A visual inspection device for shaped blocks

Abstract

The application discloses a kind of visual detection devices for forming block, it is related to code board device technical field, including support;The application is convenient for visual detection to the forming block by the use of image acquisition component, to facilitate to judge whether the block is qualified;The program control of driving motor makes driving motor rotate set angle each time, ensure that block is accurately positioned on conveying belt, ensure that every block can accurately stay under camera, provide accurate image data for analysis module, to ensure the accuracy of detection result;Support plate one drives block to move, avoid block and conveying belt friction damage;The current of energized spring is slowly weakened, so that the forming block does not collide between placing plate, and the deformation of the forming block does not occur;The setting of inclined block makes support plate two and support plate one keep horizontal state with the lower surface of the forming block after energized spring is completely powered off, in the process of support plate one is extracted, will not affect the placement of the forming block.

Description

Technical Field

[0001] This invention relates to the field of slab-forming device technology, and more particularly to a visual inspection device for forming blocks. Background Technology

[0002] In the modern construction industry, blocks are an important building material, and their production efficiency and quality control are of paramount importance. Block forming machines play a key role in the block production process, while the online quality inspection and sorting of blocks directly affect the final product qualification rate and overall production efficiency.

[0003] Traditional block quality inspection mostly relies on manual visual inspection of each formed block. Manual inspection is not only inefficient and difficult to meet the needs of large-scale industrial production, but also the accuracy of inspection is greatly affected by human factors, which can easily lead to missed inspections or misjudgments. At the same time, some unqualified blocks with minor cracks, size deviations or uneven colors may be missed and flow into the subsequent stacking and use stages, which poses a potential threat to the quality of construction.

[0004] Currently, there are some methods that attempt to automatically detect blocks, but most of them rely on contact sensors or simple photoelectric switches. These methods can usually only detect the presence or general outline of blocks, and cannot effectively and comprehensively quantify the precise size, color uniformity, surface cracks and other minor appearance defects of blocks.

[0005] Therefore, developing a non-contact, high-precision automated visual inspection system capable of simultaneous multi-parameter detection and efficiently integrating it into the production line is of great significance for achieving accurate and rapid judgment and sorting of block quality and improving the level of automation in block production. Summary of the Invention

[0006] In order to solve the problems in the background art, the present invention proposes a visual inspection device for forming blocks.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] A visual inspection device for forming blocks includes a support frame, in which a connecting shaft one and a connecting shaft two are symmetrically rotatable. Conveying rollers are fixed to the outer walls of the connecting shaft one and the connecting shaft two, and the conveying rollers are connected to each other by a conveyor belt. A drive motor is provided at one end of the connecting shaft one.

[0009] The bracket is equipped with an image acquisition component and a pushing mechanism for pushing blocks. The control device is equipped with an image processor and an analysis module.

[0010] The analysis module processes the image data transmitted from the acquisition module and compares it with the image data of the standard sample to determine whether the size and color of the test block are up to standard. If both are up to standard, the test block is determined to be a qualified product; otherwise, it is determined to be a defective product, a pushing signal is generated, and the pushing signal is transmitted to the execution module.

[0011] Preferably, the pushing mechanism includes a support frame and a placement plate mounted on a bracket, the support frame being provided with an electric push rod, and the movable end of the electric push rod being provided with a push plate.

[0012] Preferably, the image acquisition component includes a stand mounted on the top surface of the bracket and a camera mounted on the inner top surface of the stand, and the front end of the bracket is provided with a control device that cooperates with the camera.

[0013] Preferably, the control device includes an image processor and a controller, wherein the image processor is electrically connected to the camera via a wire, and the controller is electrically connected to the electric actuator via a wire.

[0014] Preferably, a support rod is inclinedly provided on the bottom surface of the support frame, and one end of the support rod is fixedly connected to the bracket.

