A Receptor Implantation Correction Method Based on Image Recognition

Abstract

This invention provides a sensor implantation correction method based on image recognition, relating to the field of heated tobacco product technology, and includes the following steps: S1: Equipment startup; S2: Determine if feeding is normal; if yes, proceed to step S3; otherwise, do not perform the operation; S3: During the slitting process, the camera continuously acquires at least two slitting surface images; S4: Determine if the sensor position is the same in multiple slitting surface images; if yes, proceed to S5; otherwise, adjust the second telescopic cylinder and proceed to S3; S5: Determine if the sensor position is located in the middle of the smoke-generating section; if yes, do not perform the operation; otherwise, adjust the first telescopic cylinder and return to S3. This invention uses image recognition to adjust the orientation of the take-up section and the sensor feeding guidance position based on the slitting images during the smoke-generating section slitting after sensor implantation, thereby effectively adjusting the sensor to the middle of the heated tobacco product, resulting in more uniform heating and a better smoking experience.

Description

Technical Field

[0001] This invention relates to the field of heated tobacco products, and in particular, to a method for correcting errors by implanting receptors based on image recognition. Background Technology

[0002] Heated tobacco products are a special type of tobacco product that has been under development in recent years. They are heated using electricity or other methods, causing the aroma components and other substances in the tobacco to be released. Because the tobacco does not participate in combustion, the production of large amounts of harmful components due to high-temperature decomposition at 900℃ is avoided. This reduces harm to the body while providing consumer satisfaction and also lowers environmental smoke pollution.

[0003] Currently, heated tobacco products are typically used with matching heated tobacco devices. To use them, the cigarette is inserted into the device, and a heating needle is inserted into the cigarette. The heat from the heating needle heats the cigarette, releasing flavor compounds. However, uneven heating of the cigarette is a significant problem due to variations in the angle, depth, and fit of the heating needle, often resulting in suboptimal heating and smoking performance.

[0004] Existing methods for optimizing uniform heating are based on the insertion of heating needles. For example, Chinese invention patent CN109832662A discloses a heated non-combustible cigarette, which includes a mouthpiece for the user to inhale and a smoke-generating section connected to the mouthpiece for generating smoke. The smoke-generating section includes a tube made of rolled tobacco paper, and further includes tobacco sheets and heat-conducting plates disposed within the tube. When using the heated non-combustible cigarette, the smoke-generating section enters the smoking device that cooperates with the heated non-combustible cigarette. Because the smoke-generating section is equipped with heat-conducting plates, the heat generated by the smoking device can be quickly transferred to all parts of the smoke-generating section, thereby ensuring uniform heating of the smoke-generating section and improving the user's smoking experience.

[0005] However, the pin-type heated tobacco stick is still very inconvenient. In contrast, a more efficient method involves placing a magnetic body (sensor) inside the cigarette that is heated by an external magnetic field. The magnetic field is applied to the cigarette by supplying power to the wires of the aerosol generating device, thereby generating aerosol. The sensor is built into the cigarette and comes in various shapes. The smoking device does not require a pin, has a long service life, and the sensor is pre-embedded in the smoke-generating section. This not only enables rapid heating but also prevents damage to the smoke-generating section during smoking, allowing the cigarette to be smoked multiple times.

[0006] The following drawbacks also exist with heated tobacco products containing sensory receptors: the sensory receptors need to be pre-embedded in the smoke-generating section. At present, there is no good way to complete the preparation of the cigarette and add the sensory receptors to the smoke-generating section at the same time. This means that the preparation of the heated tobacco product and the installation of the sensory receptors need to be done in two separate steps, which is troublesome. Moreover, if the sensory receptors are not installed in the middle of the smoke-generating section, the problem of uneven heating of the cigarettes still exists, resulting in a poor smoking experience.

[0007] Therefore, in order to solve the above problems, it is necessary for us to design a reasonable image recognition-based receptor implantation correction method. Summary of the Invention

[0008] The purpose of this invention is to provide a sensor implantation correction method based on image recognition. By using image recognition to analyze the slicing image of the smoke-generating section after sensor implantation, the orientation of the winding section and the sensor feeding guide position are adjusted, thereby effectively adjusting the sensor to the middle of the heated non-combustible cigarette, resulting in uniform heating and a better smoking experience.

