CN212159606U - Beverage bottle defect detection system based on machine vision - Google Patents
Beverage bottle defect detection system based on machine vision Download PDFInfo
- Publication number
- CN212159606U CN212159606U CN202021030207.0U CN202021030207U CN212159606U CN 212159606 U CN212159606 U CN 212159606U CN 202021030207 U CN202021030207 U CN 202021030207U CN 212159606 U CN212159606 U CN 212159606U
- Authority
- CN
- China
- Prior art keywords
- bottle
- camera
- beverage bottle
- beverage
- detection mechanism
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The utility model discloses a beverage bottle defect detecting system based on machine vision relates to defect detection technical field, the utility model discloses to the beverage bottle production line, provide a beverage bottle defect detecting system based on machine vision. According to the method, model decomposition is carried out according to a factory production line, four modules of a mechanical execution part, an electrical control part, an image processing part and an upper computer software system part are analyzed in detail, problems and defects under the existing factory mode are provided for each module, reasons and strategies are analyzed in detail, then on the premise that requirements are met, the four modules are designed and the internal principle is analyzed, and an intelligent manufacturing solution which integrates mechanical, electrical, visual and software is formed. The utility model discloses a system debugging can realize stable, accurate detection to moulding beverage bottle defect.
Description
Technical Field
The utility model relates to a defect detection technical field, in particular to beverage bottle defect detecting system based on machine vision.
Background
With the rapid development of social economy and the rapid increase of population, the portable beverage consumption is greatly improved. This phenomenon has created a large number of consumer countries in our country where beverages are available in the world, and beverage bottles are also indispensable as carriers for beverages. For various technical reasons, during the production and manufacturing process of beverage bottles, defects of the beverage bottles inevitably occur, and along with the improvement of food safety consciousness of people, the defects of the bottle bodies are more and more unacceptable to people, and the problem of safety of dairy products is particularly outstanding. In the existing beverage bottle production technology level, the defect of the beverage bottle body cannot be avoided temporarily, and the product which can only avoid the corresponding defect from another level is circulated to the market, so the defect detection of the beverage bottle body is particularly important.
In the traditional manual detection mode, a worker is required to operate in a darkroom, whether the recovered bottle has defects is detected visually, the defects of low detection speed, complex operation, poor reliability, high omission ratio and the like exist, and the detector is easy to feel fatigue, so that the manual detection cannot adapt to the defect detection of the beverage bottles produced on a large scale. With the rise of computer science technology and corresponding hardware and software, the image processing technology can solve the problem of detecting the beverage bottle body, and compared with the traditional manual detection, the machine vision online detection has the advantages of high efficiency, low cost and the like, so that the machine vision detection has great research value in the food and beverage industry. The utility model discloses a system detectable bottleneck defect, bottle wall inside and outside, bottle end crackle, dirt foreign matter and the interior glued membrane transparence of bottle.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a beverage bottle defect detecting system based on machine vision, inside and outside detectable bottleneck defect, bottle wall, bottle end crackle, dirt foreign matter and the interior glued membrane transparence of bottle.