[0015] Preferably, the conveyor belt is provided with a plurality of sliding rails, and a slider is slidably connected to the inner side of the sliding rail. The end of the slider away from the push plate is rotatably connected to a support plate via a rotating shaft. The placement plate is provided with a plurality of mounting holes, and the spacing between adjacent mounting holes is equal to the spacing between adjacent sliding rails.

[0016] Preferably, the image processor also includes an acquisition module and an execution module.

[0017] The acquisition module collects image data of the shaped blocks and transmits the collected image data to the analysis module;

[0018] After receiving the pushing signal from the analysis module, the execution module controls the electric push rod to move the push plate, causing the push plate to press the slider inside the sliding rail closer to the placement plate. The forming block on support plate one moves accordingly. After the electric push rod reaches the set distance, the electromagnet at support plate two is de-energized. Under the action of gravity, the forming block presses down on support plate two, causing one end of support plate two to rotate downwards. After the energized spring is completely de-energized, support plate one and support plate two are no longer in contact with the forming block. The forming block is placed on the inclined block of the placement plate. During the reset process of the electric push rod, the slider drives support plate one to reset under the action of the telescopic spring.

[0019] Preferably, the steps for the analysis module to determine whether the dimensions are acceptable are as follows:

[0020] S1: Set up a standard sample, perform grayscale processing on the acquired standard sample image data, and divide the grayscale processed image into grayscale blocks of the same size according to the pixel block size. Number the corresponding grayscale blocks according to their row and column numbers after segmentation. Obtain the grayscale value of the grayscale block corresponding to the standard sample, and calculate the average grayscale value of the grayscale block within the corresponding region of the standard sample. and grayscale standard deviation The calculated grayscale mean and grayscale standard deviation Set the grayscale value fluctuation range for the grayscale block, and set the fluctuation range to [range to be specified]. ;

[0021] S2: Perform grayscale processing and pixel block segmentation on the image data of the formed blocks. Then, acquire the grayscale value of each grayscale block and compare the acquired grayscale value with the fluctuation range. If the grayscale value of the grayscale block is within the fluctuation range, the grayscale block is determined to be a block grayscale block; otherwise, the grayscale block is determined to be a non-block grayscale block.

[0022] S3: Obtain and compare the row and column numbers of the gray blocks. If the gray blocks with adjacent row or column numbers are also gray blocks, then the corresponding area of ​​the gray block is determined to be a block area. Explore the adjacent gray blocks of all gray blocks in the block area. If a gray block has only one column and one row adjacent gray blocks, then mark the gray block as a corner gray block.

[0023] S4: Detect the horizontal and vertical distance data between the gray blocks of the diagonal masonry blocks, and compare the horizontal and vertical distance data with the length and width data of the standard sample respectively. If the difference between the two calculated data is less than the preset difference threshold, the size of the masonry block is deemed to be qualified; otherwise, the size of the masonry block is deemed to be unqualified.

[0024] Preferably, the analysis module performs the following steps to determine if the color is acceptable:

[0025] K1: Randomly select several grayscale blocks within the block area, and perform grayscale value analysis on the corresponding grayscale blocks. The data is retrieved once, and the retrieved grayscale values ​​are arranged in ascending order, with the selected sorting number being [number to be filled in]. and The grayscale data are denoted as follows: and ,spacing Then the fluctuation range of grayscale data is set to... Grayscale data that is outside the fluctuation range is marked as outlier data, and the number of outliers is... If statistics are performed, If the detected grayscale data is abnormal, it is determined that there is an anomaly, and the detection is repeated; if the grayscale data after the re-detection still exceeds the proportional coefficient... If the value is more than 10 times the normal value, then the color at the corresponding position of the grayscale block is considered abnormal. This is a preset proportional coefficient;

[0026] K2: The number of grayscale blocks identified as having color anomalies. If statistics are performed, If the color of the molded block is found to be substandard, it will be judged as unqualified. This is a preset proportional coefficient. This represents the total number of gray blocks within the block area; otherwise, the color of the tested and formed blocks is deemed acceptable.

