Introduction of common models of Coantec industrial videoscope (hole detector) in the field of aeroe

Industrial videoscopes can detect high temperature, toxic, nuclear radiation, and internal parts or assemblies that cannot be directly observed by the human eye without disassembling and destroying the structure. The observation direction can be arbitrarily changed to show colors. The sharper and clearer images allow users to better judge the internal conditions of the inspected objects. They can be used in automotive, aviation, aerospace, energy, chemical, machinery, special inspection, pharmaceutical, military and other fields. In the field of aerospace inspection, industrial videoscopes are also often referred to as bore detectors, which can directly detect the compressor, turbine, and combustion chamber inside the aeroengine through the observation hole without disassembling the engine or causing damage to the components. Failure of key components.

Coantec C65 series of hole detectors, using 6.5-inch high-definition touch screen, single-module dual-lens, CMOS image sensor, 1 million pixel high-definition industrial camera, the picture quality is clearer, the color reproduction is better, and the response is faster. Obtain effective information in the detection scene in real time, present the internal details of the engine, and output high frame rate images. The direct-view and side-view lenses can be replaced to detect different targets. 4/6/8mm pipes of various specifications are interchangeable, and the length can be customized. The product has a three-dimensional measurement function. It can detect the surface conditions of turbine blades, combustion chambers, and compressors through the aero engine observation hole. It can detect blade cracks, wear, burns, corrosion and other defects in time, and can accurately measure the defects (measurement point to Point, point-to-line, point-to-surface distance, multi-line segment length, closed figure area, etc.), the measurement accuracy is 0.01mm, and the measurement error is ≤5%.