The utility model provides a beverage bottle defect detecting system based on machine vision, include: the bottle bottom detection mechanism, the bottle body detection mechanism, the bottle mouth detection mechanism and the rejection mechanism are arranged in the bottle body;
the bottle bottom detection mechanism comprises a bottle bottom industrial camera, a lens of the bottle bottom industrial camera is placed upwards, a double-clamping synchronous belt is arranged above the bottle bottom industrial camera through a support frame, a beverage bottle is clamped in the double-clamping synchronous belt to drive the beverage bottle to horizontally rotate, a first transmitting end and a first receiving end of a correlation sensor are arranged at corresponding positions of the top of the double-clamping synchronous belt, the first transmitting end and the first receiving end are located on two sides of the beverage bottle, the double-clamping synchronous belt is driven to operate by a stepping motor, a bottle bottom annular light source is arranged in the center below the double-clamping synchronous belt, and the light source direction of the bottle bottom annular light source is vertically upwards;
the bottle body detection mechanism comprises a bottom conveying belt, a camera frame is installed outside the bottom conveying belt in a straddling mode, a plurality of bottle body industrial cameras facing the center of the conveying belt are uniformly fixed on the camera frame, the bottle body industrial cameras are located on the same horizontal line, a bottle body holing area light source is arranged in front of each bottle body industrial camera, a lens of each bottle body industrial camera is located at a round hole of the bottle body holing area light source, and a second transmitting end and a second receiving end of an correlation sensor are installed on two sides of the bottom conveying belt respectively;
the bottle mouth detection mechanism comprises a bottle mouth camera, the bottle mouth camera is mounted at the top of the camera frame, and a lens of the bottle mouth camera faces to the right lower side;
the rejection mechanism comprises a rejection electromagnetic valve, the side edge of the bottom conveyor belt is provided with the rejection electromagnetic valve, and a rejection diffuse reflection sensor is arranged in front of the electromagnetic valve along the running direction of the bottom conveyor belt;
the bottle bottom detection mechanism is installed at the output end of the production equipment, the produced beverage bottles enter between the double-clamping synchronous belts, the bottle body detection mechanism and the bottle mouth detection mechanism are installed at the other end of the bottle bottom detection mechanism, the beverage bottles are conveyed by the double-clamping synchronous belts and then move to the position above the bottom conveying belt, and the rejecting mechanism is installed at the rear of the camera frame along the running direction of the bottom conveying belt.
And further, the bottle bottom industrial camera, the bottle body industrial camera and the bottle mouth camera are electrically connected with a control computer through network cables by adopting a GigE interface, the control computer detects defects, and images shot by the bottle bottom industrial camera, the bottle body industrial camera and the bottle mouth camera are matched and identified with preset images.
Furthermore, the rejection electromagnetic valve and the rejection diffuse reflection sensor are electrically connected with the control computer.
Further, the visual fields of the bottle bottom industrial camera, the bottle body industrial camera and the bottle opening camera are all larger than 90 degrees, and the number of the bottle body industrial cameras is not smaller than 4.
Furthermore, the surface of the bottom conveyor belt has adsorption capacity and is driven to rotate by a driving motor, and the working voltage of the driving motor is 24V.
Furthermore, two centre gripping hold-in ranges comprise two vertical and sponge top layer conveyer belts that are just side by side, two sponge top layer conveyer belts move in the same direction in step, the beverage bottle centre gripping is two between the sponge top layer conveyer belt, by two sponge top layer conveyer belt drives the beverage bottle removes.
Compared with the prior art, the utility model has the advantages of it is as follows showing:
the utility model provides a beverage bottle defect detecting system based on machine vision to the beverage bottle production line, provides the machine vision defect detecting system based on PLC control and is moulding the design in the aspect of beverage bottle detection. According to the method, model decomposition is carried out according to a factory production line, four modules of a mechanical execution part, an electrical control part, an image processing part and an upper computer software system part are analyzed in detail, each module is firstly used as a role of the first party to provide problems and disadvantages under the existing factory mode, the reasons and the strategy are analyzed in detail, then on the premise of meeting requirements, the four modules are designed and the internal principle is analyzed in detail, and an intelligent manufacturing solution which integrates machinery, electricity, vision and software is formed. The utility model discloses a system debugging can realize stable, accurate detection to moulding beverage bottle defect. The utility model relates to a system detectable bottleneck defect, bottle wall are inside and outside, bottle end crackle, dirt foreign matter and the interior glued membrane transparence of bottle.
Drawings
Fig. 1 is an overall structure diagram of a beverage bottle defect detecting system based on machine vision provided by the embodiment of the present invention;
fig. 2 is a diagram of a bottle bottom detection mechanism of a beverage bottle defect detection system based on machine vision according to an embodiment of the present invention;
fig. 3 is a body detection mechanism diagram of a beverage bottle defect detection system based on machine vision according to an embodiment of the present invention;
fig. 4 is a bottle mouth detection mechanism diagram of a beverage bottle defect detection system based on machine vision provided by the embodiment of the present invention;
fig. 5 is a drawing of the rejecting mechanism of the beverage bottle defect detecting system based on machine vision according to the embodiment of the present invention;
fig. 6 is an electrical control flow chart of a beverage bottle defect detecting system based on machine vision provided by the embodiment of the present invention;
fig. 7 is a control cabinet diagram of a beverage bottle defect detecting system based on machine vision provided by the embodiment of the present invention.