[0027] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0028] 1. The use of image acquisition components facilitates visual inspection of the formed blocks, making it easier to determine whether the blocks are qualified and thus facilitating the removal of unqualified blocks, which in turn facilitates the stacking of qualified blocks; the use of the pushing mechanism facilitates the pushing of unqualified blocks onto the placement plate, preventing unqualified blocks from piling up with qualified blocks, thus facilitating the stacking of qualified blocks.

[0029] 2. After identifying the block area and corner block grayscale blocks through the analysis module, the distance between the corner block grayscale blocks is compared with the length and width data of the standard sample to determine whether the block size is qualified. This effectively prevents unqualified blocks from entering subsequent stages, ensuring the consistency of product specifications and guaranteeing the accuracy of block use in building construction. The number of grayscale blocks with abnormal colors is used to determine whether the block color is qualified, preventing blocks with unqualified colors from affecting the overall aesthetics and product quality.

[0030] 3. The drive motor is programmed to rotate at a set angle each time, ensuring precise positioning of the blocks on the conveyor belt. This ensures that each block accurately stops below the camera, allowing for complete image capture and providing accurate image data for the analysis module, thus guaranteeing the accuracy of the detection results. Support plate one moves the blocks, preventing friction damage between the blocks and the conveyor belt. The current of the energized spring gradually decreases, preventing collisions between the formed blocks and the placement plate that could cause deformation. The tilting block ensures that support plate two and support plate one remain horizontal with the lower surface of the formed blocks after the energized spring is completely de-energized, preventing any impact on the placement of the formed blocks during the removal of support plate one. Attached Figure Description

[0031] Figure 1A schematic diagram of the structure from a frontal view provided according to an embodiment of the present invention is shown;

[0032] Figure 2 A schematic diagram of the structure from a rear viewpoint provided according to an embodiment of the present invention is shown;

[0033] Figure 3 A schematic cross-sectional view of the structure provided in an embodiment of the present invention is shown;

[0034] Figure 4 A system flowchart according to an embodiment of the present invention is shown.

[0035] Legend:

[0036] 1. Bracket; 2. Connecting shaft one; 3. Control equipment; 4. Stand; 5. Conveyor belt; 6. Push plate; 7. Electric push rod; 8. Support frame; 9. Placement plate; 10. Drive motor; 11. Camera; 12. Conveyor roller; 13. Connecting shaft two; 14. Support rod; 15. Mounting hole; 16. Sliding rail. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] Please see Figure 1 - Figure 4 The present invention provides a technical solution:

[0039] A visual inspection device for forming blocks includes a support 1, with support legs bolted to the four corners of the bottom surface of the support 1 for supporting the support 1; a connecting shaft 1 2 and a connecting shaft 2 13 are symmetrically rotatably arranged inside the support 1, and conveying rollers 12 are fixed to the outer walls of the connecting shaft 1 2 and the connecting shaft 2 13, and the conveying rollers 12 are connected to each other by a conveyor belt 5; a drive motor 10 is provided at one end of the connecting shaft 1 2; the mutual cooperation between the drive motor 10, the conveying rollers 12, the connecting shaft 1 2, the connecting shaft 2 13 and the conveyor belt 5 facilitates the movement of the formed blocks, thereby facilitating the stacking of the formed blocks and improving the efficiency of block stacking;

[0040] The support frame 1 is equipped with an image acquisition component, which facilitates visual inspection of the formed blocks, making it easier to determine whether the blocks are qualified and thus facilitating the removal of unqualified blocks and the stacking of qualified blocks. The support frame 1 is also equipped with a pushing mechanism for pushing blocks. The pushing mechanism facilitates the pushing of unqualified blocks onto the placement plate 9, preventing unqualified blocks from piling up with qualified blocks, thus facilitating the stacking of qualified blocks.