[0009] To achieve the above objectives, the present invention employs the following technical solution:

[0010] A method for correcting implantation deviation based on image recognition is applicable to implantation machine equipment for paper rolling. The equipment includes an implantation machine, a tobacco feeding section, a paper feeding section, a winding section, and a slitting section. The slitting section is equipped with a camera. An implantation limiting plate is provided between the implantation machine and the winding section. The implantation limiting plate is provided with guide holes to facilitate implantation. The implantation limiting plate is connected to a first telescopic cylinder. The winding section is connected to a second telescopic cylinder. Both the first and second telescopic cylinders are electrically connected to a controller.

[0011] The method includes the following steps:

[0012] S1: When the wrapping machine starts, the camera and controller are activated;

[0013] S2: Determine whether the sensor feeding section, tobacco feeding section, and paper feeding section are feeding normally. If yes, proceed to step S3; otherwise, do not perform the operation.

[0014] S3: When the slitting section cuts the smoke-generating section of the winding, the camera continuously acquires at least two images of the slitting surface;

[0015] S4: Determine whether the position of the receptor is the same in multiple slicing images. If so, proceed to step S5; otherwise, adjust the second telescopic cylinder according to two adjacent slicing images and proceed to step S3.

[0016] S5: Determine whether the position of the receptor in the multiple segmented images is always in the middle of the smoke-generating section; if so, do not perform the operation; otherwise, adjust the first telescopic cylinder according to the position of the receptor and return to step S3.

[0017] As a preferred embodiment of the present invention, when executing step S1, after the controller is started, the controller determines whether the electrical connection with the camera is normal. If so, step S2 is executed; otherwise, an alarm is issued.

[0018] As a preferred embodiment of the present invention, when performing step S2, it is determined in sequence whether the sensor feeding section, the tobacco feeding section, and the paper feeding section are all feeding normally. If they are all feeding normally, step S3 is performed; otherwise, an abnormal feeding section is indicated.

[0019] As a preferred embodiment of the present invention, the slitting section includes two cutting blades, and the two cutting blades are arranged symmetrically to each other;

[0020] When performing step S3, the two cutters cut from both sides of the smoke-generating section toward the middle.

[0021] As a preferred embodiment of the present invention, the second telescopic cylinder is disposed at one end of the winding section near the sensor feeding section;

[0022] When performing step S4, if the positions of the receptors are different in multiple slicing images, two adjacent slicing images are acquired. The direction in which the position of the receptor in the later slicing image is relative to the position of the receptor in the earlier slicing image is recorded as the first adjustment direction. The second telescopic cylinder is driven to deflect the end of the winding section near the receptor feeding section by a unit angle in the first adjustment direction, and step S3 is executed.

[0023] As a preferred embodiment of the present invention, the number of the first telescopic cylinders is at least one, and the plurality of first telescopic cylinders are evenly arranged around the sensor limiting plate.

[0024] When performing step S5, if the position of the sensor in the multiple sectional images is not located in the middle of the smoke-generating section, the direction of the middle position of the smoke-generating section relative to the position of the sensor in the sectional image is obtained and recorded as the second adjustment direction. The first telescopic cylinder is driven to adjust the sensor limiting plate to move a unit distance in the second adjustment direction, and step S3 is executed.

[0025] As a preferred embodiment of the present invention, the number of cameras is at least two.

[0026] As a preferred embodiment of the present invention, the sensor feeding section is provided with a sensor unwinding reel, and the paper feeding section is provided with a paper unwinding reel.

[0027] As a preferred embodiment of the present invention, the guide hole is an M-shaped hole.

[0028] The beneficial effects of the image recognition-based receptor implantation correction method of the present invention are as follows: by using image recognition, the orientation of the winding section and the feeding guide position of the receptor are adjusted based on the slicing image of the smoke-generating section after receptor implantation, thereby effectively adjusting the receptor to the middle of the heated non-combustible cigarette, resulting in uniform heating and a better smoking experience. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the process of a receptor implantation correction method based on image recognition according to the present invention. Detailed Implementation

[0030] The following are specific embodiments of the present invention, which further describe the technical solution of the present invention, but the present invention is not limited to these embodiments.

