CN202583085U - Instant noodles sauce packet defect automatic detection device based on machine vision - Google Patents
Instant noodles sauce packet defect automatic detection device based on machine vision Download PDFInfo
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- CN202583085U CN202583085U CN 201120564813 CN201120564813U CN202583085U CN 202583085 U CN202583085 U CN 202583085U CN 201120564813 CN201120564813 CN 201120564813 CN 201120564813 U CN201120564813 U CN 201120564813U CN 202583085 U CN202583085 U CN 202583085U
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Abstract
The utility model belongs to the technical field of automatic detection and relates to an instant noodles sauce packet defect automatic detection device based on machine vision. The detection device is used for detecting whether continuous sauce packets which are packaged are defective, and the continuous sauce packets are clamped by sauce packet clamps and conveyed by a sauce packet conveying line which is arranged on a bracket. The detection device comprises an in-place sensor, a camera, a light source and a controller, wherein the in-place sensor is fixed on the bracket and used for sensing the motion rhythm of the conveying line; a signal which is output by the in-place sensor is sent to the controller; the controller triggers the camera to take an image according to the signal which is sensed by the in-place sensor; the image which is taken by the camera is sent to a computer; and the computer performs processing and analysis according to the image, judges whether the sauce packets are defective, and transmits a result to the controller. The instant noodles sauce packet defect automatic detection device based on the machine vision has the advantages that interference of subjective factors in a manual visual checking method is completely eliminated, the existence and quantity completeness of the sauce packets can be quickly, objectively and accurately detected, and the detection accuracy and efficiency of product quality are greatly improved.
Description
Technical field
The utility model belongs to the Automatic Measurement Technique field, the device that particularly detects automatically about flour paste bag defective easy to detect.
Technical background
Along with the aggravation of global economic integration trend, the food and medicine industry is also increasingly high to the requirement of product quality, forces the company of relevant industries and enterprise in the quality inspection of product, to drop into more manpower financial capacity.In the instant noodles packaging process, the material bag integrality of instant noodles is to weigh an importance of product quality.And instant noodles product occurs owing to make things convenient for the health concerns that exists that flour paste bound edge defective causes; Not only can cause client's complaint and claim after coming into the market; And bring unpredicted fame and economic loss to manufacturer; Directly influence the market image of manufacturer, also damaged client's interests simultaneously.
The detection of carrying out instant noodle seasoning bag defective at present mainly is to use manual detection, in the production run that makes things convenient for the flour paste bag, mainly packs afterwards and encapsulates through automation equipment.But in the process of encapsulation owing to squeeze the existence of sauce and the certain probability of the packaging mechanism situation of delaying time; Cause between two bags of sauce bags and do not encapsulate fully; It is connected connects; When the sauce bag that connects together being cut into single individual sauce bag, will cause stream sauce phenomenon like this, the food hygiene situation can not get ensureing.The manual detection method is convenient, directly perceived, and accuracy is high, but it is bigger influenced by subjective factor, and workman's working strength is big, works long hours to be prone to cause visual fatigue, misjudgment occurs, influences the quality testing of product; And when the pack-thread excessive velocities, the operative employee can't accomplish detection basically.
The utility model content
In view of the above problems, the purpose of the utility model provide a kind of can adapt to quick sauce collation package line make things convenient for flour paste double team sauce image detection system based on machine vision.The utility model is realized through following technical scheme:
A kind of based on machine vision make things convenient for flour paste bag defective automatic detection device, whether the continuous sauce bag that is used to detect through encapsulation defective occurs, sauce wraps under the clamping of sauce double team tool continuously; Sauce bag conveyer line by being arranged on the support is carried; Described pick-up unit is included in level sensor, video camera, light source, controller, describedly is fixed on the support to level sensor, is used for the tact of motion of perception conveyer line; The signal of its output is admitted to controller; Controller is taken pictures according to the signal triggering video camera of the sensor senses that puts in place, and the image that described video camera is taken is admitted to computing machine, is handled and analyzes according to image by computing machine; Judge whether the sauce bag exists defective, and send the result to controller.
The utility model make things convenient for flour paste bag defective automatic detection device, described light source is preferably red light source, video camera and light source are installed relatively, the sauce bag is from passing through between it.
The utility model make things convenient for flour paste double team sauce image detection system, through images acquired, detect the integrality at the edge of sauce bag, exist the product of defective in time to report to the police and carry out the dock reason for the sauce bag, thereby guarantee the quality of the packing of product.This device is applied on the similar products pack-thread, has overcome the interference of subjective factor in artificial visually examine's method fully, can quantity and integrality quick, objective, that exactly material is wrapped detect accuracy of detection of improving the quality of products greatly and efficient.
Description of drawings
Fig. 1: the utility model hardware system outward appearance is formed synoptic diagram;
Fig. 2: the utility model software detection analytic product process flow diagram.
The explanation of accompanying drawing mark:
1 control box; 2 alarms; 3 sauce double team tools; 4 sensors; 5 industrial cameras (video camera); 6 light sources
Embodiment
Below in conjunction with accompanying drawing and embodiment the utility model is further specified.
Present embodiment is applicable to that synchronous tracking sauce bag is produced and encapsulation; Referring to Fig. 1; To level sensor 4 is a kind of photoelectric sensor; Be installed on the moving transmission of the sauce contracted affreightment support, its signal of exporting synchronously is admitted to the PLC controller in the control box 1, mainly comprises PLC controller, image pick-up card and industrial computer (computing machine) in the controller 1; Because the color of sauce bag is a dark brown; Clear in order to take pictures; The light source 6 of the utility model adopts the red area array light sources of LED, and industrial camera 5 is installed in vanning and transmits the roller bearing below, the sauce bag through roller bearing type sauce double team tool 3 after through the mechanism of taking pictures; The mechanism of taking pictures is that industrial camera 5 is installed with led light source 6 relatively, and the sauce bag is from passing through between it.