[0041] In this invention, the pushing mechanism includes a support frame 8 and a placement plate 9 mounted on a bracket 1. The placement plate 9 is fixedly mounted on the bracket 1 by bolts and is used for placing unqualified blocks. An electric push rod 7 is provided on the support frame 8 and is mounted on the support frame 8 by bolts and is used to drive the movement of the push plate 6. The movable end of the electric push rod 7 is provided with the push plate 6.

[0042] In this invention, the image acquisition component includes a stand 4 mounted on the top surface of the support 1 and a camera 11 mounted on the inner top surface of the stand 4. The front end of the support 1 is provided with a control device 3 that cooperates with the camera 11. The control device 3 includes an image processor and a controller. The image processor and the camera 11 are electrically connected by a wire, and the controller and the electric push rod 7 are electrically connected by a wire. The camera 11 acquires images of the blocks and then transmits the images to the image processor in the control device 3. The image processor processes the images and the controller controls the electric push rod 7 to move the push plate 6, thereby pushing the unqualified blocks onto the placement plate 9 to remove the unqualified blocks.

[0043] In this invention, a support rod 14 is inclinedly provided on the bottom surface of the support frame 8, and one end of the support rod 14 is fixedly connected to the bracket 1. The use of the support rod 14 facilitates the support of the support frame 8, thereby improving the stability of the support frame 8.

[0044] In this invention, a plurality of sliding rails 16 are evenly arranged on the conveyor belt 5. A slider is slidably connected to the inner side of the sliding rail 16. The slider slides freely within the sliding rail 16 and is restricted by the limiting structures at both ends of the sliding rail 16, preventing the slider from detaching from the sliding rail 16. A telescopic spring is installed between the slider and the end of the sliding rail 16 near the push plate 6. With the telescopic spring, after the slider slides to one side under the push of the push plate 6, it can automatically return to its original position under the contraction of the telescopic spring. The end of the slider away from the push plate 6 is rotatably connected to a support plate 1 via a rotating shaft. The formed block is placed on the support plate 1. When the block moves under the push of the push plate 6, there is no friction between the formed block and the conveyor belt 5, reducing damage to the formed block. A plurality of mounting holes 15 are evenly opened on the placement plate 9. Inclined blocks are also provided on both sides of the placement plate 9 corresponding to the mounting holes 15. The slope of the inclined blocks is away from the support 1, so that the support plate 2 and support plate 1 are in a state of electric spring. After the spring is completely de-energized, it remains horizontal with the lower surface of the formed block. During the removal of the support plate 1, it will not affect the placement of the formed block. The size of the mounting hole 15 is the same as that of the support plate 1. The side of the mounting hole 15 closest to the bracket 1 is rotatably connected to the support plate 2 via a rotating shaft. The size of the support plate 2 is the same as that of the support plate 1. The other end of the support plate 2 is connected to the other side of the inner wall of the mounting hole 15 via an energized spring. Electromagnets are provided at corresponding positions on the other side of the inner wall of the support plate 2 and the mounting hole 15. By energizing the electromagnet on the placement plate 9, the electromagnet inside the mounting hole 15 attracts the electromagnet on the support plate 2, keeping the support plate 2 and the upper surface of the placement plate 9 horizontal. After the electromagnet is de-energized, the current of the energized spring gradually decreases, causing the angle between the support plate 2 and the placement plate 9 to gradually increase under the action of gravity. This prevents the formed block from colliding with the placement plate 9 and causing deformation of the formed block. The distance between adjacent mounting holes 15 is equal to the distance between adjacent sliding rails 16.

[0045] The control device 3 is equipped with an image processor, which contains an acquisition module, an analysis module, and an execution module.

[0046] The acquisition module collects image data of the shaped blocks and transmits the collected image data to the analysis module;

[0047] The analysis module processes the image data transmitted from the acquisition module and compares it with the image data of the standard sample to determine whether the size and color of the test block are qualified. If both are qualified, the test block is determined to be a qualified product; otherwise, the test block is determined to be a defective product, a pushing signal is generated, and the pushing signal is transmitted to the execution module.

