CN108986173A - Building blocks detection device and detection method - Google Patents
Building blocks detection device and detection method Download PDFInfo
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- CN108986173A CN108986173A CN201811139956.4A CN201811139956A CN108986173A CN 108986173 A CN108986173 A CN 108986173A CN 201811139956 A CN201811139956 A CN 201811139956A CN 108986173 A CN108986173 A CN 108986173A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30204—Marker
- G06T2207/30208—Marker matrix
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30242—Counting objects in image
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Abstract
The present invention discloses a kind of building blocks detection device and detection method, and wherein detection device includes scaling board, handheld terminal and processor, and scaling board is pure color background color, including identification region and color color range reference identification, dimension reference mark；Handheld terminal is located above the scaling board, and for acquiring the building blocks image being placed on scaling board, and handheld terminal is connect with processor communication, for described image to be sent to processor.The configuration of the present invention is simple, principle are simple, it is only necessary to which accurately identifying and counting for building blocks can be realized using machine vision technique in a scaling board, a handheld terminal and processor with image collecting function and data-transformation facility；It is at low cost, it is easy to connect, it is not required in addition manufacture particular instrument or device.
Description
Technical field
The present invention relates to field of machine vision more particularly to a kind of building blocks detection devices and detection method.
Background technique
Recent years, with the rise of shared economy, shared bicycle, the communal space, shared housekeeping etc. enter into quickly
People's lives are developed rapidly using internet as medium all over the world.Shared toy especially building blocks are deep played
The favorite business model of family, by taking the high building blocks of pleasure as an example, a set of building blocks are expensive, and part might have several hundred, thousands of, share
Building blocks platform can provide a whole set of building blocks lease or the building blocks lease of certain shape, and the object for appreciation lower price of household can play more in this way
Kind building blocks can also lease building blocks independent assortment in bulk, can meet the needs of player to greatest extent.
But during object for appreciation especially building blocks quantity it is many in the case where, the missings of building blocks is unavoidable, but
Shape is different, color is different, the factors such as of different sizes due to having in building blocks, searches in hundreds and thousands of a building blocks scarce
It lost the building blocks of which kind of shape or color, lacked how many respectively, be very difficult.Toy leasing company of the U.S. develops
A weighing system, according to accurate weight differential, it is known that building blocks have probably lacked several pieces.But this mode is only rough
Estimation, can not learn quantity, specification of lacked building blocks etc..As building blocks share the development of industry, platform and player are leased
All there is an urgent need to a kind of accurate building blocks statistical method and systems.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of building blocks identification device, and building blocks hire out quotient and player can be at any time
Building blocks are counted, are checked.
A kind of building blocks detection device, including scaling board, handheld terminal and processor, the scaling board are pure color background color, packet
Identification region and color color range reference identification, dimension reference mark are included, for calibration for cameras parameter, determines physical size and pixel
Between conversion relation；The handheld terminal is located above the scaling board, for acquiring the building blocks being placed on the scaling board
Image, and the handheld terminal is connect with the processor communication, for described image to be sent to the processor.Processor
Identification and classification processing are carried out to the building blocks in image, obtain statistical result.
Further, the calibration back has camera parameter to demarcate pattern.It common are black and white gridiron pattern or black and white dot
Array.
Further, the building blocks on the scaling board are located in the identification region, there is gap between any two, and the gap is big
Small to meet condition: gap is imaged not less than three pixels in described image.Image can be made to be easier to identify in this way, at raising
Manage the efficiency of device subsequent processing.
Further, further include light source, provide illumination when acquiring image for the handheld terminal when illumination deficiency, it is described
Light source is shadowless lamp.The light source can be fixedly installed in above scaling board, be also possible to moveable lighting device.
Further, further include a bracket, when acquiring the building blocks image on the scaling board be used to place or clamp described in
Handheld terminal.The problems such as bracket overcomes operator's hand shaking, operation handheld terminal is inconvenient.Handheld terminal is placed on consolidating for bracket
Determine in portion, image-capture field should be able to cover entire scaling board, and the image acquired meets the standard of processor processing.
Further, the connection type of the handheld terminal and the processor has following three kinds: the two wired connection passes through
Internet connection and/or by communication network connect, different data transfer modes is selected according to network quality.
