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Materials real-time detection and foreign body eliminating system based on machine vision

A real-time detection and machine vision technology, applied to instruments, computer components, character and pattern recognition, etc., to achieve the effect of improving detection efficiency, improving image quality and accuracy of material detection and foreign object recognition

Inactive Publication Date: 2008-05-14
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So far, there is no patented technology based on machine vision that can automatically detect the surface of irregularly shaped flakes or blocks, granular dry and fresh fruit raw materials, and can identify and remove various foreign objects such as hair, fibers, and metal shavings

Method used

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  • Materials real-time detection and foreign body eliminating system based on machine vision
  • Materials real-time detection and foreign body eliminating system based on machine vision
  • Materials real-time detection and foreign body eliminating system based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Example 1: Real-time detection of fruit raw materials and foreign matter removal system based on machine vision

[0033] As shown in Figure 1, a machine vision-based real-time detection and foreign matter removal system for fruit raw materials includes a conveying device, a power subsystem, an optical lighting subsystem, an image acquisition subsystem, an image recognition and motion control subsystem, and a foreign matter removal subsystem. and accessories.

[0034] The conveying device includes a transmission belt 5 , rollers, a power system, an elastic coupling 7 and a rotary encoder 8 . The transmission belt 5 is a transparent transmission belt, the two ends of which are respectively wrapped around one of the driven rollers 9 and the second of the driven rollers 10. The transparent transmission belt used not only meets the requirements of food hygiene, but also can transmit light to obtain the tested fruit. The image of the bottom of the raw material can greatly im...

Embodiment 2

[0048] Example 2: Real-time detection and defect removal system for hemispherical objects based on machine vision

[0049] A machine vision-based hemisphere real-time detection and defect removal system differs from the system described in Embodiment 1 in that:

[0050] 1. The optical lighting system is composed of a dome light source illuminated from the top surface, a backlight or an LED light box illuminated from the front;

[0051] 2. The system uses cameras arranged in the upper, lower and circumferential directions to obtain images of the full area of ​​the hemisphere. As shown in Figure 6, three area array cameras 3 in the circumferential direction are separated from each other by 120°, and are installed at the same level as the conveyor belt, and the through-beam optical fiber sensors 4 are symmetrically arranged on the sensor brackets on both sides of the conveyor belt 5; The hemispheres 17 are transported in a single row, so only one set of rejecting device is neede...

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Abstract

The invention discloses a materiel real-time detecting and foreign body removing system based on machine vision, which comprises a transport device, a power subsystem, an optic lighting subsystem, an image acquisition subsystem, an image identification and motion control subsystem, and a foreign body removing subsystem. By utilizing the image information difference between the foreign body and the materiel, such as color, light intensity, morphological difference, a plurality of different foreign bodies, for example, hair, fiber, metal filing, can be detected through intelligent analyzing and identifying of computer. The image of the materiel can be shot simultaneously from top and bottom by using transparent conveyor for transportation, thus the detecting efficiency is improved effectively. By controlling light source via strobe, triggering shooting via optical fiber sensor, and controlling the transport speed of conveyor and the arrangement and adjustment of lamp box, the image quality and the accuracy of materiel detecting and foreign body identification are improved effectively. The foreign body can be removed online intelligently by the controlling of the PLC communicated with the optical fiber sensor, an image pick-up device and a computer.

Description

technical field [0001] The invention relates to a system for real-time detection of flake, block and granular materials and removal of foreign matter, in particular to a system for real-time detection of fruit raw materials and removal of foreign matter based on machine vision. Background technique [0002] my country is a big country in the production of agricultural products. There are not only rich varieties of fruits and vegetables, but also a large output. At the end of the 20th century, the total fruit output in my country ranked second in the world, and the total vegetable output ranked first in the world. Although my country is a country with large fruit and vegetable production, the level of fruit and vegetable processing is relatively backward. More than 90% of the fruits in our country are sold fresh. Since the 1980s, the processing of fruit juice and pulp has been gradually developed. The processing machinery is first imported, imitated, and then partially devel...

Claims

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Application Information

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IPC IPC(8): B07C5/34G06K9/00
Inventor 全燕鸣全思博林子其赵婧
Owner SOUTH CHINA UNIV OF TECH
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