CN209328138U - A kind of Intelligent cargo cabinet of application image identification device and gravity sensor - Google Patents
A kind of Intelligent cargo cabinet of application image identification device and gravity sensor Download PDFInfo
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- CN209328138U CN209328138U CN201821758482.7U CN201821758482U CN209328138U CN 209328138 U CN209328138 U CN 209328138U CN 201821758482 U CN201821758482 U CN 201821758482U CN 209328138 U CN209328138 U CN 209328138U
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- intelligent cargo
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Abstract
The utility model relates to the Intelligent cargo cabinets of a kind of application image identification device and gravity sensor, comprising: processor；Pattern recognition device is connected to the processor and is configured to obtain the image that user took or put back to commodity；Gravity sensor is connected to the processor the weight change for being configured to obtain commodity in Intelligent cargo cabinet；Wherein, inventory can be generated based on the image for taking or putting back to commodity from described image identification device user；Grouping of commodities can be generated based on the weight change from the gravity sensor；It can obtain user according to matching for the inventory and grouping of commodities and take commodity type and quantity.Gravity sensor is combined the commodity taken of identification user by the utility model with pattern recognition device, can it is more accurate, shopping process is rapidly completed, reduce client's waiting time, improve efficiency.
Description
Technical field
The utility model relates to retail trade, particularly a kind of Intelligent cargo cabinet and the method for determining commodity of taking.
Background technique
Intelligent cargo cabinet is a kind of self-service machine completed using big data, intellectual technology and algorithm.Intelligent cargo cabinet benefit
The commodity that pin ranks behind will be moved on counter with big data to eliminate, and liked according to different zones, distribute different commodity.Intelligent goods
Cabinet change can shopping experience, improve user satisfaction.Although Intelligent cargo cabinet enriches shopping function, it can be difficult to avoiding generating
Mistake order causes to generate goods damage.
Utility model content
For the technical problems in the prior art, the utility model proposes a kind of Intelligent cargo cabinets, comprising: processing
Device；Pattern recognition device is connected to the processor and is configured to obtain the image that user took or put back to commodity；Gravity passes
Sensor is connected to the processor the weight change for being configured to obtain commodity in Intelligent cargo cabinet；Wherein, based on from described
The image that pattern recognition device user took or put back to commodity can generate inventory；Based on from the gravity sensor
Weight change can generate grouping of commodities；User can be obtained according to the matching of the inventory and grouping of commodities to take commodity
Type and quantity.
Intelligent cargo cabinet as described above further comprises: communication interface, is configured to be sent in gravity sensor and be visited
From the image of pattern recognition device when the weight of survey changes.
Intelligent cargo cabinet as described above further comprises: communication interface, is configured to from described image identification device
Intelligent cargo cabinet cabinet door open and close between video in change the moment in the weight that the gravity sensor is detected
Before or after image.
Intelligent cargo cabinet as described above further comprises: communication interface, is configured to from described image identification device
Intelligent cargo cabinet cabinet door open and close between video in truncated picture at predetermined intervals.
Intelligent cargo cabinet as described above, wherein Intelligent cargo cabinet includes multilayer, and described image identification device includes multiple camera shootings
Head, at least one layer of in the multilayer of Intelligent cargo cabinet includes one or more cameras.
Intelligent cargo cabinet as described above, wherein the multilayer of Intelligent cargo cabinet includes top layer, bottom and at least one middle layer；Its
Described in top layer the upper left corner and the upper right corner be respectively set camera overlook shooting；The lower left corner and the lower right corner of the middle layer point
Not She Zhi camera, one of camera overlooks shooting and another camera looks up shooting；And the lower-left of the bottom
Angle and the lower right corner are respectively set camera and look up shooting.
Intelligent cargo cabinet as described above, wherein the multilayer of Intelligent cargo cabinet includes multiple middle layers, wherein adjacent described
The shooting angle of the camera of middle layer is arranged alternately.
