Originally, endoscopes were mainly used for medical purposes and were also called medical endoscopes. What we know today as industrial endoscopes are derived from the medical side.

ideo industrial endoscope has unique advantages in the NDT industry, it can extend the observation range of the human eye, and through 360 ° arbitrary change in the angle of the line of sight, intuitive and accurate observation of the real condition of the internal surface of the object in a narrow space where the human eye can not see directly, which can not be achieved directly by other inspection instruments.

Because the interior space is small and dark, the human eye cannot be observed. According to the manual, the inspection is carried out on the first mechanical day after the flight. For this situation, a handheld high-definition endoscopic inspection in non-destructive testing should be taken for real-time monitoring.

Industrial endoscopic inspection is the most effective and intuitive method of visual inspection. It is an essential and effective tool in environments that are not directly visible to the human eye.

From a professional perspective, endoscopic inspection is a visual inspection method that uses micro camera equipment to evaluate the quality of containers, pipes, the interior of nonremovable equipment, the inner surface of narrow gaps, the parts below the liquid level such as water and oil, and the areas that cannot be directly observed by human eyes under special circumstances. The professional equipment using this visual inspection method is called an industrial endoscope.

Initially, endoscopes were mainly used for medical purposes, also known as medical endoscopes. The industrial endoscope we know today is derived from the medical field.

Shenzhen JEET T51X Series megapixel high-definition industrial endoscope is selected. The detection technology can present the defects at the detection points on the IPS high-definition full view screen with smooth, clear, high-resolution and complete color images, and carry out the intelligent image system analysis on the observation images to visually judge the detection situation.