Description of the drawings: 1-bottle bottom detection mechanism, 2-double-clamping synchronous belt, 3-sponge surface layer conveying belt, 4-first transmitting end, 5-beverage bottle, 6-first receiving end, 7-stepping motor, 8-bottom conveying belt, 9-camera frame, 10-body industrial camera, 11-body hole digging area light source, 12-second transmitting end, 13-second receiving end, 14-bottle mouth camera, 15-rejection electromagnetic valve and 16-rejection diffuse reflection sensor.
Detailed Description
In the following, the technical solutions of the embodiments of the present invention are described clearly and completely with reference to the drawings in the present application, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts shall fall within the protection scope of the present invention.
The existing mechanical structure has the following defects: the detection mode is a manual detection mode between the production equipment and the packaging equipment, and the efficiency cannot be synchronous with the production equipment, so that the efficiency is low, the detection is missed, and the false detection rate is high; the condition of the bottle bottom cannot be detected by manual detection, and secondary detection is needed after packaging is finished by packaging equipment, so that considerable resource waste is caused, and the cost is greatly increased; the plastic beverage bottle is made of food-grade plastic, the quality is light and thin, the beverage bottle is prevented from being inclined or falling out of the conveyor belt by the aid of the guide rail arranged above the conveyor belt on the original production line, friction exists between the bottle body and the conveyor belt guide rail, and defective products of a part of beverage bottles are not caused by production defects.
For better understanding of the technical solution of the present application, the following explanation is made;
industrial cameras are a key component in machine vision systems, and their most essential function is to convert light signals into ordered electrical signals. The selection of a proper camera is also an important link in the design of a machine vision system, and the selection of the camera not only directly determines the resolution, image quality and the like of the acquired image, but also is directly related to the operation mode of the whole system.
The correlation sensor is based on an sep8506 infrared light-emitting tube, an sdp8406 photoelectric triode and an sdp8106 photoelectric Darlington tube.
Referring to fig. 1-7, the utility model provides a beverage bottle defect detecting system based on machine vision, include: the bottle bottom detection mechanism 1, the bottle body detection mechanism, the bottle mouth detection mechanism and the rejection mechanism;
the bottle bottom detection mechanism 1 comprises a bottle bottom industrial camera, a lens of the bottle bottom industrial camera is placed upwards and used for acquiring an image of the bottom of a beverage bottle 5, a double-clamping synchronous belt 2 is arranged above the bottle bottom industrial camera through a support frame, the beverage bottle 5 is clamped inside the double-clamping synchronous belt 2, the beverage bottle 5 produced in production equipment is moved into the double-clamping synchronous belt 2, the double-clamping synchronous belt 2 drives the beverage bottle 5 to horizontally rotate, a first transmitting end 4 and a first receiving end 6 of an opposite emission sensor are arranged at corresponding positions on the top of the double-clamping synchronous belt 2, the first transmitting end 4 and the first receiving end 6 are positioned at two sides of the beverage bottle 5, when the beverage bottle 5 passes between the first transmitting end 4 and the first receiving end 6, signals between the first transmitting end 4 and the first receiving end 6 are cut off, the signal is sent to a control computer, the control computer controls the bottle bottom industrial camera to acquire the bottom image of the beverage bottle 5 and transmits the acquired image back to the control computer to detect the bottle bottom defect, the double-clamping synchronous belt 2 is driven by a stepping motor 7 or a servo motor to operate, a bottle bottom annular light source is arranged at the center below the double-clamping synchronous belt 2, the light source direction of the bottle bottom annular light source is vertical upwards, and the bottle bottom annular light source is used for irradiating the bottom of the beverage bottle 5 to ensure the definition and brightness of the image acquired by the bottle bottom industrial camera;
the bottle body detection mechanism comprises a bottom conveying belt 8, the beverage bottle 5 falls above the bottom conveying belt 8 after being conveyed by the double-clamping synchronous belt 2, the upper surface of the bottom conveying belt 8 is lower than the lower surface of the double-clamping synchronous belt 2, the beverage bottle 5 is guaranteed to naturally fall on the upper surface of the bottom conveying belt 8, a camera frame 9 is installed outside the bottom conveying belt 8 in a spanning mode, a plurality of bottle body industrial cameras 10 facing the center of the conveying belt are uniformly fixed on the camera frame 9, the bottle body industrial cameras 10 are located on the same horizontal line, a bottle body hole area light source 11 is arranged in front of each bottle body industrial camera 10, a lens of each bottle