Intelligent cargo cabinet as described above, wherein between the top layer and middle layer, multiple middle layers or middle layer and bottom
It include the middle layer of not set camera between layer.
Intelligent cargo cabinet as described above, the plurality of camera are positioned close to the side of Intelligent cargo cabinet cabinet door.
Intelligent cargo cabinet as described above, including one or more gravity sensing pallet, wherein gravity sensor include
In gravity sensing pallet.
Intelligent cargo cabinet as described above, wherein the gravity sensing pallet further includes pallet, gravity sensor bracket, gravity
Sensor base and basetray；Wherein pallet is arranged on gravity sensor bracket, and gravity sensor bracket is fixed on gravity
On sensor, gravity sensor is mounted on gravity sensor pedestal, and gravity sensor pedestal is fixed on basetray.
Gravity sensor is combined the commodity that identification user takes, Ke Yigeng by the utility model with pattern recognition device
Add it is accurate, shopping process is rapidly completed, reduce client's waiting time, improve efficiency.
Detailed description of the invention
In the following, preferred embodiments of the present invention will be described in more detail in conjunction with attached drawing, in which:
Fig. 1 is the status diagram using Intelligent cargo cabinet according to the utility model one embodiment；
Fig. 2 is the structural schematic diagram according to the Intelligent cargo cabinet of the utility model one embodiment；
Fig. 3 is the schematic diagram according to the unmanned purchase system server of the utility model one embodiment；
Fig. 4 is the flow chart according to the utility model one embodiment application gravity sensing and image recognition commodity；
Fig. 5 is according to the utility model one embodiment equipped with gravity sensor and pattern recognition device Intelligent cargo cabinet
Structural schematic diagram；And
Fig. 6 is the gravity sensing tray structure diagram according to the utility model one embodiment.
Specific embodiment
It is practical new below in conjunction with this to keep the objectives, technical solutions, and advantages of the embodiments of the present invention clearer
Attached drawing in type embodiment, the technical scheme in the utility model embodiment is clearly and completely described, it is clear that is retouched
The embodiment stated is the utility model a part of the embodiment, instead of all the embodiments.Based on the implementation in the utility model
Example, every other embodiment obtained by those of ordinary skill in the art without making creative efforts belong to
The range of the utility model protection.
In the following detailed description, the specific embodiment for being used to illustrate the application as the application a part may refer to
Each Figure of description.In the accompanying drawings, similar appended drawing reference describes substantially similar component in different drawings.This Shen
Each specific embodiment please has carried out description detailed enough following, so that having the general of ability domain-dependent knowledge and technology
Logical technical staff can implement the technical solution of the application.It should be appreciated that can also be using other embodiments or to the application
Embodiment carry out structure, logic or electrical property change.
The utility model provide it is a kind of identify commodity using gravity sensor equipment and image recognition apparatus, pass through two kinds
Equipment commodity of making an inventory are matched and are generated order, improve the accuracy rate of order.It below will be practical new to this by embodiment
Explanation is explained in detail in type.
Fig. 1 is the status diagram using Intelligent cargo cabinet according to the utility model one embodiment.As shown in Figure 1, intelligence
Energy counter 110 includes cabinet body and cabinet door.Intelligent cargo cabinet 110 is usually enclosed, such as with locking door.Intelligent cargo cabinet
One or more commodity for sale are stored in 110.Intelligent cargo cabinet 110 is connect with server 120 by communication connection 130.
When user wishes to buy the commodity in Intelligent cargo cabinet, the cabinet door of Intelligent cargo cabinet is unlocked.For example, user can be used
Mobile terminal 140 scans the identification code in Intelligent cargo cabinet, then utilizes mobile terminal login service device 120.After logining successfully, such as
Fruit user is eligible, 120 indicating intelligent counter solution locker door of server.It will be appreciated by those skilled in the art that the above is only
Solve a kind of mode of locker door.Other modes, for example, scanning customer mobile terminal identification code, scan user fingerprint, sweep
The other modes such as the palmmprint for retouching user, the iris for scanning user, the face for scanning user can also unlock Intelligent cargo cabinet with user
Cabinet door.
