On-line quality detection system for movable band-shaped material

Abstract

The invention relates to an on-line quality detection system of motion belt material, comprising a parallel image sensor group constituted by at least two high-resolution linear CCD, a set of image transmission and process systems composed of a push-in local area network constituted by at least two DSP and a lighting system suitable for motion belt material. A high-speed CCD signal digital multiple circuit, an automatic control circuit of CCD sampling frequency based on the motion belt material speed, a data communication interface circuit between the CCD and DSP are built, then the real-time acquisition of the motion belt material image is realized without an image acquisition card and at the same time the strong image processing function of TMS320C6416 is applied on the image processing for the quality detection the motion belt material thus the collected image does not deform. The system is especially suitable for on-line quality detection of the motion belt material such as plastic film, textile fabric, paper or the like.

Description

technical field [0001] The invention belongs to the field of linear array image sensing technology and embedded development technology, in particular to an online quality detection system based on a linear image sensor array for detecting quality information of moving strip materials. Background technique [0002] There are generally two schemes for the detection system at present: one is the detection system based on PC, and the other is the detection system based on DSP. Although the powerful resource advantages of general-purpose PCs are unmatched by other systems, high consumption is also a major drawback of this system. It can only provide moderate video processing capabilities and occupy almost all of the processing capabilities of the CPU. In addition, the system is too large. Huge, these factors have caused inconvenience in industrial applications, and are mostly used in algorithm research and simulation stages of video acquisition and video processing; DSP-based det...

AI Technical Summary

Problems solved by technology

Manual visual inspection not only has the disadvantages of high labor intensity, low efficiency, easy to be affected by human factors, high false detection rate and missed detection rate, but also causes serious damage to workers' vision

Manual inspection generally can only detect "40% to 60%" of defects

Check the patents on online detection of strip materials applied at home and abroad, and understand that the detection of strip materials is limited to steel, glass, printed matter, etc., such as patent 200710051862.7, an online detection device for float glass defects based on machine vision; patent 200410061395 An online detection device for printed matter quality; patent 200720067927 is an online detection system for strip steel waves. These systems are all online detection systems based on industrial computers, and none of them involve the online quality of the linear image sensor array for moving strip materials based on DSP. The detection system, especially the multi-line array CCD array image acquisition does not require key technologies such as image acquisition card and adaptive synchronous control for high-speed real-time detection, and the detection system is very specific and cannot be flexibly applied to other detection systems

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