Building blocks detection device of the invention compared with prior art, has the advantages that structure is simple, principle letter
It is single, it is only necessary to which that a scaling board, a handheld terminal and processor with image collecting function and data-transformation facility utilize
Accurately identifying and counting for building blocks can be realized in machine vision technique；It is at low cost, it is easy to connect, it is not required in addition manufacture specific instrument
Device or device.
The invention further relates to a kind of methods using above-mentioned apparatus detection building blocks, comprising the following steps:
(1) handheld terminal obtains a whole set of building blocks information, the quantity including classified catalogue and every class building blocks；
(2) handheld terminal acquisition is located at the building blocks image on scaling board；The scaling board be pure color background color, including identification region and
Color color range reference identification, dimension reference mark；Building blocks on the scaling board are after building blocks to be detected are divided into several heaps, with
Machine is sprinkling upon a pile in the identification region of scaling board, and the building blocks on the scaling board have gap, the gap size between any two
Condition need to be met: gap is imaged not less than three pixels in described image；
(3) image is sent to processor by handheld terminal, and the building blocks in image are identified and handled for processor: according to point
Class catalogue is classified to building blocks, is counted；
(4) step (2) ~ step (3) are repeated, keep the image of building blocks to be detected all collected and is sent to processor identification and place
Reason；
(5) handheld terminal exports statistical result, and the statistical result is: processor is long-pending by the processing result of step (4) and the whole series
The wooden information is compared, if building blocks are complete, it is concluded that the complete conclusion of building blocks；If building blocks, which have, lacks the class, it is concluded that lacked building blocks
Other and quantity.
Further, step (1) is located at after step (4).
Further, further comprising the steps of before or after step (1): starting light source is being adopted for the handheld terminal
Illumination is provided when collecting image, the light source is shadowless lamp.
Further, further include step (6) after step (5): if building blocks have missing, user passes through operation handheld terminal,
It sends purchase order and gives building blocks provider, the handheld terminal is connect with the server of building blocks provider by Internet.
Further, it is specifically to scan in a whole set of building blocks outer packing that handheld terminal, which obtains a whole set of building blocks information, in step (1)
Two dimensional code or sequence number, or sequence number is manually entered on handheld terminal.
Building blocks detection method of the invention, has the advantages that easy to operate, only need to be scattered building blocks and is marking
In identification region on fixed board, building blocks image is acquired by handheld terminal, subsequent processing is all automatically performed by processor, and will knot
Fruit is pushed on handheld terminal；Recognition efficiency is high, and error is small.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of one embodiment of building blocks detection device of the present invention；
Fig. 2 is scaling board schematic diagram used in Fig. 1 embodiment；
Fig. 3 is the schematic rear view of another scaling board；
Fig. 4 is the structural schematic diagram of another embodiment of building blocks detection device of the present invention；
Fig. 5 is the flow chart of one embodiment of building blocks detection method of the present invention
Fig. 6 is the flow chart of another embodiment of building blocks detection method of the present invention；
Appended drawing reference:
1-scaling board, 2-handheld terminals, 3-processors, 4-light sources, 11-identification regions, 12-color color ranges are with reference to mark
Know, 13-dimension references mark, 21-cameras, 5-building blocks to be detected.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Embodiment 1
As shown in Figure 1, building blocks detection device is made of scaling board 1, handheld terminal 2, processor 3.Scaling board 1 is to be checked for placing
The building blocks and corrective lens of survey distort and color difference, and handheld terminal 2 is located at 1 top of scaling board, for acquiring building blocks image, i.e., hand-held
Terminal 2 need to have camera function.Handheld terminal 2 and processor 3 communicate to connect, to send an image to processor 3.
Fig. 2 show the shape of the scaling board generallyd use, and scaling board 1 is pure color background color, including identification region 11 and face
Color color range reference identification 12, dimension reference mark 13.Identification region 11 is used to place building blocks, and color color range reference marker 12 is product
Building blocks color in the wooden image provides standard, and dimension reference mark 13 is the color lump of known dimensions, is in acquired image
Building blocks 5 to be detected provide dimension reference.
