In the screw production line, when different specifications of screws such as M3, M5, M12 mixed together in the rapid flow, have you ever worried about the product quality problems caused by omission and misdiagnosis? In the face of only 0.1 mm difference in diameter screws, manual sorting is not only inefficient, but also easy to cause errors due to visual fatigue. So, how to let the production line automatically “see” the size of each screw code?
The in-line projection image measuring instrument provides an intelligent solution for screw size control through non-contact optical inspection. By projecting an image of the screw. When the screw enters the inspection area, the device instantly captures its contour features and extracts key parameters through image processing algorithms:
I. Multi-dimensional parameter analysis
For screw height, the system calculates the perpendicular distance between the threaded segment and the nut through edge detection technology; diameter measurement adopts sub-pixel level edge fitting, with an accuracy of micron level; thread angle analysis relies on the change rule of gray scale of the image, combined with the trigonometric function model to restore the data of the thread rising angle.
II. Intelligent specification adaptation
The device has a built-in database of mainstream screw specifications such as M3-M24 and supports customized parameter templates. When switching production models, the operator only needs to call the corresponding program, the system can automatically adjust the detection threshold. For example, when switching from M5 to M12 detection, the device will simultaneously optimize the imaging exposure time and algorithm weights to ensure the clarity of the imaging of screws of different sizes.
III. Advantages of production line integration
Its embedded design can be seamlessly connected to the automated production line. When the screw passes through the inspection station, the device completes the whole process of image acquisition, data analysis and result determination within 0.3 seconds. At the same time when the non-conforming product triggers the automatic rejection device, the system will generate a quality inspection report containing the dimensional deviation value, which provides data support for process optimization.
Are you looking for a solution to make your production line “self-check”? For more application examples or technical details, please feel free to leave a comment!
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