After the cabinet door unlock of Intelligent cargo cabinet, user can open cabinet door, the commodity for Intelligent cargo cabinet of taking.When user terminates to purchase
After object, such as after closing cabinet door, order is generated according to the commodity that user takes.After user pays the amount of money of order, one is completed
The secondary shopping using Intelligent cargo cabinet.
With reference to Fig. 1, the other equipment in 110 ambient enviroment of Intelligent cargo cabinet may also be with Intelligent cargo cabinet using related.It lifts
For example, picture pick-up device can be used for acquiring image or video around Intelligent cargo cabinet 110 in 110 ambient enviroment of Intelligent cargo cabinet.
These images or video can be used for user's identification, the identification for commodity of taking, open cabinet door or close the action recognition of cabinet door
Etc..Alternatively, the gravity sensitive equipment in 110 ambient enviroment of Intelligent cargo cabinet can be used for identifying whether having user close to intelligence
Counter 110.It will be appreciated by those skilled in the art that the above is only the other equipment in application 110 ambient enviroment of Intelligent cargo cabinet
Some examples.The equipment of other types or function may also use in the relevant application of Intelligent cargo cabinet.
Fig. 2 is the structural schematic diagram according to the Intelligent cargo cabinet of the utility model one embodiment.As shown, Intelligent cargo cabinet
Including processor 201, communication interface 202, sensor 203, detector 204 and memory 205.
Processor 201 can include one or more central processing unit (CPU), graphics processing unit (GPU), dedicated collection
At circuit (ASIC), field programmable gate array (FPGA) or their combination.Processor 201, which is able to carry out, is stored in memory
Software or computer-readable instruction in 205 is to execute method described herein or operation.Processor 201 can be with several differences
Mode implement.For example, processor 201 can include one or more embeded processors, processor core, miniature processing
Device, logic circuit, hardware finite state machines (FSM), digital signal processor (DSP) or their combination.
Communication interface 202 can include one or more wired or wireless communication interfaces.For example, communication interface network interface
Card, radio modem or wire line MODEM.In one application, communication interface 202 can be WiFi modulation /demodulation
Device.In other applications, communication interface 202 can be 3G modem, 4G modem, LTE modem, indigo plant
Dental assembly, radio frequency receiver, antenna or their combination.
Sensor 203 is able to detect the commodity in Intelligent cargo cabinet.In one application, sensor 203 can be RFID days
Line, the RFID label tag being able to detect in Intelligent cargo cabinet on commodity.In another kind application, sensor 203 can be that gravity passes
Feel equipment, is able to detect the weight in commodity in its search coverage.In another kind application, sensor 203 can be figure
As identification device, the image of commodity in its region-of-interest can be obtained.In other applications, sensor 203 can be red
In some applications, sensor 203 can be the group of sensor mentioned above for outer sensor, photoelectricity tactility apparatus, microswitch
It closes.It will be appreciated by those skilled in the art that being above only the possible example of exemplary illustration sensor 203.Energy in this field
Enough realize that other examples of same purpose also can be applied to this.
Detector 204 is able to detect the situation inside and outside Intelligent cargo cabinet or Intelligent cargo cabinet.In one application, detector
204 can be door lock state detector, be able to detect Intelligent cargo cabinet cabinet door whether locking.In another kind application, detection
Device 204 can be picture pick-up device, can in monitor rack user hand movement.In another kind application, detector 204 can be
Picture pick-up device is capable of the image of the outer user of monitor rack.In some applications, detector 204 can be detection mentioned above
The combination of device.It will be appreciated by those skilled in the art that being above only the possible some examples of exemplary illustration detector 204.
Other examples that can be realized same purpose in this field also can be applied to this.
