Cloud disk high-speed detection machine sink inner hexagonal screw appearance detection scheme

Release time：2024-07-18Hits：

The inner hexagonal screw of the sunken head is a common screw type with an internal hexagonal hole and a sunken head design. This kind of screw usually requires the use of an inner hexagonal wrench or wrench to tighten or loosen. The sunken head design allows the screw head to dive into the surface of the connected object, so that the surface is flat and does not bulge.

The sunken head design allows the screw head to dive into the surface of the object to achieve a hidden connection, which is beautiful and tidy. The inner hexagonal hole is designed to provide better torque transmission efficiency, reduce the possibility of loosening, and improve the safety of connection. It is often used for products that need to hide connections and require a neat appearance, such as furniture, electronic equipment, mechanical equipment, etc. It is very convenient to install and disassemble with an inner hexagonal wrench or wrench to improve construction efficiency. Through correct installation and torque control, the connection of the hexagonal screw in the head can be ensured stable and reliable.

In the production process, there are defects such as damage, head cracks, head defects, no teeth, oblique teeth, non-standard teeth, and damage of the inner hexagonal needle in the production process. Sputek recommends the use of cloud disk high-speed detector.

Cloud disk high-speed detector is a device specially used for rapid detection and analysis of cloud disks (such as hard disks, solid-state drives, etc.). This machine usually combines technologies such as high-speed image acquisition, image processing and machine learning to quickly and accurately detect various parameters and features of the cloud disk on the production line. High-speed image acquisition and processing technology is used to realize rapid detection and analysis of cloud disk and improve production efficiency. It usually has an automation function, which can automatically detect, analyze data and output results. It can detect the appearance defects, functional problems, the correctness of the logo and other aspects of the cloud disk. Through image processing and machine learning technology, the accurate detection of various parameters and characteristics of the cloud disk is realized. It can usually record test results and data to support quality control and traceability.