CN113114877B - Multi-bottle rotation acquisition and recognition method and equipment - Google Patents
Multi-bottle rotation acquisition and recognition method and equipment Download PDFInfo
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- CN113114877B CN113114877B CN202110203723.1A CN202110203723A CN113114877B CN 113114877 B CN113114877 B CN 113114877B CN 202110203723 A CN202110203723 A CN 202110203723A CN 113114877 B CN113114877 B CN 113114877B
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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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G15/00—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration
- B65G15/10—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration comprising two or more co-operating endless surfaces with parallel longitudinal axes, or a multiplicity of parallel elements, e.g. ropes defining an endless surface
- B65G15/12—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration comprising two or more co-operating endless surfaces with parallel longitudinal axes, or a multiplicity of parallel elements, e.g. ropes defining an endless surface with two or more endless belts
- B65G15/14—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration comprising two or more co-operating endless surfaces with parallel longitudinal axes, or a multiplicity of parallel elements, e.g. ropes defining an endless surface with two or more endless belts the load being conveyed between the belts
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1417—2D bar codes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- H—ELECTRICITY
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/265—Mixing
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Abstract
The invention discloses a multi-bottle rotary acquisition and identification method and equipment, wherein the method comprises the following steps of S1: controlling the transport equipment to transport at least two targets to the acquisition area at the same time, and controlling the targets to rotate while advancing; a tag code is arranged on the side surface of each target object; s2: receiving in-place information sent by detection equipment, and controlling image pickup equipment facing the acquisition area to continuously shoot all targets in the acquisition area for a plurality of times so as to generate a continuous group diagram; s3: sequentially grouping each picture in the continuous group of pictures according to the sequence of the target objects entering the acquisition area, and generating a display surface picture of each target object; s4: and identifying and decoding the display surface diagram of each object, and obtaining the content of the tag code on the display surface diagram of each object according to the identification result. The invention can greatly improve the picture acquisition efficiency and the acquisition recognition rate.
Description
Technical Field
The invention relates to the technical field of image acquisition, in particular to a multi-bottle rotary acquisition identification method and equipment.
Background
At present, a label code on a penicillin bottle body is generally photographed by an industrial camera in a visual field range to obtain a bottle body label image, and then the image is analyzed to obtain current bottle label two-dimensional code data; however, in the process, the bottle always keeps a moving state, and the orientation of the label code on the bottle body is not fixed, so that the success rate of collecting the label on the bottle body is low; and only can take a picture to a bottle when gathering at every turn and take a picture, can only have a bottle to get into in the camera field of vision promptly, lead to the transportation of bottle slower, gather inefficiency, and then influence production efficiency.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the invention is to provide a multi-bottle rotary acquisition identification method, which can greatly improve the picture acquisition efficiency and the acquisition recognition rate.
The second object of the present invention is to provide an electronic device.
One of the purposes of the invention is realized by adopting the following technical scheme:
a multi-bottle rotational collection identification method comprising:
step S1: controlling the transport equipment to transport at least two targets to the acquisition area at the same time, and controlling the targets to rotate while advancing; a tag code is arranged on the side surface of each target object;
step S2: receiving in-place information sent by detection equipment, and controlling image pickup equipment facing the acquisition area to continuously shoot all targets in the acquisition area for a plurality of times so as to generate a continuous group diagram;
step S3: sequentially grouping each picture in the continuous group of pictures according to the sequence of the target objects entering the acquisition area, and generating a display surface picture of each target object;
step S4: and identifying and decoding the display surface diagram of each object, and obtaining the content of the tag code on the display surface diagram of each object according to the identification result.
Further, the working area length of the collecting area is 200-400 mm, and the distance between adjacent targets in the collecting area is maintained between 90-110 mm.
Further, the number of continuous shooting times of the image capturing apparatus is equal to 10 of the number of objects simultaneously entering the acquisition area.
Further, the transport device transports 150-250 targets through the collection area per minute.