body industrial camera 10 is located at a circular hole of the bottle hole area light source 11, a circular hole is arranged at the center of the bottle body area light source 11, and the lens of the bottle body industrial camera 10 is conveniently fixed in the circular hole area light source 11, a second transmitting end 12 and a second receiving end 13 of the correlation sensor are respectively arranged at two sides of the bottom conveyor belt 8, when the beverage bottle 5 passes between the second transmitting end 12 and the second receiving end 13, a signal between the second transmitting end 12 and the second receiving end 13 is cut off, the signal is sent to a control computer, the control computer controls the body industrial camera 10 to acquire a body image of the beverage bottle 5, and the acquired image is sent back to the control computer to detect the defect of the body;
the bottle mouth detection mechanism comprises a bottle mouth camera 14, the bottle mouth camera 14 is installed at the top of the camera frame 9, a lens of the bottle mouth camera 14 faces to the right lower side, the visual field range of the bottle mouth camera 14 comprises the whole bottle mouth range, and after the control computer receives the information that the signal between the second transmitting end 12 and the second receiving end 13 is cut off, the bottle mouth camera 14 is controlled to acquire a bottle mouth image, the acquired image is transmitted back to the control computer, and bottle mouth defect detection is carried out;
rejecting mechanism is including rejecting solenoid valve 15 is rejected in the side installation of bottom conveyer belt 8, follows bottom conveyer belt 8 traffic direction is located the diffuse reflection sensor 16 is rejected in the position installation in solenoid valve the place ahead, reject solenoid valve 15, reject diffuse reflection sensor 16 all with control computer electricity is connected.
The rejecting mechanism is positioned behind the bottle mouth detecting mechanism along the running direction of the bottom conveyor belt 8, the rejecting electromagnetic valve 15 is connected to the output end of the control computer, when the control computer detects that a defect exists, the beverage bottle 5 is marked, the rejecting electromagnetic valve 15 is controlled to reject the defective beverage bottle 5 out of the surface of the bottom conveyor belt 8, and the rejecting diffuse reflection sensor 16 is used for detecting whether the marked beverage bottle 5 reaches a rejecting position or not;
the bottle bottom detection mechanism 1 is installed at the output end of production equipment, the produced beverage bottle 5 enters between the double-clamping synchronous belt 2, the bottle body detection mechanism and the bottle mouth detection mechanism are installed at the other end of the bottle bottom detection mechanism 1, the bottle body detection mechanism and the bottle mouth detection mechanism move to the position above the bottom conveying belt 8 after being conveyed by the double-clamping synchronous belt 2, and the rejection mechanism is installed at the rear of the camera frame 9 along the running direction of the bottom conveying belt 8.
The bottle bottom industrial camera, the bottle body industrial camera 10 and the bottle mouth camera 14 are all electrically connected with a control computer through network cables by adopting a GigE interface, the control computer detects defects, compares and processes images, and matches and identifies the images shot by the bottle bottom industrial camera, the bottle body industrial camera 10 and the bottle mouth camera 14 with preset images.
The working principle is as follows: because the beverage bottle is extremely light, the bottle bottom can be suspended and move along with the conveyor belt by a method of symmetrically placing the conveyor belt and utilizing the friction force of the conveyor belt, the bottle bottom industrial camera is erected at the bottom of the conveyor belt, and the bottle bottom annular light source is arranged at the bottle bottom. On the basis of a scheme for erecting a bottle body detection camera and a light source, the design adopts a solution scheme of 'single camera + prism' instead of the prior art, and a multi-camera synchronous detection strategy is adopted firstly. The beverage bottle visual field covered by each bottle body detection camera is larger than 90 degrees, the arrangement scheme can ensure that the detection range can cover the whole bottle body surface, and the defect problem can be judged at the cross part of the visual field of the cameras according to the imaging of a plurality of angles. In the aspect of the bottle mouth camera arrangement scheme, the design selects a mainstream market scheme, an industrial camera is placed right above the bottle mouth, as shown in the figure, the camera view can cover the whole bottle mouth, and the view can overlap with the bottle body detection camera, so that the beverage bottle can be detected in an all-round and dead-angle-free manner. The diffuse reflection sensor and the electromagnetic valve are matched with each other, after image processing is completed on the bottom, the bottle body and the bottle mouth, the software system is used for scheduling, and when a diffuse reflection feedback signal is received, the software system controls the electromagnetic valve to act, so that inferior beverage bottles are removed, and qualified products can continue to run.
