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A multi-camera network-based detection device and method for missing strips in a box

A detection method and camera network technology, applied in packaging, packaging protection, transportation and packaging, etc., can solve problems such as slow start-up speed, large space, unfavorable maintenance management, etc.

Inactive Publication Date: 2016-05-04
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) PCs are not suitable for industrial applications due to their many functions, slow start-up speed, and high cost;
[0005] (2) The device is a complete set of equipment system. For a cigarette factory with multiple assembly lines, it is necessary to equip each assembly line with a set of this device, which greatly increases the production cost and resource consumption of the enterprise; not only occupies a relatively large At the same time, due to the complexity of the equipment, it is not conducive to maintenance and management

Method used

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  • A multi-camera network-based detection device and method for missing strips in a box
  • A multi-camera network-based detection device and method for missing strips in a box
  • A multi-camera network-based detection device and method for missing strips in a box

Examples

Experimental program
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Effect test

Embodiment 1

[0068] Example 1: Such as figure 1 with figure 2 As shown, the detection device includes an infrared light source 1 installed in each box filling and sealing machine. The infrared light source 1 is composed of multiple infrared LED lighting panels and works in the 800-900nm wavelength range. It is fired from both sides of the box. Light. With the aid of an infrared light source, the GigEVision camera 2 located in front of the stacking area of ​​each assembly line obtains the image of the cigarette bar stacking. Each camera 2 is connected to the network through a Gigabit Ethernet switch 3, so a camera network will be formed in the case of multiple pipelines. The camera network sends the acquired image to the industrial computer 5 through a Gigabit Ethernet switch 3. The industrial computer 5 performs image processing on the image of the cigarette stack to analyze whether there is a lack of cigarette sticks. The inspection of the cigarette stack should be after the cigarette s...

Embodiment 2

[0117] Example 2: Such as figure 1 with image 3 As shown, the detection device includes an infrared light source 1 installed in each box filling and sealing machine, and the infrared light source 1 is composed of a plurality of infrared LED lighting panels, which are illuminated from both sides of the packaging box. With the aid of an infrared light source, the GigEVision camera 2 located in front of the stacking area of ​​each assembly line obtains the image of the cigarette bar stacking. Each box packing machine is equipped with a Gigabit Ethernet switch 3, and each camera 2 is connected to the network through the Gigabit Ethernet switch 3. Therefore, a camera network will be formed in the case of multiple assembly lines. The camera network then sends the acquired images to the industrial computer 5 through a Gigabit Ethernet switch 3. The industrial computer 5 performs image processing on the image of the cigarette stack to analyze whether there is a lack of cigarette stick...

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PUM

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Abstract

The invention discloses a device and method for detecting bar lack in a cigarette box based on a multi-camera network. The device comprises infrared light sources, cameras, a PLC and an industrial personal computer, wherein the infrared light sources are used for irradiating stacked cigarette bars in the box, the cameras are used for acquiring infrared images, the PLC is used for acquiring information on the stacking state of the cigarette bars, and the industrial personal computer is used for controlling camera shutters, the infrared light sources and the PLC through an IO control panel. When the stacked cigarette bars are pushed into a package box, the industrial personal computer acquires the stacking state of the PLC and controls the camera shutters to act to acquire images, and the cameras send the images to the industrial personal computer through a wired or wireless network. The device and method for detecting bar lack in the cigarette box based on the multi-camera network are based on an existing system and device for detecting bar lack in the cigarette box, solve the problems of a great number of consumed resources, high production cost, low automation degree and the like in the process of packing the cigarette bars into the box, and meet requirements for simultaneous working of multiple assembly lines in the whole workshop. By means of the device and method for detecting bar lack in the cigarette box based on the multi-camera network, it is ensured that all the cameras can work synchronously in a coordinative mode while it is correctly judged that the cigarette box lacks bars or stacks.

Description

Technical field [0001] The invention relates to a box missing bar detection device and method based on a multi-camera network, and belongs to the field of tobacco production inspection. Background technique [0002] For a long time, in the production process of packing and sealing machines in cigarette factories, the detection of missing strips in cigarette factories has always attracted the attention of cigarette factories. Traditional detection methods have been difficult to adapt to the needs of modernization, automation, high speed and high efficiency. The introduction of machine vision technology has solved the drawbacks of traditional weighing, ray, and end scanning detection methods, and has brought new solutions to the detection of missing bars. [0003] The application number is 200920041260.8, and the utility model name is "Detection device for missing bars in cigarette box of packing and sealing machine". The detection device includes a CCD camera, an infrared flash ligh...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B65B57/14
Inventor 叶莉华彭佩红杭建军薛扣粉崔一平
Owner SOUTHEAST UNIV