Intelligent pearl sorting system based on machine vision
A machine vision and sorting system technology, applied in sorting, solid separation, chemical instruments and methods, etc., can solve the problems of high transparency requirements of glass tubes, complicated feeding action mechanism, and prolonged pearl sorting time, etc. The effect of reducing the acquisition of pearl positions, improving space utilization, and simple structure
Active Publication Date: 2017-11-03
ZHEJIANG FORESTRY UNIVERSITY +1
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Problems solved by technology
The disadvantages of this invention in terms of image acquisition technology: multiple high-speed cameras are used to obtain the pearl surface from different angles, which increases the cost; on the other hand, when grading the pearl color, the color system of each camera 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 phenomena such as reflection and refraction to affect the detection
The disadvantages of this invention: fixed-point shooting, unable to obtain the entire surface, 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 maintenance cost and prolongs the pearl sorting time
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[0029] See attached figure 1 with figure 2 shown
[0030] The present invention consists of a feeding mechanism (15) that controls the feeding of pearls to be detected (16) one by one, a monocular full-surface pearl image acquisition device (25) for photographing the pearls to be detected (9), and a pearl image acquisition device (25) for detecting pearls to be detected (9) Conical sorting area (6) for temporary storage, sorting robot (5) for sorting, and unloading and re-sorting mechanism (20) that can be used for size sorting.
[0031] Such as figure 2 with image 3 As shown, the feeding mechanism (15) includes: a hopper, a dial needle (14), a motor (13), a spring (11), a striker (12), and a fur surface (26); the pearl to be detected (16) enters the hopper After falling onto the fur surface (26), due to the friction force, the pearl to be detected (16) is still on the fur surface (26), and the rotation of the motor (13) drives the dial needle (14) to rotate, and the di...
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The invention discloses an intelligent pearl sorting system based on machine vision. The intelligent pearl sorting system is composed of a feeding mechanism used for controlling feeding of pearls to be detected one by one, a monocular full-surface pearl image acquiring device used for shooting the pearls to be detected, a tapered sorting area used for temporarily storing the pearls to be detected, a sorting robot used for sorting the detected pearls and a discharging re-separating mechanism used for size separation. According to the system, full-surface images of the pearls can be obtained through one camera, the structure is simple, the cost is low, operation is convenient, and the images acquired through the sealing device are high in quality and are not interfered by other light sources or other factors; meanwhile, the system is suitable for index detection of various qualities such as the shape, the color, the size and the finish degree of the pearls; by adopting the three-dimensional discharging re-separating device, the number of classification containers is decreased, and the space utilization rate is increased.
Description
technical field [0001] The invention relates to detection based on machine vision, in particular to a pearl intelligent sorting system 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. At present, the sorting method used by enterprises in our country is basically the traditional manual method. This method requires a lot of labor, is slow, and consumes a lot of manpower. At the same time, this subjective evaluation is subject to personal vision, color discrimination, emotion, light Influenced by various aspects, it is impossible to quantify and unify the evaluation basis, and only a single index can be screened when grading, which is not only inefficient but also poor in accuracy. Therefore, realizing the automatic sorting of pearls based on machine vision is extremely important for improving the out...
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IPC IPC(8): B07C5/34B07C5/342B07C5/02B07C5/36B07B1/28B07B1/46
CPCB07B1/28B07B1/4609B07B2230/04B07C5/02B07C5/34B07C5/3425B07C5/362B07C2501/0063
Inventor寿国忠叶佳英邓飞赵大旭王佩欣王毓综
OwnerZHEJIANG FORESTRY UNIVERSITY