The production equipment transmits the beverage bottles to the bottom sensor through the bottle bottom mechanism to trigger the bottle bottom light source and the bottle bottom camera, then the beverage bottles are conveyed to the bottle body sensor through the bottle body adsorption conveying belt to trigger the bottle body hole digging light source in parallel, the bottle body camera is triggered again, finally, whether defective products are judged at the pick sensor, the electromagnetic valve is moved to pick out the defective products, and the on-line detection process is completed.
Under the mutual cooperation of mechanical execution part and electrical control part, transport the beverage bottle to detect in the preset area accurately to trigger corresponding camera snapshot. After taking the collection picture, adopt several mainstream image processing storehouse OpenCV, Ni vision, TensorFlow, Halcon to carry out corresponding contrast after, no matter from project cycle or the development degree of difficulty, Halcon is more suitable for being used as the utility model discloses an image processing algorithm storehouse.
Example 1
The visual fields of the bottle bottom industrial camera, the bottle body industrial camera 10 and the bottle mouth camera 14 are all larger than 90 degrees, the number of the bottle body industrial cameras 10 is not smaller than 4, the four bottle body industrial cameras 10 are uniformly distributed in the circumference, the beverage bottle 5 in the bottle body industrial cameras can be completely shot, and the defect problem can be judged at the cross part of the visual fields of the cameras according to the imaging of a plurality of angles.
Example 2
The surface of the bottom conveying belt 8 has adsorption capacity and is driven to rotate by the driving motor, the bottom conveying belt 8 is provided with a plurality of pits on the surface thereof, a vacuum adsorption pump is arranged in each pit, the pits are uniformly arranged on the surface of the bottom conveying belt 8, so that the bottom conveying belt 8 generates adsorption capacity, the working voltage of the driving motor is 24V, the speed of the conveying belt can be accurately controlled, and the bottom conveying belt 8 has great operability in the aspects of installation and debugging.
Example 3
Two centre gripping hold-in range 2 comprise two vertical and parallel sponge top layer conveyer belts 3, and the sponge top layer can not be right beverage bottle 5 causes the pressure loss, makes beverage bottle 5 warp, two sponge top layer conveyer belt 3 synchronous syntropy removes, 5 centre gripping of beverage bottle is two between the sponge top layer conveyer belt 3, by two sponge top layer conveyer belt 3 drives beverage bottle 5 removes.
The working principle of the removing mechanism is as follows:
the CCD is placed at a fixed position to collect an image of the beverage bottle 5, the computer is used for processing the image to analyze the surface defect of the beverage bottle 5, if the surface defect of the beverage bottle 5 being detected is found, the counter starts counting, after the specified counting, the counter sends out a pulse, the pulse controls the opening of the rejecting electromagnetic valve 15, so as to control the movement of a piston in a cylinder, when the beverage bottle 5 with the damaged surface reaches the rejecting position, the pulse controls the electromagnetic valve to be electrified, a high-pressure air inlet drawing cylinder pushes the piston rod to rapidly move forwards to push the defective beverage bottle 5 to be ejected onto an inclined rolling path on the side surface to enter a waste box, the electromagnetic valve is electrically reset after being opened for a fixed time, the spring-free side in the cylinder is communicated with the atmosphere, and the beverage bottle 5 immediately returns to the.
The removal of said beverage bottles 5 with surface damages is completed. The working principle of the elimination diffuse reflection sensor is as follows: the diffuse reflection type is where the target produces diffuse reflection when the switch emits a light beam, the transmitter and receiver forming a single standard component, and when sufficient combined light is returned to the receiver, the switch state changes, typically to 3 meters, range.
