LED chip detection method based on machine vision

The LED chip automatic production equipment is mainly rely on imports, expensive, unfavorable to the development of the industry. Some of the small and medium-sized enterprises still stays in the state of the manual or half manual, inefficient. Domestic in the field of LED chip automatic production equipment is still in the development stage, is still not fully independent intellectual property products, thus accelerate its key algorithm research is imperative.

in LED production process, the LED chip detection localization is one of the key technologies. By computer automatically locate the LED chip can effectively reduce the labor intensity of workers, and greatly improve work efficiency, saving a lot of manpower and cost. Under the existing conditions, by installing on the production line of automatic camera to capture the LED chip images, the image analysis using computer vision technology, can accurately obtain the LED chip positioning information ( Including chip Angle and location) With the positioning of the interest can control the LED chip automatic welding.

the LED chip positioning algorithm based on machine vision. First of all, the acquisition of image preprocessing, reduce noise, and locate the chip area and welding area; Then based on the minimum external rectangle pinpoint the inclination of the chip; Finally, by linear detection algorithm to locate the chip area boundary line and weld area boundary line, the two straight lines, with pinpoint the location of the chip on the conveyor belt. The experimental results show that the localization algorithm to obtain these parameters can be used in the welding of the LED chip production control.

pretreatment in the image acquisition process will inevitably produce random noise, so first before get chip positioning parameters of image preprocessing, remove noise affected the accuracy of recognition. In addition, in order to better access to information and welding pieces of chip boundary information, need to be separately in advance through the pretreatment of both areas.

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China industry research network