Handheld terminal 2 is equipped with camera 21 and communication module, connect with processor 3, the building blocks image of acquisition is sent to
Processor 3.
Processor 3 identifies every block of building blocks in building blocks image, and is classified according to color, shape, size, to every class
Building blocks quantity counted.
In use, building blocks to be detected are randomly divided into several heaps, one is taken to be deposited in the identification region 11 of scaling board 1,
Operator takes pictures to the building blocks in identification region 11 with handheld terminal 2, and image is sent to processor 3, and processor 3 is automatic right
Building blocks identification in image, classification, statistics, finally return to handheld terminal 2 for statistical result, handheld terminal 2 is typically provided with aobvious
Display screen.
Embodiment 2
It is with the difference of embodiment 1, it is herein black and white chessboard grid pattern that 1 back side of scaling board, which has camera parameter to demarcate pattern,.
In use, the back side up of scaling board 1 is first demarcated the camera parameter of handheld terminal 2, then scaling board 1 is climbed over
Come, it is made to face up；Building blocks to be detected are randomly divided into several heaps again, take an identification region 11 for being deposited in scaling board 1
Interior, operator takes pictures to the building blocks in identification region 11 with handheld terminal 2, and image is sent to processor 3, and processor 3 is certainly
Dynamic that statistical result is finally returned to handheld terminal 2 to the building blocks identification in image, classification, statistics, handheld terminal 2 is usually set
There is display screen.
Embodiment 3
On the basis of embodiment 1 or 2, embodiment adds light sources 4, in the case where insufficient light, adopt for handheld terminal 2
Collect image and illumination is provided, there are commonly multi-angle light source and area sources for light source 4.Both it can be fixed on the top of scaling board 1, it can also be with
It is mobile, such as desk lamp and floor lamp, is mobile light source shown in Fig. 3, but regardless of structure, it is necessary to be shadowless lamp.
Embodiment 4
Unlike the first embodiment, embodiment adds brackets, for placing or clamping handheld terminal 2.Adjust the position of bracket
It sets and highly, makes the handheld terminal 2 being located on bracket that can easily acquire the building blocks image in identification region 11, and image meets
The condition that processor 3 can identify.
In above embodiments, it is generally the case that the building blocks on scaling board 1 are located in identification region 11, between having between any two
Not lower than three pixels are imaged in gap, the size in gap in the picture.Therefore, the building blocks on scaling board 1 cannot have overlapping, stick
Even, need operator that building blocks scatter manually, and it is made to meet above-mentioned condition.
In some embodiments, the connection type of handheld terminal 2 and processor 3 usually has following several:By having
Line mode connects, and advantage is that transmission speed is fast, is not influenced by network signal quality quality, and be divided into two kinds of situations: first is that place
Reason device 3 is integrated in inside handheld terminal 2, usually has the mobile phone and tablet computer of camera, but processing capacity is limited, cannot
Meet the detection of the more building blocks of number of components；Second is that processor 3 is connected with handheld terminal 2 by interfaces such as USB, handle at this time
Device 3 is located on PC or local server, and processing capacity greatly promotes, and alleviates the burden of handheld terminal 2.Pass through Internet
Connection, handheld terminal 2 is usually smart phone or tablet computer at this time, and processor 3 is located at network server or Cloud Server, this
Kind connection type maximizing mitigates the burden of handheld terminal 2, only need to take pictures and upload image, takes by network server or cloud
Business device powerful storage and operational capability can quickly handle large nuber of images, and with the development of network technology, transmit data and get over
Carry out more fast and stable.It is connected by communication networks such as 3G/4G, generally can not connect Intenet or network in handheld terminal 2
In the case where poor signal, communication network transmission image data is selected.Three of the above connection type can exist simultaneously, according to network
Signal condition and actual needs select suitable data delivering path.