Memory 205 can store software, data, log or their combination.Memory 205 can be internal storage
Or external memory.For example, memory can be volatile memory or nonvolatile memory, such as non-volatile random
Access the nonvolatile memory of memory (NVRAM), flash memory, magnetic disk storage, or such as static random access memory
The volatile memory of device (SRAM).
Fig. 3 is the schematic diagram according to the unmanned purchase system server of the utility model one embodiment.As shown, clothes
Business device includes one or more processors 301, communication interface 302 and memory 303.
Processor 301 can include one or more central processing unit (CPU), graphics processing unit (GPU), dedicated collection
At circuit (ASIC), field programmable gate array (FPGA) or their combination.Processor 301, which is able to carry out, is stored in memory
Software or computer-readable instruction in 303 is to execute method described herein or operation.Processor 301 can be with several differences
Mode implement.For example, processor 301 can include one or more embeded processors, processor core, miniature processing
Device, logic circuit, hardware finite state machines (FSM), digital signal processor (DSP) or their combination.
Communication interface 302 can include one or more wired or wireless communication interfaces.For example, communication interface network interface
Card, radio modem or wire line MODEM.In one application, communication interface 302 can be WiFi modulation /demodulation
Device.In other applications, communication interface 302 can be 3G modem, 4G modem, LTE modem, indigo plant
Dental assembly, radio frequency receiver, antenna or their combination.
Memory 302 can store software, data, log or their combination.Memory 302 can be internal storage
Or external memory.For example, memory can be volatile memory or nonvolatile memory, such as non-volatile random
Access the nonvolatile memory of memory (NVRAM), flash memory, magnetic disk storage, or such as static random access memory
The volatile memory of device (SRAM).
Fig. 4 is the flow chart according to the utility model one embodiment application gravity sensing and image recognition commodity.Such as figure
It is shown, include the following steps: using gravity sensing and the method for image recognition commodity 400
In step 410, identification inventory is generated based on the data from pattern recognition device.In some embodiments,
Pattern recognition device can be camera.Camera can be 360 ° of full-view cameras or wide-angle camera, be also possible to common
Camera.The Intelligent cargo cabinet of the utility model may include one or more cameras, can be with all in identification intelligent counter
Commodity.Camera can be distributed in the liner of Intelligent cargo cabinet case or around cabinet case.
One embodiment according to the present utility model, pattern recognition device can be opened when gravity sensor changes
It is dynamic.When gravity sensor changes, user is taking and is putting back to commodity.At this moment it can star pattern recognition device to know
The commodity that other user takes or puts back to.
Another embodiment according to the present utility model opens Intelligent cargo cabinet in user to guarantee the accuracy of identification
Cabinet door after i.e. starting pattern recognition device, start recorded video.For example, after user opens cabinet door, door lock state detector
It identifies that cabinet door is in the open state, transmits a signal to processor.Processor starts camera, starts recorded video.Work as user
After closing cabinet door, door lock state detector identifies that cabinet door is in close state, and transmits a signal to processor.Processor closing is taken the photograph
As head, terminate the recording of video.The cabinet door for thus obtaining one section of Intelligent cargo cabinet opens and closes the video of period.By cutting
Take the image in video that can obtain the image for commodity identification.It in some embodiments, can be between regular time
Every interception image, to obtain complete user action.After identifying that user takes or puts back to commodity, identification user take or
The commodity put back to.In some embodiments, can intercept gravity sensor it is changed when front and back the predetermined time image, from
And identify the commodity that user takes or puts back to.In the present embodiment, interception image can locally be carried out in Intelligent cargo cabinet, can also
To carry out on the server.
One embodiment according to the present utility model, in order to simplify algorithm, improve accuracy, can not consider to take or
Put back to the type for acting and only identifying commodity.As long as there are commodity in user hand in image, will make containing the image of this commodity
For image to be identified.Entire logic and identification process can be greatly simplified in this way.
In some embodiments, it is identified using artificial intelligence model for the image from pattern recognition device, i.e.,
Housebroken commodity in commodity and model in image are matched, and according to matching degree will likely commodity be ranked up.