[0048] A standard sample is set up. The acquired standard sample image data is processed in grayscale. The grayscale processed image is then segmented into grayscale blocks of the same size according to the pixel block size. The corresponding grayscale blocks are numbered according to their row and column numbers. The grayscale values ​​of the grayscale blocks corresponding to the standard sample are obtained, and the average grayscale value of the grayscale blocks in the corresponding region of the standard sample is calculated. and grayscale standard deviation The calculated grayscale mean and grayscale standard deviation Set the grayscale value fluctuation range for the grayscale block, and set the fluctuation range to [range to be specified]. ;

[0049] The image data of the formed blocks is processed for grayscale and segmented into pixel blocks. Then, the grayscale value of each grayscale block is obtained and compared with the fluctuation range. If the grayscale value of the grayscale block is within the fluctuation range, the grayscale block is determined to be a block grayscale block; otherwise, the grayscale block is determined to be a non-block grayscale block. The row number and column number of the grayscale block are obtained and compared. If the grayscale blocks with adjacent row numbers or adjacent column numbers of the block grayscale block are also block grayscale blocks, the corresponding area of ​​the grayscale block is determined to be a block area. All gray blocks within the block area are examined in relation to adjacent gray blocks. If a gray block has only one column-adjacent and one row-adjacent gray block, it is marked as a corner gray block. The horizontal and vertical distances between corner gray blocks are measured and compared with the length and width data of a standard sample. If the difference between the two calculated data is less than a preset difference threshold, the dimensions of the tested molded block are deemed acceptable; otherwise, the dimensions of the tested molded block are deemed unacceptable.

[0050] Randomly select several grayscale blocks within the block area, and perform grayscale analysis on the corresponding grayscale blocks. The data is retrieved once, and the retrieved grayscale values ​​are arranged in ascending order, with the selected sorting number being [number to be filled in]. and The grayscale data are denoted as follows: and ,spacing Then the fluctuation range of grayscale data is set to... Grayscale data that is outside the fluctuation range is marked as outlier data, and the number of outliers is... If statistics are performed, If the detected grayscale data is abnormal, it is determined that there is an anomaly, and the detection is repeated; if the grayscale data after the re-detection still exceeds the proportional coefficient... If the value is more than 10 times the normal value, then the color at the corresponding position of the grayscale block is considered abnormal. This is a preset proportional coefficient;

[0051] The number of grayscale blocks that are judged to have color anomalies If statistics are performed, If the color of the molded block is found to be substandard, it will be judged as unqualified. This is a preset proportional coefficient. This represents the total number of gray blocks within the block area; conversely, if the number is less than a certain value, the color of the tested and formed blocks is deemed acceptable.

[0052] After receiving the pushing signal from the analysis module, the execution module controls the electric push rod 7 to push the push plate 6 to move, causing the push plate 6 to press the slider inside the sliding rail 16 closer to the placement plate 9. The forming block on the support plate 1 moves accordingly. After the electric push rod 7 reaches the set distance, the electromagnet at the position of the support plate 2 is de-energized. Under the action of gravity, the forming block presses down on the support plate 2, causing one end of the support plate 2 to rotate downwards. After the energized spring is completely de-energized, the support plate 1 and support plate 2 are no longer in contact with the forming block. The forming block is placed on the inclined block of the placement plate 9. During the reset process of the electric push rod 7, the slider drives the support plate 1 to reset under the action of the telescopic spring.

[0053] Working principle: Start the drive motor 10, the output shaft of the drive motor 10 rotates to drive the connecting shaft 2 to rotate, which in turn drives the conveyor roller 12 to rotate. The drive motor 10 is set by the control program to rotate only a set angle each time, so that the distance the conveyor belt 5 advances each time is equal to the distance between the adjacent sliding rails 16, thereby driving the conveyor belt 5 to rotate; then the formed block is placed on the conveyor belt 5, and the block moves by the rotation of the conveyor belt 5.