[0031] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement of modules and structures set forth in these embodiments does not limit the scope of the invention.

[0032] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0033] Techniques, methods, and systems known to a person skilled in the art may not be discussed in detail, but where appropriate, they should be considered part of the license specification.

[0034] Example 1: As Figure 1 The illustration shown is merely one embodiment of the present invention, a receptor implantation correction method based on image recognition, applicable to receptor implantation packaging machine equipment; the equipment includes a receptor feeding section, a tobacco feeding section, a paper feeding section, a winding section, and a slitting section; the slitting section is equipped with a camera, a receptor limiting plate is provided between the receptor feeding section and the winding section, the receptor limiting plate is provided with a guide hole for facilitating the passage of the receptor, the receptor limiting plate is connected to a first telescopic cylinder; the winding section is connected to a second telescopic cylinder; both the first and second telescopic cylinders are electrically connected to a controller.

[0035] The sensor is a strip-shaped structure, which should be called a sensor strip. It is made of metal materials such as steel strip, aluminum strip, and alloy strip. Generally, steel strip structure is used (low cost, easy to manufacture, high strength, and good magnetic heating effect. If other metal strips with better materials are available as technology advances, they can be replaced). After the metal sensor strip is implanted in the smoking section, it can sense and heat in the electromagnetic environment of the cigarette lighter, thereby exciting the tobacco in the smoking section to produce smoke.

[0036] The method includes the following steps:

[0037] S1: When the wrapping machine starts, the camera and controller are activated;

[0038] When executing step S1, after the controller starts, it determines whether the electrical connection with the camera is normal. If so, it executes step S2; otherwise, it issues an alarm.

[0039] S2: Determine whether the sensor feeding section, tobacco feeding section, and paper feeding section are feeding normally. If yes, proceed to step S3; otherwise, do not perform the operation.

[0040] When performing step S2, it is determined in sequence whether the sensor feeding section, tobacco feeding section and paper feeding section are all feeding normally. If they are all feeding normally, step S3 is executed; otherwise, an abnormal feeding section is indicated.

[0041] S3: When the slitting section cuts the smoke-generating section of the winding, the camera continuously acquires at least two images of the slitting surface;

[0042] Here, the slitting section includes two cutters, and the two cutters are arranged symmetrically to each other;

[0043] When performing step S3, the two cutters cut from both sides of the smoke-generating section toward the middle.

[0044] S4: Determine whether the position of the receptor is the same in multiple slicing images. If so, proceed to step S5; otherwise, adjust the second telescopic cylinder according to two adjacent slicing images and proceed to step S3.

[0045] Here, the second telescopic cylinder is located at one end of the winding section near the sensor feeding section;

[0046] When performing step S4, if the positions of the receptors are different in multiple slicing images, two adjacent slicing images are acquired. The direction in which the position of the receptor in the later slicing image is relative to the position of the receptor in the earlier slicing image is recorded as the first adjustment direction. The second telescopic cylinder is driven to deflect the end of the winding section near the receptor feeding section by a unit angle in the first adjustment direction, and step S3 is executed.

[0047] S5: Determine whether the position of the receptor in the multiple segmented images is always in the middle of the smoke-generating section; if so, do not perform the operation; otherwise, adjust the first telescopic cylinder according to the position of the receptor and return to step S3.

[0048] It should be noted that the number of the first telescopic cylinders is at least one, and multiple first telescopic cylinders are evenly arranged around the sensor limiting plate.

[0049] When performing step S5, if the position of the sensor in the multiple sectional images is not located in the middle of the smoke-generating section, the direction of the middle position of the smoke-generating section relative to the position of the sensor in the sectional image is obtained and recorded as the second adjustment direction. The first telescopic cylinder is driven to adjust the sensor limiting plate to move a unit distance in the second adjustment direction, and step S3 is executed.

[0050] Example 2: As before Figure 1 As shown, this is only one embodiment of the present invention. Based on embodiment one, in the image recognition-based receptor implantation correction method of the present invention, the number of cameras is at least two.

[0051] Furthermore, the sensor feeding section is equipped with a sensor unwinding reel, and the paper feeding section is equipped with a paper unwinding reel.