The method that realizes: because sauce is bundled into brown, the meat pulp during tangential movement in the sauce bag evenly disperses, during through photoelectric sensor; The light transmission of sauce bag central authorities is very low; The encapsulation junction is transparent between the sauce bag, through this unique point sensor senses sauce bound edge edge, and input trigger pip in PLC (in the control box 1); Trigger industrial camera by PLC and take pictures, collect image and in image pick-up card is transferred to industrial computer, carry out picture analyzing through software systems.
Referring to Fig. 2, concrete testing process is following:
1. the tact of motion of the sensor senses that puts in place conveyer line;
2. controller is according to the signal controlling video camera of the sensor senses that puts in place;
3. video camera is accepted trigger pip and is taken pictures, and the image of shooting is admitted to computing machine through image pick-up card;
4. tiny junction is filtered out and the sharpening of sauce bound edge edge through the expansion erosion operation;
5. through image binaryzation picture is simplified;
6. use filtrator to filter out the noise spot in the surveyed area;
7. utilize the opaqueness of liquid in the sauce bag, find the horizontal vertical separatrix, two edges of shrinkpack and liquid;
8. set up relative rectangular coordinate system according to sauce bound edge edge;
9. through relative coordinate system conversion the detection position is navigated to sauce bag seam crossing, make the seam crossing between equal two the sauce bags in target area of each detection;
10. folder sauce obvious phenomenon then has black region in the target area, can quantize the black region size through contrast, with contrast greater than 99% be regarded as bad;
11. store imperfect picture to local;
12. send bad signal through serial ports;
The result who analyzes carries out serial communication through host computer (industrial computer) to slave computer (PLC); Bad signal is transferred to PLC, carries out production line stop and warning by pilot relay system behind the PLC integrated signal again, after the operator carries out the defective products processing; Start operation, circulation successively.
Claims (2)
- One kind based on machine vision make things convenient for flour paste bag defective automatic detection device, whether the continuous sauce bag that is used to detect through encapsulation defective occurs, sauce wraps under the clamping of sauce double team tool continuously; Sauce bag conveyer line by being arranged on the support is carried, and it is characterized in that described pick-up unit is included in level sensor, video camera, light source, controller; Describedly be fixed on the support to level sensor; The tact of motion that is used for the perception conveyer line, the signal of its output is admitted to controller, and controller is taken pictures according to the signal triggering video camera of the sensor senses that puts in place; The image that described video camera is taken is admitted to computing machine; Handle and analyze according to image by computing machine, judge whether the sauce bag exists defective, and send the result to controller.
- 2. the flour paste bag defective automatic detection device that makes things convenient for according to claim 1 is characterized in that described light source is a red light source, and video camera and light source are installed relatively, and the sauce bag is from passing through between it.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201120564813 CN202583085U (en) | 2011-12-29 | 2011-12-29 | Instant noodles sauce packet defect automatic detection device based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201120564813 CN202583085U (en) | 2011-12-29 | 2011-12-29 | Instant noodles sauce packet defect automatic detection device based on machine vision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202583085U true CN202583085U (en) | 2012-12-05 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201120564813 Expired - Fee Related CN202583085U (en) | 2011-12-29 | 2011-12-29 | Instant noodles sauce packet defect automatic detection device based on machine vision |
Country Status (1)
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| CN (1) | CN202583085U (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103353976A (en) * | 2013-07-12 | 2013-10-16 | 江苏远洋数据股份有限公司 | Visual quality inspection device of packaging machine |
| CN106814080A (en) * | 2016-11-17 | 2017-06-09 | 杭州利珀科技有限公司 | Detecting system is thrown in one kind material bag leakage |
| CN109377485A (en) * | 2018-10-12 | 2019-02-22 | 龙口味美思环保科技有限公司 | A kind of instant noodles packaging defect machine vision detection method |
| CN109956349A (en) * | 2019-05-10 | 2019-07-02 | 肇庆市易利服装机械有限公司 | A kind of intelligent cloth inspecting machine with preview function |
| CN110973506A (en) * | 2019-12-31 | 2020-04-10 | 宿州市符离集刘老二烧鸡有限公司 | Fuliji roast chicken assembly line preparation production system |
-
2011
- 2011-12-29 CN CN 201120564813 patent/CN202583085U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103353976A (en) * | 2013-07-12 | 2013-10-16 | 江苏远洋数据股份有限公司 | Visual quality inspection device of packaging machine |
| CN106814080A (en) * | 2016-11-17 | 2017-06-09 | 杭州利珀科技有限公司 | Detecting system is thrown in one kind material bag leakage |
| CN109377485A (en) * | 2018-10-12 | 2019-02-22 | 龙口味美思环保科技有限公司 | A kind of instant noodles packaging defect machine vision detection method |
| CN109956349A (en) * | 2019-05-10 | 2019-07-02 | 肇庆市易利服装机械有限公司 | A kind of intelligent cloth inspecting machine with preview function |
| CN110973506A (en) * | 2019-12-31 | 2020-04-10 | 宿州市符离集刘老二烧鸡有限公司 | Fuliji roast chicken assembly line preparation production system |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121205 Termination date: 20151229 |
|
| EXPY | Termination of patent right or utility model |