In some instances, if matching degree is greater than scheduled threshold value, then it is assumed that successful match, it is raw according to the commodity of all successful match
At an inventory.In other examples, after sorting from large to small according to matching degree, scheduled former positions are considered matching
Then success generates an inventory further according to the commodity of all successful match.In some embodiments, allow primary identification
A variety of commodity out.
In some embodiments, the commodity if user repeatedly takes may include taking every time in the inventory identified
The type of merchandize taken；Or inventory is the merging recognition result of each type of merchandize of taking.It again alternatively, can in inventory
With regardless of the number taken, and all types of merchandize taken are incorporated as recognition result.
In step 420, grouping of commodities is generated based on the weight change from gravity sensor.Gravity sensor is mounted on Sheng
It puts in the pallet of commodity.Gravity sensor can be constantly in working condition.After user takes or puts back to commodity, gravity sensitive
Device can obtain the variation of weight.In some embodiments, if same pallet is there are many commodity, user once may just be taken
A variety of commodity, therefore the variation of weight may be the combination of a variety of commodity weights.In some embodiments, even if in same pallet
Only a kind of commodity, user may also once take more than one piece commodity, therefore the variation of weight may be the combination of more than one piece commodity.When
So, the variation of weight is also likely to be the combination of a variety of commodity of more than one piece.Since the weight of every commodity is known or can be estimated
, then may obtain one or more groupings of commodities according to the variation of weight.It will be appreciated by those skilled in the art that here
Grouping of commodities include the case where an a kind of commodity.
One embodiment according to the present utility model, in order to simplify algorithm, gravity sensor only obtains Intelligent cargo cabinet cabinet door
Weight change between weight before opening and the weight after cabinet door closing.Grouping of commodities is generated according to this weight change.This
Sample can greatly simplify algorithm and identification process.
In step 430, inventory is matched with grouping of commodities, obtains user and take the type and quantity of commodity.
For example, the type of merchandize and its similarity identified in step 410 is as follows:
Laughable 80%, potato chips 60%, mineral water 40%.
If similarity given threshold is 50%, it is as follows to generate inventory:
Laughable, potato chips；
Commodity weight variation at step 420 is as follows:
Weight change before and after opening the door: 455 grams；Grouping of commodities is as follows:
1 bottle of cola；
1 bag of packed melon seeds of+1 bag of packed dried plum；
+ 1 bag of chewing gum of 2 bags of packed melon seeds.
Inventory is matched one by one with the type in grouping of commodities, user is obtained and takes the type and quantity of commodity, i.e.,
The commodity that user takes are 1 bottle of cola.
In step 440, order is generated according to the take type and quantity of commodity of user.In some embodiments, if with
Family is again turned on cabinet door when commodity to be put back to or taken again commodity, obtains the commodity that user takes again.Then according to twice
The commodity adjustment order taken, or cancel an order.
One embodiment according to the present utility model, the method for the present embodiment can both carry out or in intelligence in server
It can counter locally progress.
Fig. 5 is according to the utility model one embodiment equipped with gravity sensor and pattern recognition device Intelligent cargo cabinet
Structural schematic diagram.As shown, Intelligent cargo cabinet 500 includes liner 501, multiple camera 502-507, gravity sensing pallet 508-
511.Under the control of Intelligent cargo cabinet processor, multiple camera 502-507 and gravity sensing pallet 505-511 cooperate,
Commodity of making an inventory are combined to, with more accurate and quickly generate order.
In order to increase the accuracy rate of image recognition, camera 502-507 be mounted in liner and towards gravity sensing pallet
On commodity.In some embodiments, camera 502-507 is arranged close to the side of Intelligent cargo cabinet cabinet door.Camera 502-
507 can not only monitor the commodity for being lifted or putting down above gravity sensing pallet, can also monitor user's Intelligent cargo cabinet cabinet door
The commodity that nearby users are held.
