1. Overview of detection

In the field of industrial production, mechanical processing is a very important link. In the production and processing process, cutting tools are indispensable. However, due to long-term use or poor quality, the cutting edge is not sharp or the entire edge is damaged, which will not only seriously affect the production efficiency, but also have a great impact on the quality of the processed products. adverse effects. Therefore, the detection of tools in cutting processes has gradually received attention. In response to this demand, tool breakage detection technology and equipment have been studied at home and abroad, and some results have been achieved.

2. BK MIKRO broken tool detection device

The BK MIKRO tool breakage detection device is a relatively mature tool breakage detection method and device at home and abroad. This device integrates mechanical, electrical, computer and other technologies and is a very practical and efficient tool detection device. Below, let’s take a closer look at how this device works.

1. Equipment structure

The equipment of BK MIKRO broken tool detection device mainly consists of the following parts:

• Inspection stand

• Pallets

• Photography device

• Filters

• Intelligent identification system

In actual use, the tool product is first placed on the detection bracket, then added to the tray, and then automatically transferred to the camera device, through which the blade surface, cutting surface and other angles of the tool are captured; after obtaining the image of the tool, The intelligent recognition system processes and analyzes these images to promptly detect whether the tool is damaged or broken, as well as the specific location, type and other information of the damaged or broken tool.

2. Working principle

The BK MIKRO tool breakage detection device realizes tool damage detection based on the characteristics of the tool edge angle when it changes. During the production process, technicians often determine the number of changes in the color of the tool blade surface and the vector direction of the position, as well as the ratio of color to pixels in the picture, to quickly locate the location of damage and evaluate the degree of damage.

When the object to be detected enters the detection area, the tool image is displayed on the video monitor, the image is separated into gray values, the noise is removed through the filter, and the gray level of the image is adjusted at the same time. After processing, the difference between the grayscale information of adjacent pixels on the tool blade is used to find the edge line of the tool, and the edge line is compressed and deformed. Through image processing, various characteristic information about the cutting edge is extracted, and the image is analyzed through intelligent recognition algorithms to determine whether the tool is damaged.

Detection is generally formed through images. This process is a photoelectric conversion process. Imaging technology and detection technology are explained from the four aspects of camera imaging system (memory), digital signal processing and image processing technology (algorithm), data processing technology and control technology. combination.

3. Test results

After the above processing and analysis, various image data transmitted to the intelligent identification system can be easily processed by the detection system. After the detection is completed, the system will give the corresponding detection results.

The above content introduces the working principle of the BK MIKRO broken tool detection device. In addition, ODJ-Tech Global LLC specializes in selling brand new imported BK MIKRO broken knife detection devices, and promises to sell all products that are brand new and imported. At the same time, it provides customers with quotations, selections, product information and other services. For more product and technical information requirements, please contact us Go to the official website of Shenzhen Oudejie Technology Co., Ltd. to find contact information for further consultation.