[0054] When the block moves below the camera 11, the camera 11 captures an image of the block and transmits the image to the image processor in the control device 3, as follows:

[0055] When the blocks are qualified, after processing by the image processor, the electric push rod 7 will not be activated. Then, the blocks will move to the other end of the conveyor belt 5 and be stacked together.

[0056] When the block is unsuitable, after processing by the image processor, the controller will open the electric push rod 7. The movable end of the electric push rod 7 extends, driving the push plate 6 to move. The push plate 6 approaches the sliding rail 16 on the conveyor belt 5 and contacts and adheres tightly to the slider on the sliding rail 16. Then, it pushes the slider and the support plate to move away from the support frame 8. The slider and the support plate slide inside the sliding rail 16, so that the formed block will not contact the surface of the conveyor belt 5 and will not be damaged due to friction. The slid-out support plate aligns with the mounting hole 15 on the placement plate 9. When the length of the electric push rod 7 reaches After setting the distance, push plate 6 pushes one end of support plate one to be flush with the end of support plate two where the energized spring is installed. The electromagnet at the position of support plate two is de-energized, and the current supplied to the energized spring gradually decreases. Under the action of gravity, the formed block presses down on support plate two, causing one end of support plate two to rotate downwards. After the energized spring is completely de-energized, support plate one and support plate two are no longer in contact with the formed block. The formed block is placed on the inclined block of placement plate 9. During the resetting process of electric push rod 7, the slider drives support plate one to reset under the action of telescopic spring, thereby pushing the unqualified block onto placement plate 9.

[0057] The above description of the embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A visual inspection device for forming blocks, comprising a support (1), characterized in that, The bracket (1) is symmetrically rotated with a connecting shaft one (2) and a connecting shaft two (13). A conveying roller (12) is fixedly connected to the outer wall of the connecting shaft one (2) and the connecting shaft two (13). The conveying rollers (12) are connected to each other by a conveyor belt (5). A drive motor (10) is provided at one end of the connecting shaft one (2). The bracket (1) is provided with an image acquisition component, and the bracket (1) is also provided with a pushing mechanism for pushing blocks. The control device (3) is provided with an image processor, and the image processor is provided with an analysis module. The analysis module processes the image data transmitted from the acquisition module and compares it with the image data of the standard sample to determine whether the size and color of the test block are qualified. If both are qualified, the test block is determined to be a qualified product; otherwise, the test block is determined to be a defective product, a pushing signal is generated, and the pushing signal is transmitted to the execution module. The steps for the analysis module to determine whether the dimensions are acceptable are as follows: S1: Set up a standard sample, perform grayscale processing on the acquired standard sample image data, and divide the grayscale processed image into grayscale blocks of the same size according to the pixel block size. Number the corresponding grayscale blocks according to their row and column numbers after segmentation. Obtain the grayscale value of the grayscale block corresponding to the standard sample, and calculate the average grayscale value of the grayscale block within the corresponding region of the standard sample. and grayscale standard deviation The calculated grayscale mean and grayscale standard deviation Set the grayscale value fluctuation range for the grayscale block, and set the fluctuation range to [range to be specified]. ; S2: Perform grayscale processing and pixel block segmentation on the image data of the shaped block. Then, obtain the grayscale value of each grayscale block and compare the obtained grayscale value with the fluctuation range. If the grayscale value of the grayscale block is within the fluctuation range, then the grayscale block is determined to be a block grayscale block. Conversely, the grayscale block is determined to be a non-block grayscale block; S3: Obtain and compare the row and column numbers of the gray blocks. If the gray blocks with adjacent row or column numbers are also gray blocks, then the corresponding area of ​​the gray block is determined to be a block area. Explore the adjacent gray blocks of all gray blocks in the block area. If a gray block has only one column and one row adjacent gray blocks, then mark the gray block as a corner gray block. S4: Detect the horizontal and vertical distance data between the gray blocks of the diagonal masonry blocks, and compare the horizontal and vertical distance data with the length and width data of the standard sample respectively. If the difference between the two calculated data is less than the preset difference threshold, the size of the masonry block is deemed to be qualified; otherwise, the size of the masonry block is deemed to be unqualified. The analysis module performs the following steps to determine if the color is acceptable: K1: Randomly select several grayscale blocks within the block area, and perform grayscale value analysis on the corresponding grayscale blocks. The data is retrieved once, and the retrieved grayscale values ​​are arranged in ascending order, with the selected sorting number being [number to be filled in]. and The grayscale data are denoted as follows: and ,spacing Then the fluctuation range of grayscale data is set to... Grayscale data that is outside the fluctuation range is marked as outlier data, and the number of outliers is... If statistics are performed, If the detected grayscale data is abnormal, it is determined that there is an anomaly, and the detection is repeated; if the grayscale data after the re-detection still exceeds the proportional coefficient... If the value is more than 10 times the normal value, then the color at the corresponding position of the grayscale block is considered abnormal. This is a preset proportional coefficient; K2: The number of grayscale blocks identified as having color anomalies. If statistics are performed, If the color of the molded block is found to be substandard, it will be judged as unqualified. This is a preset proportional coefficient. This represents the total number of gray-scale blocks within the block area. Conversely, if the color of the molded block is not found to be acceptable, it is determined that the color of the block is acceptable.

2. The visual inspection device for forming blocks according to claim 1, characterized in that, The pushing mechanism includes a support frame (8) and a placement plate (9) mounted on a bracket (1). The support frame (8) is provided with an electric push rod (7), and the movable end of the electric push rod (7) is provided with a push plate (6).

3. The visual inspection device for forming blocks according to claim 2, characterized in that, The image acquisition component includes a stand (4) set on the top surface of the bracket (1) and a camera (11) set on the inner top surface of the stand (4). The front end of the bracket (1) is provided with a control device (3) that cooperates with the camera (11).

4. A visual inspection device for forming blocks according to claim 3, characterized in that, The control device (3) includes an image processor and a controller, and the image processor is electrically connected to the camera (11) via a wire, and the controller is electrically connected to the electric push rod (7) via a wire.

5. A visual inspection device for forming blocks according to claim 4, characterized in that, The support frame (8) has a support rod (14) inclined on its bottom surface, and one end of the support rod (14) is fixedly connected to the bracket (1).

6. A visual inspection device for forming blocks according to claim 2, characterized in that, The conveyor belt (5) is provided with a number of sliding rails (16) evenly. A slider is slidably connected to the inner side of the sliding rail (16). The end of the slider away from the push plate (6) is rotatably connected to a support plate through a rotating shaft. The placement plate (9) is provided with a number of mounting holes (15) evenly. The distance between adjacent mounting holes (15) is equal to the distance between adjacent sliding rails (16).

7. A visual inspection device for forming blocks according to claim 6, characterized in that, The image processor also includes an acquisition module and an execution module. The acquisition module collects image data of the shaped blocks and transmits the collected image data to the analysis module; After receiving the push signal from the analysis module, the execution module controls the electric push rod (7) to push the push plate (6) to move, so that the push plate (6) squeezes the slider inside the sliding rail (16) and moves closer to the placement plate (9). The forming block on the support plate 1 moves accordingly. After the length of the electric push rod (7) reaches the set distance, the electromagnet at the position of the support plate 2 is de-energized. The forming block presses down on the support plate 2 under the action of gravity, so that one end of the support plate 2 rotates downward. After the energized spring is completely de-energized, the support plate 1 and support plate 2 do not contact the forming block. The forming block is placed on the inclined block of the placement plate (9). During the reset process of the electric push rod (7), the slider drives the support plate 1 to reset under the action of the telescopic spring.

Images