In some embodiments, liner 501 includes multilayer.One embodiment according to the present utility model, liner 501 it is every
One layer may include 1-2 camera, to absorb the commodity picked up or put down from multiple angles.Multiple cameras are not uniform
Distribution, each camera are responsible for a certain range, guarantee in counter commodity all within image pickup scope.As shown, for
Top layer is respectively set camera in the upper left corner and the upper right corner and overlooks shooting；For middle layer, set respectively in the lower left corner and the lower right corner
Camera is set, one of camera overlooks shooting and another camera looks up shooting；And for bottom, in the lower left corner and
The lower right corner is respectively set camera and looks up shooting.Wherein, the shooting angle of the camera of adjacent middle layer is arranged alternately, with covering
More perspective prevents from being blocked by people or other articles.In some embodiments, might not each layer camera is all set.
It may include one layer or two layers of not set any camera being provided between two layers of camera, and image can't be caused
Identify difficult problem.
In some embodiments, every layer of liner 501 includes a gravity sensing pallet.As shown, in 4 layers of liner
Including 4 gravity sensing pallet 508-511.Each in gravity sensing pallet 508-511 includes one or more gravity sensors.
One or more gravity sensors cooperate, and detect the weight change of commodity in upper fray.
Fig. 6 is the gravity sensing tray structure diagram according to the utility model one embodiment.As shown, gravity-feed tank
Answering pallet 600 includes: pallet 602, gravity sensor bracket 603, gravity sensor 604, gravity sensor pedestal 605 and support
It tries to get to the heart of a matter seat 606.Pallet 602 can be one piece of rectangular slab, and edge is bent downwardly.Pallet 602 is dimensioned slightly smaller than basetray
606.Pallet 602 can be divided into multiple regions, and different commodity are placed in each region.
Gravity sensor bracket 603 is connected between pallet 602 and gravity sensor 604.Gravity sensor bracket 603
Generally horizontal, upper part and pallet 602 are fixed, and lower part and gravity sensor 604 are fixed, expand gravity sensor 604
With the contact area of pallet 602 so that weight measurement is more accurate.Gravity sensor bracket 603 and gravity sensor 604
Fixed point is located at the center of gravity sensor bracket 603.
The generally Z-shaped of gravity sensor 606 is so that structure is more stable.The setting of gravity sensor pedestal 605 is in weight
604 lower section of force snesor is simultaneously fixed thereto, it is possible thereby to increase the contact surface between gravity sensor 604 and basetray 606
Product is able to bear pressure and indeformable, guarantees that gravity sensor 604 can work normally.Gravity sensor pedestal 605 is fixed
On basetray 606.The generally U-shaped of basetray 606, thus by gravity sensor bracket 603,604 and of gravity sensor
Gravity sensor pedestal 605 accommodate with wherein.
In some embodiments of the utility model, gravity sensing pallet 600 may include multiple being arranged in a similar manner
Gravity sensor 604, be separately positioned under the different zones of pallet 602, the common change for detecting commodity weight on pallet 602
Change, improves the accuracy of weight detections.
Above-described embodiment is only for illustration of the utility model, and is not limitations of the present invention, related technology
The those of ordinary skill in field can also make a variety of changes and modification in the case where not departing from the scope of the utility model, because
This, all equivalent technical solutions also should belong to scope disclosed by the utility model.
Claims (9)
1. a kind of Intelligent cargo cabinet, comprising:
Processor；
Pattern recognition device is connected to the processor and is configured to obtain the image that user took or put back to commodity；
Gravity sensor is connected to the processor the weight change for being configured to obtain commodity in Intelligent cargo cabinet；
Wherein, Intelligent cargo cabinet includes multilayer, and described image identification device includes multiple cameras, in the multilayer of the Intelligent cargo cabinet
At least one layer includes one or more cameras；It further comprise one or more gravity sensing pallets, wherein gravity sensor
It is included in the gravity sensing pallet；The processor is based on taking or put back to commodity from described image identification device user
Image can generate inventory；Grouping of commodities can be generated based on the weight change from the gravity sensor；According to
The matching of the inventory and grouping of commodities can obtain user and take the type and quantity of commodity.
