Intelligent sorting system for batch detection of pearl shapes based on machine vision

Abstract

The invention discloses an intelligent sorting system for batch detection of pearl shapes based on machine vision. The intelligent sorting system comprises a frame-shaped support used for bearing equipment. A feeding mechanism is arranged at one end of the frame-shaped support, a vision detection mechanism is arranged in the middle of the frame-shaped support, a sorting mechanism is arranged at the other end of the frame-shaped support, and a conveying belt is arranged on the lower portion of the frame-shaped support. Three upper shaping plates on the upper portion and three upper shaping plates on the lower portion are arranged on the conveying belt, wherein the upper shaping plates are distributed evenly. Holes are formed in the middles of the upper shaping plates in a staggered mode. The feeding mechanism comprises a square hopper, a connecting rod and a vibrating motor. The vision detection mechanism comprises a camera, an LED surface light source, a computer, a driving motor, a rail connecting rod and a lower shaping plate. The sorting mechanism comprises a sorting robot and a sorting container. The sorting robot is arranged over the upper shaping plates. The intelligent sorting system can automatically complete simultaneous detection of a plurality of pearls and carry out sorting, the sizes of the pearls can be further screened through combination of a plurality of lines,the structure is simple, the manufacturing cost is low, batch detection can be achieved, and using and maintenance are convenient.

Description

technical field [0001] The invention relates to detection based on machine vision, in particular to an intelligent sorting system for batch detection of pearl shapes based on machine vision. Background technique [0002] China's freshwater pearl production accounts for more than 95% of the world's pearl production, and its output value only accounts for 10% of the global pearl output value. The realization of automatic pearl sorting based on machine vision is extremely important for improving the output value of the entire industry. According to the promulgation of the national grading standard for cultured pearls (GB / T 18781-2008), the grading standards for pearls are clearly stipulated, and there are clear indicators for the grading of shape, color, size, and smoothness. To realize automatic sorting by machines, the first step is to The technical problem to be solved is the acquisition of the pearl image. The image is flat and the pearl is three-dimensional. Only by obtain...

AI Technical Summary

Problems solved by technology

The shortcomings of this invention in terms of image acquisition technology: multiple high-speed cameras are used to obtain the surface of the pearl from different angles, which increases the cost; on the other hand, when grading the shape of the pearl, the distance between each camera and the pearl must be guaranteed It is difficult to unify, and the transparency of the glass tube is very high. Improper treatment of the light source will also cause reflection and refraction to affect the detection

The invention has disadvantages in image acquisition: fixed-point shooting makes it difficult to realize production, and the feeding action mechanism is complicated. The detection of each pearl requires the movement of the movable ejector rod, which is easy to wear, increases the cost and prolongs the pearl sorting time.

[0005] The above two examples are two kinds of single pearl detection methods. Although single detection has incomparable advantages in accuracy, the efficiency problem is obvious; if batch detection is required, batch detection equipment is required, and the cost is high

Images