The working principle of the elimination diffuse reflection sensor is as follows: the diffuse reflection type is where the target produces diffuse reflection when the switch emits a light beam, the transmitter and receiver forming a single standard component, and when sufficient combined light is returned to the receiver, the switch state changes, typically to 3 meters, range.
Is characterized in that: the effective acting distance is determined by the reflection capacity of the target, and is determined by the surface property and the color of the target; less assembly expenditure, it is generally possible to achieve a coarse positioning when the switch consists of a single element; adjusting the measurement distance by adopting a background suppression function; sensitive to dust on the target and sensitive to the changed reflective properties of the target.
The above disclosure is only for a few specific embodiments of the present invention, however, the present invention is not limited to the embodiments, and any changes that can be considered by those skilled in the art shall fall within the protection scope of the present invention.
Claims (6)
1. A beverage bottle defect detection system based on machine vision, characterized by comprising: the bottle bottom detection mechanism (1), the bottle body detection mechanism, the bottle mouth detection mechanism and the rejection mechanism;
the bottle bottom detection mechanism (1) comprises a bottle bottom industrial camera, a lens of the bottle bottom industrial camera is placed upwards, a double-clamping synchronous belt (2) is arranged above the bottle bottom industrial camera through a support frame, a beverage bottle (5) is clamped inside the double-clamping synchronous belt (2) to drive the beverage bottle (5) to horizontally rotate and move, a first transmitting end (4) and a first receiving end (6) of an opposite sensor are arranged at positions corresponding to the top of the double-clamping synchronous belt (2), the first transmitting end (4) and the first receiving end (6) are located on two sides of the beverage bottle (5), the double-clamping synchronous belt (2) is driven to operate by a stepping motor (7), a bottle bottom annular light source is arranged at the center below the double-clamping synchronous belt (2), and the light source direction of the bottle bottom annular light source is vertically upwards;
the bottle body detection mechanism comprises a bottom conveying belt (8), a camera frame (9) is installed outside the bottom conveying belt (8) in a spanning mode, a plurality of bottle body industrial cameras (10) facing the center of the conveying belt are uniformly fixed on the camera frame (9), the bottle body industrial cameras (10) are located on the same horizontal line, a bottle body hole digging area light source (11) is arranged in front of each bottle body industrial camera (10), a lens of each bottle body industrial camera (10) is located at a round hole of each bottle body hole digging area light source (11), and a second transmitting end (12) and a second receiving end (13) of an opposite-emitting sensor are installed on two sides of the bottom conveying belt (8) respectively;
the bottle mouth detection mechanism comprises a bottle mouth camera (14), the bottle mouth camera (14) is installed at the top of the camera frame (9), and a lens of the bottle mouth camera (14) faces towards the right lower side;
the rejection mechanism comprises a rejection electromagnetic valve (15), the rejection electromagnetic valve (15) is installed on the side edge of the bottom conveyor belt (8), and a rejection diffuse reflection sensor (16) is installed in a position located in front of the electromagnetic valve along the running direction of the bottom conveyor belt (8);
the bottle bottom detection mechanism (1) is installed at the output end of production equipment, the produced beverage bottle (5) enters between the double-clamping synchronous belts (2), the bottle body detection mechanism and the bottle mouth detection mechanism are installed at the other end of the bottle bottom detection mechanism (1), the bottle body detection mechanism and the bottle mouth detection mechanism move to the upper portion of the bottom conveying belt (8) after being conveyed by the double-clamping synchronous belts (2), and the rejecting mechanism is installed at the rear portion of the camera frame (9) along the running direction of the bottom conveying belt (8).
2. The beverage bottle defect detection system based on machine vision according to claim 1, wherein the bottle bottom industrial camera, the bottle body industrial camera (10) and the bottle mouth camera (14) are all electrically connected with a control computer through a network cable by adopting a GigE interface, the control computer performs defect detection, and images shot by the bottle bottom industrial camera, the bottle body industrial camera (10) and the bottle mouth camera (14) are matched and identified with a preset image.
3. A beverage bottle defect detection system based on machine vision according to claim 2, characterized in that said rejecting solenoid valve (15) and rejecting diffuse reflection sensor (16) are electrically connected to said control computer.