Embodiment 5
It is detected using above-mentioned building blocks detection device, as shown in figure 4, needing according to the following steps:
S1, a whole set of building blocks information, the quantity including classified catalogue and every class building blocks, generally according to shape, size, color point are obtained
Class；
Building blocks to be detected are divided into several heaps by S2, operator, are sprinkling upon a pile in the identification region 11 of scaling board 1 at random, then
This heap building blocks is separated, makes not to be overlapped between them, be adhered, and have gap between any two, gap size is in image
Middle imaging is not less than three pixels；
S3, the building blocks image being located on scaling board 1 with the acquisition of handheld terminal 2；
S4, processor 3 are identified and are handled to image: being classified according to classified catalogue to building blocks, counted；
S5, S3 ~ S4 is repeated to every heap building blocks, is finished until all building blocks to be detected are counted；
S6, processor 3 are by statistical result compared with a whole set of building blocks information, if building blocks are complete, detection process terminates；If building blocks have
Missing, then processor 3 obtains the classification and quantity of lacked building blocks；
S7, statistical result are exported by handheld terminal 2, if building blocks are complete, show the complete conclusion of building blocks；If building blocks lack,
Then show scarce building blocks classification and quantity.
After wherein S1 can also be placed on S5, i.e., a whole set of building blocks information is obtained after building blocks to be detected have been counted, the two
The execution sequence of movement does not influence analytical judgment of the processor 3 to building blocks integrality.
Embodiment 6
Difference from Example 5 is, step S0, starting light source 4 are increased before or after S1, is existed for handheld terminal 2
Illumination is provided when acquiring building blocks image, light source 4 is shadowless lamp.Detection process is more demanding to illumination, requires under normal circumstances
Light source 4 is provided.
S0, starting light source 4 provide illumination when acquiring building blocks image for handheld terminal 2, and light source 4 is shadowless lamp；
S1, a whole set of building blocks information, the quantity including classified catalogue and every class building blocks, generally according to shape, size, color point are obtained
Class；
Building blocks to be detected are divided into several heaps by S2, operator, are sprinkling upon a pile in the identification region 11 of scaling board 1 at random, then
This heap building blocks is separated, makes not to be overlapped between them, be adhered, and have gap between any two, gap size is in image
Middle imaging is not less than three pixels；
S3, the building blocks image being located on scaling board 1 with the acquisition of handheld terminal 2；
S4, processor 3 are identified and are handled to image: being classified according to classified catalogue to building blocks, counted；
S5, S3 ~ S4 is repeated to every heap building blocks, is finished until all building blocks to be detected are counted；
S6, processor 3 are by statistical result compared with a whole set of building blocks information, if building blocks are complete, detection process terminates；If building blocks have
Missing, then processor 3 obtains the classification and quantity of lacked building blocks；
S7, statistical result are exported by handheld terminal 2, if building blocks are complete, show the complete conclusion of building blocks；If building blocks lack,
Then show scarce building blocks classification and quantity.
Embodiment 7
Difference with embodiment 5 and embodiment 6 is, after step s 7, increases S8, in the case where building blocks have missing,
User sends purchase order and gives building blocks provider by operation handheld terminal 2.Such as there is " purchase in the display screen of handheld terminal 2
Buy " options of printed words, operator issues purchase order, handheld terminal 2 and building blocks needed to provide at this time by choosing the option
For the server of quotient by Internet connection, purchasing process is identical as shopping at network in the prior art, repeats no more.Fig. 5 is
A kind of process of embodiment of the present embodiment.
From the perspective of processor 3, after processor 3 handles the statistics instruction that handheld terminal 2 is sent, the knowledge of building blocks is carried out
It not and counts, then is compared with the quantity of a whole set of building blocks and classification, if building blocks have missing, generate payment inventry and be sent to
Handheld terminal 2, after handheld terminal 2 receives the statistical result that processor 3 is sent back to, user verifies payment inventry and pays, then
Wait building blocks provider by lacked building blocks send or by other have this users of scarce building blocks be sent to the specified door of building blocks service provider
Shop.
In 5 ~ embodiment of embodiment 7, the method that handheld terminal 2 described in S1 obtains a whole set of building blocks information can be and sweep
The two dimensional code or sequence number in a whole set of building blocks outer packing are retouched, or is manually entered sequence number on handheld terminal 2.
The technical means disclosed in the embodiments of the present invention is not limited only to technological means disclosed in above embodiment, further includes
Technical solution consisting of any combination of the above technical features.