[0052] Finally, the guide hole is an M-shaped hole.

[0053] This invention discloses a sensor implantation correction method based on image recognition. By using image recognition to analyze the slicing image of the smoke-generating section after sensor implantation, the orientation of the take-up section and the sensor feeding guide position are adjusted, thereby effectively adjusting the sensor to the middle of the heated non-combustible cigarette, resulting in uniform heating and a better smoking experience.

[0054] This invention is not limited to the specific embodiments described above, and various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made to the above embodiments based on the technical essence of this invention should be included within the scope of protection of this invention.

Claims

1. A method for correcting implantation deviation based on image recognition, applicable to implantation of receptors into a paper rolling machine; the machine includes a receptor feeding section, a tobacco feeding section, a paper rolling section, a winding section, and a slitting section; the slitting section is equipped with a camera; a receptor limiting plate is provided between the receptor feeding section and the winding section; the receptor limiting plate is provided with a guide hole for facilitating the passage of the receptor; the receptor limiting plate is connected to a first telescopic cylinder; the winding section is connected to a second telescopic cylinder; both the first and second telescopic cylinders are electrically connected to a controller. Its features are: The method includes the following steps: S1: When the wrapping machine starts, the camera and controller are activated; S2: Determine whether the sensor feeding section, tobacco feeding section, and paper feeding section are feeding normally. If yes, proceed to step S3; otherwise, do not perform the operation. S3: When the slitting section cuts the smoke-generating section of the winding, the camera continuously acquires at least two images of the slitting surface; S4: Determine whether the position of the receptor is the same in multiple slicing images. If so, proceed to step S5; otherwise, adjust the second telescopic cylinder according to two adjacent slicing images and proceed to step S3. S5: Determine whether the position of the receptor in the multiple segmented images is always in the middle of the smoke-generating section; if so, do not perform the operation; otherwise, adjust the first telescopic cylinder according to the position of the receptor and return to step S3.

2. The image recognition-based receptor implantation correction method according to claim 1, characterized in that: When executing step S1, after the controller starts, it determines whether the electrical connection with the camera is normal. If so, it executes step S2; otherwise, it issues an alarm.

3. The image recognition-based receptor implantation correction method according to claim 1, characterized in that: When performing step S2, it is determined in sequence whether the sensor feeding section, tobacco feeding section and paper feeding section are all feeding normally. If they are all feeding normally, step S3 is executed; otherwise, an abnormal feeding section is indicated.

4. The image recognition-based receptor implantation correction method according to claim 1, characterized in that: The slitting section includes two cutting blades, which are arranged symmetrically to each other; When performing step S3, the two cutters cut from both sides of the smoke-generating section toward the middle.

5. The image recognition-based receptor implantation correction method according to claim 1, characterized in that: The second telescopic cylinder is located at one end of the winding section near the sensor feeding section; When performing step S4, if the positions of the receptors are different in multiple slicing images, two adjacent slicing images are acquired. The direction in which the position of the receptor in the later slicing image is relative to the position of the receptor in the earlier slicing image is recorded as the first adjustment direction. The second telescopic cylinder is driven to deflect the end of the winding section near the receptor feeding section by a unit angle in the first adjustment direction, and step S3 is executed.

6. The image recognition-based receptor implantation correction method according to claim 1, characterized in that: The number of the first telescopic cylinders is at least one, and the multiple first telescopic cylinders are evenly arranged around the sensor limiting plate; When performing step S5, if the position of the sensor in the multiple sectional images is not located in the middle of the smoke-generating section, the direction of the middle position of the smoke-generating section relative to the position of the sensor in the sectional image is obtained and recorded as the second adjustment direction. The first telescopic cylinder is driven to adjust the sensor limiting plate to move a unit distance in the second adjustment direction, and step S3 is executed.

7. The image recognition-based receptor implantation correction method according to claim 1, characterized in that: The number of cameras is at least two.

8. The image recognition-based receptor implantation correction method according to claim 1, characterized in that: The sensor feeding section is equipped with a sensor unwinding reel, and the paper feeding section is equipped with a paper unwinding reel.

9. The image recognition-based receptor implantation correction method according to claim 1, characterized in that: The guide hole is an M-shaped hole.

Images