4. A beverage bottle defect detection system based on machine vision according to claim 2, characterized in that the fields of view of said bottom industrial camera, body industrial camera (10) and bottle mouth camera (14) are all larger than 90 °, the number of said body industrial cameras (10) is not less than 4.
5. A beverage bottle defect detection system based on machine vision according to claim 1, characterized in that the surface of the bottom conveyor belt (8) has suction capacity and is driven to rotate by a driving motor, and the operating voltage of the driving motor is 24V.
6. A beverage bottle defect detecting system based on machine vision according to claim 1, characterized in that said double-clamping synchronous belt (2) is composed of two vertical and side-by-side sponge surface layer conveyor belts (3), two sponge surface layer conveyor belts (3) move synchronously and in the same direction, said beverage bottle (5) is clamped between two sponge surface layer conveyor belts (3), and said beverage bottle (5) is driven by two sponge surface layer conveyor belts (3) to move.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021030207.0U CN212159606U (en) | 2020-06-05 | 2020-06-05 | Beverage bottle defect detection system based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021030207.0U CN212159606U (en) | 2020-06-05 | 2020-06-05 | Beverage bottle defect detection system based on machine vision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN212159606U true CN212159606U (en) | 2020-12-15 |
Family
ID=73702058
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202021030207.0U Active CN212159606U (en) | 2020-06-05 | 2020-06-05 | Beverage bottle defect detection system based on machine vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN212159606U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112893189A (en) * | 2021-01-18 | 2021-06-04 | 惠州市德赛自动化技术有限公司 | Appearance detection method and equipment |
| CN114018947A (en) * | 2021-10-21 | 2022-02-08 | 武汉理工大学 | High reflection of light plastic bottle lid surface flaw detection device |
-
2020
- 2020-06-05 CN CN202021030207.0U patent/CN212159606U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112893189A (en) * | 2021-01-18 | 2021-06-04 | 惠州市德赛自动化技术有限公司 | Appearance detection method and equipment |
| CN114018947A (en) * | 2021-10-21 | 2022-02-08 | 武汉理工大学 | High reflection of light plastic bottle lid surface flaw detection device |
| CN114018947B (en) * | 2021-10-21 | 2023-11-07 | 武汉理工大学 | High reflection of light plastic bottle lid surface flaw detection device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111537520A (en) | Beverage bottle defect detection system based on machine vision | |
| US11213860B2 (en) | Automatic magnetic core sorting system based on machine vision | |
| CN212159606U (en) | Beverage bottle defect detection system based on machine vision | |
| US6384421B1 (en) | Vision system for industrial parts | |
| CN101413904B (en) | Impurity real time machine vision detection method and apparatus in special-shaped bottle-packaging solution | |
| CN102218406A (en) | Intelligent detection device of defects of mobile phone outer shell based on machine vision | |
| CN203508418U (en) | Device for detecting appearance of tobacco packaging box | |
| CN101105460A (en) | Multifunctional bottle checker | |
| CN101825582B (en) | Method and device for detecting wall of cylindrical transparent bottle | |
| CN112452801A (en) | High-efficiency online detection device for defects of glass bottles and working method thereof | |
| CN105728339B (en) | A kind of ceramic cartridge vision automatic checkout system | |
| CN103170459A (en) | Spectacle lens flaw detection system | |
| CN209901748U (en) | Plastic part automatic detection equipment based on machine vision recognition | |
| CN210847262U (en) | Medical plastic bag defect detection device | |
| CN206362717U (en) | A kind of device of detection object surface defect | |
| CN201707305U (en) | Inspection system for inspecting quality of container caps | |
| CN214516133U (en) | Automatic lamp inspection device for multiple single-row bottles | |
| CN203245133U (en) | Lens defect detecting system | |
| CN102879404B (en) | System for automatically detecting medical capsule defects in industrial structure scene | |
| CN201053877Y (en) | Box full load checking machine | |
| CN113252561A (en) | Cookware surface defect detection system and method | |
| CN211122578U (en) | Glass surface flaw detection device | |
| CN202351182U (en) | Online high-speed detection system for defects on surface of tinplate | |
| CN201689061U (en) | Detecting device for transparent bottle wall of cylinder | |
| CN211839084U (en) | Online all-round intelligent detection system of vacuum test tube |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |