①Project requirement
The top camera photographing thin film, and the bottom camera photographing magnetic sheet,and then perform alignment and bonding.
②Core technology
Mechanical arm perform alignment and bonding.
③Project difficulties
After the film photography is completed, it needs to be rotated 90°before bonding. The conventional bonding method is unstable and has a large error in actual testing.
④Project solution
Find the center of the circle and the center point of the quadrilateral on the camera, with the far center as the fitting point, and the angle between the center of the circle and the center of the quadrilateral as the fitting angle. Find the center point and circle center of the quadrilateral of the camera film, with the circle center as the fitting point and the line connecting the circle center and the center of the quadrilateral as the fitting angle.
First, calculate the virtual point position after rotating the center of the circle by 90 degrees, and then use this point position for single point alignment.
⑤Project outcomes and values
Providing customers with hardware and software supporting equipment, the overall solution is fast to build and highly practical. Assist customers in resolving unstable fitting situations and ensure product quality.
①Project requirement
• Check the pen tips of 10 pen cores at once for the presence of black ink and transparent ink sizes.
• Perform vision debugging and equipment acceptance.
• Customized interface production.
②Core technology
Combination use of multi product condition detection and logic modules.
③Project difficulties
• The types of product pen refills are inconsistent, and there are differences in imaging.
• Inaccurate distance detection.
④Project solution
• Reduce the difference after binarizing the image.
• Identify the starting and ending points separately, and then measure them with dots.
⑤Project outcomes and values
• Providing customers with software and hardware supporting equipment, the overall solution construction speed is fast.
• Customers can edit and design the interface themselves, with low probability of false positives and false negatives, meeting quality inspection requirements.
Analyze requirements |
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Identify project requirements |
Examples include detecting defects, measuring dimensions, recognizing characters, etc |
Environmental conditions |
Lighting conditions, background complexity, the type and characteristics of the target object, etc |
Systematic design |
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Hardware option |
Camera, lens, light , and processor, ect |
Software design |
Select or develop appropriate image processing algorithms and software platforms |
Systematic integration |
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Hardware integration |
Install the camera, lens, and light in place |
Software integration |
The image processing algorithm is embedded in the control system |
Testing and optimization |
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Conduct system tests |
Performance of the system is tested in the actual working environment |
Parameter adjustment |
According to the test results, the camera parameters, light source brightness, algorithm parameters, etc |
Deployment and Maintenance |
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System deployment |
The tested and optimized system is deployed to a real application scenario |
Maintenance and upgrades |
Maintain the system regularly, solve problems that may arise, and upgrade software and hardware as needed |
Application area: industrial automation, robot navigation and control, traffic management, medical imaging, agriculture and food safety, security monitoring, retail and logistics, education and research, smart home.
Brief introduction:
The customization solutions of machine vision needs to be designed and implemented according to the specific application requirements. Cooperation with experts in related fields can better ensure the feasibility and effectiveness of the program.