligent cabinet.
4. The method for optimizing data traffic consumption of dynamically identified intelligent cabinets according to claim 1, wherein the signal transceiving device is abnormal in transceiving, specifically: have between the signal transceiver to shelter from, normal signal receiving and dispatching can't be accomplished to signal transceiver, detection device detects according to the unable circumstances of accomplishing signal receiving and dispatching of signal transceiver that there is the sending and receiving signal device of the concrete kth tray of dynamic identification intelligence cabinet to shelter from between, then sends and shelters from signal to controller.
5. The method for optimizing data traffic consumption of dynamically identified intelligent cabinets according to claim 4, wherein the controller sends a shooting start instruction to the camera device after receiving the blocking signal, specifically: the controller receives the shielding signal sent by the detection device, then judges that the dynamic recognition intelligent cabinet is opened, and simultaneously, the transmitting and receiving signal device of the kth tray is shielded, and then the controller sends a shooting starting instruction to the camera device corresponding to the tray.
6. The method for optimizing data traffic consumption of dynamically identified intelligent cabinets according to claim 5, wherein the video capturing device starts capturing a video when receiving a capturing start command, specifically: the camera device is provided with a plurality of cameras inside the dynamic identification intelligent cabinet, and when the signal transceiver that the tray within the shooting range of the camera corresponds receives and sends unusually, the camera receives and begins to shoot the video after beginning to shoot the instruction, acquires corresponding video data.
7. The method for optimizing data traffic consumption of a dynamic identification smart cabinet according to claim 6, wherein the transceiver device is normally configured to: the signal transceiver does not shield, the signal transceiver can complete normal signal transceiving, the detection device detects that the signal transceiver of the dynamic identification intelligent cabinet does not shield according to the condition that the signal transceiver can complete signal transceiving, and a shielding signal is not sent to the controller.
8. The method for optimizing data traffic consumption of dynamically identified intelligent cabinets according to claim 7, wherein the shooting is stopped when the camera device receives a shooting stop instruction, specifically: and the camera device stops shooting to obtain complete video data after receiving a shooting stopping instruction sent by the controller, and then uploads the complete video data to the data processing module for processing.
9. A data traffic consumption optimization system for dynamically identifying intelligent cabinets is characterized by comprising:
the dynamic identification intelligent cabinet is provided with a plurality of cabinet body commodity trays;
a signal transceiver; the dynamic identification intelligent cabinet is arranged on two sides of the commodity tray of the cabinet body corresponding to the dynamic identification intelligent cabinet and used for receiving and transmitting infrared signals;
a camera device; the intelligent cabinet comprises a plurality of cameras, a plurality of image acquisition devices and a plurality of image processing devices, wherein the cameras are arranged in the dynamic identification intelligent cabinet and acquire video data according to a shooting instruction;
a detection device; the device is used for monitoring whether the signal transceiving device normally transmits and receives signals and transmitting a shielding signal to the controller according to the signal transceiving condition of the signal transceiving device;
a controller; sending a shooting instruction to the camera device according to the receiving condition of the shielding signal;
a data processing device; for processing a complete video processing;
a storage device; for storing video data.
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CN108921645A (en) * | 2018-06-07 | 2018-11-30 | 深圳码隆科技有限公司 | A kind of commodity purchasing determination method, device and user terminal |
CN109979130A (en) * | 2019-03-29 | 2019-07-05 | 厦门益东智能科技有限公司 | A kind of commodity automatic identification and clearing sales counter, method and system |
WO2019232703A1 (en) * | 2018-06-06 | 2019-12-12 | 深圳前海达闼云端智能科技有限公司 | Smart vending cabinet, object recognition method, device, server, and storage medium |
CN111833518A (en) * | 2019-04-16 | 2020-10-27 | 浙江嗨便利网络科技有限公司 | Intelligent sales counter based on dynamic image recognition technology |
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2019232703A1 (en) * | 2018-06-06 | 2019-12-12 | 深圳前海达闼云端智能科技有限公司 | Smart vending cabinet, object recognition method, device, server, and storage medium |
CN108921645A (en) * | 2018-06-07 | 2018-11-30 | 深圳码隆科技有限公司 | A kind of commodity purchasing determination method, device and user terminal |
CN109979130A (en) * | 2019-03-29 | 2019-07-05 | 厦门益东智能科技有限公司 | A kind of commodity automatic identification and clearing sales counter, method and system |
CN111833518A (en) * | 2019-04-16 | 2020-10-27 | 浙江嗨便利网络科技有限公司 | Intelligent sales counter based on dynamic image recognition technology |
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