2. Intelligent cargo cabinet according to claim 1, which is characterized in that further comprise: communication interface is configured to send out
Send the weight detected in the gravity sensor when changing from the image of pattern recognition device.
3. Intelligent cargo cabinet according to claim 1, which is characterized in that further comprise: communication interface, since being configured
It is detected from the video between the Intelligent cargo cabinet cabinet door opening and closing of described image identification device in the gravity sensor
Weight change the image before or after the moment.
4. Intelligent cargo cabinet according to claim 1, which is characterized in that further comprise: communication interface, since being configured
It is intercepted at predetermined intervals from the video between the Intelligent cargo cabinet cabinet door opening and closing of described image identification device
Image.
5. Intelligent cargo cabinet according to claim 1, which is characterized in that wherein the multilayer of Intelligent cargo cabinet includes top layer, bottom
With at least one middle layer；Wherein the upper left corner and the upper right corner of the top layer are respectively set camera and overlook shooting；The centre
Camera is respectively set in the lower left corner and the lower right corner of layer, and one of camera overlooks shooting and another camera looks up bat
It takes the photograph；And the bottom the lower left corner and the lower right corner camera is respectively set and looks up shooting.
6. Intelligent cargo cabinet according to claim 5, which is characterized in that wherein the multilayer of Intelligent cargo cabinet include it is multiple it is described in
Interbed, wherein the shooting angle of the camera of the adjacent middle layer is arranged alternately.
7. Intelligent cargo cabinet according to claim 6, which is characterized in that the wherein top layer and middle layer, multiple middle layers
Between or middle layer and bottom between include not set camera middle layer.
8. Intelligent cargo cabinet according to claim 1, which is characterized in that the plurality of camera is positioned close to intelligence
The side of counter cabinet door.
9. Intelligent cargo cabinet according to claim 1, which is characterized in that wherein the gravity sensing pallet further include pallet,
Gravity sensor bracket, gravity sensor pedestal and basetray；Wherein pallet is arranged on gravity sensor bracket, gravity
Sensor stand is fixed on gravity sensor, and gravity sensor is mounted on gravity sensor pedestal, gravity sensor pedestal
It is fixed on basetray.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821758482.7U CN209328138U (en) | 2018-10-26 | 2018-10-26 | A kind of Intelligent cargo cabinet of application image identification device and gravity sensor |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821758482.7U CN209328138U (en) | 2018-10-26 | 2018-10-26 | A kind of Intelligent cargo cabinet of application image identification device and gravity sensor |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111667639A (en) * | 2020-05-28 | 2020-09-15 | 北京每日优鲜电子商务有限公司 | Book return service realization method and device and intelligent book cabinet |
| CN114743307A (en) * | 2022-04-14 | 2022-07-12 | 创新奇智(重庆)科技有限公司 | Commodity identification method and device for intelligent container, electronic equipment and storage medium |
| CN115424395A (en) * | 2022-11-04 | 2022-12-02 | 之江实验室 | Quantitative article safety management equipment and method |
-
2018
- 2018-10-26 CN CN201821758482.7U patent/CN209328138U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111667639A (en) * | 2020-05-28 | 2020-09-15 | 北京每日优鲜电子商务有限公司 | Book return service realization method and device and intelligent book cabinet |
| CN114743307A (en) * | 2022-04-14 | 2022-07-12 | 创新奇智(重庆)科技有限公司 | Commodity identification method and device for intelligent container, electronic equipment and storage medium |
| CN115424395A (en) * | 2022-11-04 | 2022-12-02 | 之江实验室 | Quantitative article safety management equipment and method |
| CN115424395B (en) * | 2022-11-04 | 2023-03-10 | 之江实验室 | Quantitative article safety management equipment and method |
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