Claims (10)
1. a kind of building blocks detection device, it is characterised in that: including scaling board, handheld terminal and processor, the scaling board is pure
Color background color, including identification region and color color range reference identification, dimension reference mark；The handheld terminal is located at the scaling board
Top, for acquiring the building blocks image being placed on the scaling board, and the handheld terminal is connect with the processor communication,
For described image to be sent to the processor.
2. building blocks detection device according to claim 1, it is characterised in that: the calibration back has camera parameter calibration
Pattern.
3. building blocks detection device according to claim 1, it is characterised in that: the building blocks on the scaling board are located at the knowledge
In other region, there is gap between any two, the gap size need to meet condition: gap is imaged not less than three in described image
Pixel.
4. described in any item building blocks detection devices according to claim 1 ~ 3, it is characterised in that: it further include a bracket, acquisition
It is used to place or clamp the handheld terminal when building blocks image on the scaling board.
5. described in any item building blocks detection devices according to claim 1 ~ 3, it is characterised in that: further include light source, be the hand
It holds terminal and illumination is provided when acquiring image, the light source is shadowless lamp.
6. a kind of building blocks detection method, it is characterised in that: include the following steps
(1) handheld terminal obtains a whole set of building blocks information, the quantity including classified catalogue and every class building blocks；
(2) handheld terminal acquisition be located at scaling board on building blocks image, the scaling board be pure color background color, including identification region and
Color color range reference identification, dimension reference mark；Building blocks on the scaling board are after building blocks to be detected are divided into several heaps, with
Machine is sprinkling upon a pile in the identification region of scaling board, and the building blocks on the scaling board have gap, the gap size between any two
Condition need to be met: gap is imaged not less than three pixels in described image；
(3) image is sent to processor by handheld terminal, and the building blocks in image are identified and handled for processor: according to point
Class catalogue is classified to building blocks, is counted；
(4) step (2) ~ step (3) are repeated, keep the images of building blocks to be detected all collected and be sent to processor carry out identification and
Processing；
(5) handheld terminal exports statistical result, and the statistical result is: processor is long-pending by the processing result of step (4) and the whole series
The wooden information is compared, if building blocks are complete, it is concluded that the complete conclusion of building blocks；If building blocks, which have, lacks the class, it is concluded that lacked building blocks
Other and quantity.
7. building blocks detection method according to claim 5, it is characterised in that: step (1) is located at after step (4).
8. building blocks detection method according to claim 5, it is characterised in that: before or after step (1), further include with
Lower step: starting light source provides illumination when acquiring image for the handheld terminal, and the light source is shadowless lamp.
9. building blocks detection method according to claim 5, it is characterised in that: after the step (5) further include step (6):
If building blocks have missing, user sends purchase order and gives building blocks provider, the handheld terminal and building blocks by operation handheld terminal
The server of provider passes through Internet connection.
10. building blocks detection method according to claim 5, it is characterised in that: handheld terminal obtains a whole set of product in step (1)
The wooden information is specifically the two dimensional code or sequence number scanned in a whole set of building blocks outer packing, or sequence is manually entered on handheld terminal
Number.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811139956.4A CN108986173A (en) | 2018-09-28 | 2018-09-28 | Building blocks detection device and detection method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811139956.4A CN108986173A (en) | 2018-09-28 | 2018-09-28 | Building blocks detection device and detection method |
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| CN108986173A true CN108986173A (en) | 2018-12-11 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111369690A (en) * | 2018-12-26 | 2020-07-03 | 深圳市优必选科技有限公司 | Building block model generation method and device, terminal and computer readable storage medium |
| CN115364494A (en) * | 2022-07-26 | 2022-11-22 | 福州市鹭羽智能科技有限公司 | Automatic stacking device and method for building blocks based on patterns |
-
2018
- 2018-09-28 CN CN201811139956.4A patent/CN108986173A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111369690A (en) * | 2018-12-26 | 2020-07-03 | 深圳市优必选科技有限公司 | Building block model generation method and device, terminal and computer readable storage medium |
| CN115364494A (en) * | 2022-07-26 | 2022-11-22 | 福州市鹭羽智能科技有限公司 | Automatic stacking device and method for building blocks based on patterns |
| CN115364494B (en) * | 2022-07-26 | 2024-02-23 | 福州市鹭羽智能科技有限公司 | Automatic stacking device and method for building blocks based on patterns |
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