Gear is a mechanical transmission element, usually composed of cylindrical or conical rack and pinion, used to transfer power and torque, to achieve rotation between different axes. Gears are usually used in mechanical equipment, such as automobiles, machine tools, wind turbines, construction machinery, etc., which play the role of transmission and growth deceleration.

The design and manufacture of gear products involves precision engineering and machining techniques to ensure the precision, durability and reliability of gear drives. Gear products play an important role in a variety of mechanical equipment, achieving the key components of mechanical transmission and rotation.

During the manufacturing process, gear products may have some appearance defects, such as broken teeth, short teeth, cracked teeth, missing teeth, crooked teeth or sharp teeth. These defects can have an impact on the accuracy of the gear, leading to bite problems. In the process of quality inspection, these defective products need to be excluded.

Gear visual appearance inspection system is a system that uses machine vision technology to detect gear appearance quality. The system mainly collects the image data of the gear surface, uses image processing and analysis algorithm to detect the defects, damage or bad features of the gear appearance, ensures the quality of the gear products meets the standard, and improves the production efficiency and quality management level.

Gear appearance inspection system, through the machine instead of human eyes to measure and judge. The vision system will automatically collect the image of the test object, and the image software system will process and analyze the acquired picture in real time according to the art standard provided by the customer to judge whether the gear product is qualified. If the product fails, the system identifies the defect and outputs an OK/NG signal as a result of processing.

Function and characteristics of gear visual appearance inspection system

Defect detection: The system can detect defects on the gear surface, such as scratches, cracks, bubbles, etc., to ensure that the product appearance quality meets the requirements.

Size measurement: The system can measure the size of the gear, including gear diameter, gear profile, etc., to ensure product dimensional accuracy and consistency.

Tooth shape detection: The system can detect the tooth shape of the gear, including tooth pitch, tooth height, tooth shape deviation, etc., to ensure that the gear transmission performance is good.

Appearance defect classification: According to the test results, the appearance defect of the gear is classified to determine the type and severity of the defect, which is convenient for further treatment and repair.

Automated inspection: The system supports automated inspection and analysis, improving production efficiency and reducing manual inspection costs.

Data recording and report generation: The system can record test result data, generate test reports, support quality management and production traceability.

Through the gear visual appearance inspection system, manufacturers can realize the rapid and accurate inspection of the gear product appearance quality, ensure product quality and production efficiency, and improve the automation degree and quality control level of the production line.

Machine vision inspection systems can be used to inspect different types of products, including screws, nuts, hardware accessories, mobile phone accessories, auto parts, and other types of accessories. It can detect cracks, head text/shape, length, diameter, screw nut whether there are teeth, screw inner and outer diameter, screw tooth distance, screw tooth Angle, bottom shape, bending, multi-section height/width/thickness, chamfer/Angle, tooth number, surface features, surface defects, marks, surface defects and other attributes.