Further, the conveying equipment is a single-side clamping belt conveyor, and the single-side clamping belt conveyor drives the target object to advance and simultaneously makes the target object rotate by using the friction force of the clamping belt.
Further, the method for generating the spanners of each object in step S3 includes:
the imaging equipment continuously shoots the plurality of targets after the targets enter the acquisition area, so that each shot picture contains a local image of each target, and the local images of the same position in each shot picture are extracted according to the sequence of the targets entering the acquisition area and then spliced to generate the display surface image of each target.
Further, when the partial graphs are spliced, the method further comprises: and judging whether an overlapping area exists between the two partial images, if so, fusing the overlapping areas of the two partial images and then splicing.
Further, a rejecting device is arranged in front of the collecting area, label codes in the display face images are identified after the display face images of each target object are obtained, and if identification is unsuccessful, the rejecting device is controlled to reject the target objects.
The second purpose of the invention is realized by adopting the following technical scheme:
an electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, wherein the processor implements the multi-bottle rotation acquisition identification method when executing the computer program.
Compared with the prior art, the invention has the beneficial effects that:
at least two targets enter the acquisition area at the same time, a plurality of pictures are taken continuously by the targets to obtain a plurality of pictures to serve as decoding bases, pictures of each target in each picture are decoded to obtain a display picture of each target, the acquisition efficiency can be greatly improved, and meanwhile, the decoding accuracy can be improved.
Drawings
FIG. 1 is a flow chart of a multi-bottle rotation acquisition identification method of the present invention;
fig. 2 is a schematic overall flow chart of the object transportation process of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and detailed description, wherein it is to be understood that, on the premise of no conflict, the following embodiments or technical features may be arbitrarily combined to form new embodiments.
Example 1
In this embodiment, a penicillin bottle is used as a target object, a label code is set on a bottle body of each target object, the label code can be a two-dimensional code or a bar code, various information of the target object, such as production information, use information, positioning information, quality information and the like, is recorded by using the label code, and corresponding information is obtained by identifying the label code, so that a corresponding decision is made.
As shown in fig. 1 and 2, the method of this embodiment specifically includes the following steps:
step S1: and controlling the conveying equipment to simultaneously convey at least two targets to the acquisition area, and controlling the targets to rotate while advancing.
In this embodiment, the transporting device may be a single-sided clamping belt conveyor, and when the single-sided clamping belt conveyor transports the target object through its single-sided clamping belt, the target object rotates in the advancing process by using the friction force of the clamping belt, and meanwhile, the single-sided clamping belt is used to avoid the clamping belt from shielding the tag code on the side surface of the target object, so as to ensure that the image capturing device can clearly capture the side surface of the target object. In addition, the conveying equipment can also be a conveying belt, a plurality of rotating stations driven by the rotating mechanism are arranged on the conveying belt, one rotating station corresponds to one target object, and the rotating mechanism is started to drive the target object to rotate in the advancing process of the conveying belt.
Dividing a partial region of the transport device into acquisition regions, wherein each target object needs to pass through the acquisition regions when advancing in the transport device; the working area length of the acquisition area is 200-400 mm, at least two targets can enter the acquisition area at the same time, and the position right facing the acquisition area is provided with the image pickup equipment, and the shooting range of the image pickup equipment can cover the whole acquisition area, so that the image pickup equipment can shoot the side positions of a plurality of targets in the acquisition area at the same time. The distance between adjacent targets in the acquisition area is maintained at 90-110 mm, so that the situation that the targets in the acquisition area are too crowded, and the adjacent targets are blocked mutually to influence the acquisition accuracy is avoided.
Step S2: and receiving in-place information sent by the detection equipment, and controlling the image pickup equipment facing the acquisition area to continuously shoot all the targets in the acquisition area for a plurality of times so as to generate a continuous group graph.
The detection equipment is arranged on the acquisition area and can detect whether a target object enters the acquisition area; the detection device can be a laser sensor, when a target object enters the acquisition area, laser emitted by the laser sensor is shielded, and when a receiving end of the laser sensor cannot receive a signal, the target object is considered to be in place, and at the moment, in-place information is emitted. When the in-place information is received, the imaging device is controlled to continuously shoot a plurality of targets in the acquisition area. The number of continuous shooting times of the image pickup device is equal to 10 of the number of the targets entering the acquisition area at the same time, for example, the acquisition area enters four targets at the same time, the stable distance between the targets is kept to be about 100mm, after the four targets are in place, the image pickup device is controlled to shoot forty pictures of the four targets, the shooting number is increased compared with the traditional shooting number, the picture decoding base number is increased, a better decoding effect can be obtained, and the acquisition reading rate is improved.
Step S3: and sequentially grouping each picture in the continuous group of pictures according to the sequence of the target objects entering the acquisition area, and generating the display surface picture of each target object.
When forty continuous group images are obtained, each image in the continuous group images contains the partial side images of four targets, and in the process of sequentially grouping the images, the partial images at the same position in each image are extracted according to the sequence of the targets entering the acquisition area and then spliced to generate the display surface image of each target; for example: and after the first partial images arranged in each picture are extracted, the partial images are spliced together, so that the side expansion images of the first arranged target objects can be obtained. And similarly, decoding forty pictures to obtain the complete display surface diagram of the four targets.
In the process of splicing the partial images, whether an overlapping area exists between the two partial images is also required to be judged, if so, the overlapping areas of the two partial images are fused and then spliced, so that the situation that the label code is repeated in the display image is avoided, and the identification accuracy of the label code can be improved.
Step S4: and identifying and decoding the display surface diagram of each object, and obtaining the content of the tag code on the display surface diagram of each object according to the identification result.
Because the display face diagram of each object necessarily contains the label code on the object, the information recorded by the label code can be obtained after the identification and decoding of the display face diagram of each object. The front of the collecting area of the transportation equipment is provided with a removing device, and the picture identification and decoding process can be completed after the image capturing equipment collects the picture of the target object and before the picture reaches the removing device. If the identification of the tag code in the display surface graph is unsuccessful, the representative image acquisition or decoding process fails, and the rejecting device is controlled to reject the target object; or the tag code is recorded with the quality information of the object, and the quality information of the object is obtained as unqualified after the identification is finished, and the rejecting device can be controlled to reject the object at the moment.
In this embodiment, the length of the working area of the acquisition area is closely related to the number of pictures photographed by the image capturing device, the photographing quality of the image capturing device, and the transportation speed of the target object; in general, the higher the pixels of the image capturing apparatus are, the larger the field of view is, the longer the working area is, and the more pictures are obtained by photographing, but the higher the number of pixels of the pictures, the lower the decoding efficiency and success rate will be, so that the higher the number of pixels of the non-camera is, the longer the working area or the faster the speed is, and the higher the recognition success rate is. According to the embodiment, through repeated calculation and testing, the working area length of 400mm and a 200-ten-thousand-pixel camera are adopted as the optimal configuration at present, the transportation equipment is controlled to transport 150-250 targets per minute to pass through the acquisition area, under the configuration, four targets enter the acquisition area at the same time, the image pickup equipment continuously shoots forty pictures on the acquisition area, namely forty decoding pictures are taken as decoding bases for each target, the optimal decoding effect can be obtained, the acquisition recognition rate is improved, meanwhile, the transportation efficiency of the targets is also improved, and the highest speed of practical application can be realized. Meanwhile, according to different application conditions, different configuration lengths and pixel cameras can be adopted to achieve corresponding purposes.
Example two
The embodiment provides an electronic device, which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the multi-bottle rotation acquisition identification method in the first embodiment when executing the computer program.
The apparatus in this embodiment and the method in the foregoing embodiment are based on two aspects under the same inventive concept, and the detailed description of the method implementation process has been described above, so those skilled in the art can clearly understand the structure and implementation process of the apparatus in this embodiment according to the foregoing description, and for brevity of the description, the description will not be repeated here.
The above embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but any insubstantial changes and substitutions made by those skilled in the art on the basis of the present invention are intended to be within the scope of the present invention as claimed.
Claims (8)
1. The multi-bottle rotary acquisition and identification method is characterized by comprising the following steps of:
step S1: controlling the transport equipment to transport at least two targets to the acquisition area at the same time, and controlling the targets to rotate while advancing; a tag code is arranged on the side surface of each target object;
step S2: receiving in-place information sent by detection equipment, and controlling image pickup equipment facing the acquisition area to continuously shoot all targets in the acquisition area for a plurality of times so as to generate a continuous group diagram;
step S3: sequentially grouping each picture in the continuous group of pictures according to the sequence of the target objects entering the acquisition area, and generating a display surface picture of each target object;
the method for generating the display map of each target object comprises the following steps:
the method comprises the steps that after a plurality of targets enter an acquisition area, camera equipment continuously shoots the targets, so that each shot picture contains a local image of each target, and the local images of the same position in each shot picture are extracted according to the sequence of the targets entering the acquisition area and then spliced to generate a display image of each target;
step S4: and identifying and decoding the display surface diagram of each object, and obtaining the content of the tag code on the display surface diagram of each object according to the identification result.
2. The multi-bottle rotational collection and identification method of claim 1, wherein the working area length of the collection area is 200-400 mm and the spacing between adjacent targets in the collection area is maintained between 90-110 mm.
3. The multi-bottle rotation acquisition identification method according to claim 1, wherein the number of continuous shots by the image pickup apparatus is equal to 10 of the number of objects simultaneously entering the acquisition region.
4. The multi-bottle rotational collection identification method of claim 1, wherein the transport device transports 150-250 targets per minute through the collection area.
5. The multi-bottle rotation collection and identification method according to claim 1, wherein the conveying equipment is a single-side clamping belt conveyor, and the single-side clamping belt conveyor drives the target to advance and simultaneously rotates the target by using the friction force of the clamping belt.
6. The multi-bottle rotation collection and identification method according to claim 1, wherein when the partial figures are spliced, the method further comprises: and judging whether an overlapping area exists between the two partial images, if so, fusing the overlapping areas of the two partial images and then splicing.
7. The multi-bottle rotary acquisition and recognition method according to claim 1, wherein a rejecting device is arranged in front of the acquisition area, label codes in the display surface images are recognized after the display surface images of each target object are obtained, and if the recognition is unsuccessful, the rejecting device is controlled to reject the target object.
8. An electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the processor implementing the multi-bottle spin acquisition identification method of any one of claims 1 to 7 when the computer program is executed by the processor.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020156466A1 (en) * | 2019-01-31 | 2020-08-06 | 维沃移动通信有限公司 | Photographing method and terminal device |
| CN111798374A (en) * | 2020-06-24 | 2020-10-20 | 浙江大华技术股份有限公司 | Image splicing method, device, equipment and medium |
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| JP4208615B2 (en) * | 2003-03-24 | 2009-01-14 | 富士機械製造株式会社 | Image processing method and image capturing jig |
| CN108480229A (en) * | 2018-02-05 | 2018-09-04 | 湖南科伦制药有限公司 | Round vase label quality detection device |
| CN109583535B (en) * | 2018-11-29 | 2023-04-18 | 中国人民解放军国防科技大学 | Vision-based logistics barcode detection method and readable storage medium |
| CN112085650A (en) * | 2020-09-09 | 2020-12-15 | 南昌虚拟现实研究院股份有限公司 | Image processing method, image processing device, storage medium and computer equipment |
| CN112261302A (en) * | 2020-10-23 | 2021-01-22 | 创新奇智(广州)科技有限公司 | Method, device and system for shooting multi-angle target object |
| CN112333361A (en) * | 2020-10-30 | 2021-02-05 | 曰轮法寺 | Image acquisition method, target detection device, storage medium and equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020156466A1 (en) * | 2019-01-31 | 2020-08-06 | 维沃移动通信有限公司 | Photographing method and terminal device |
| CN111798374A (en) * | 2020-06-24 | 2020-10-20 | 浙江大华技术股份有限公司 | Image splicing method, device, equipment and medium |
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