Endoscopic inspection is a non-destructive, efficient and intuitive detection technology. From its inception to the present, it has been constantly updated following the pace of technological development. Under the current trend of expanding AI application fields, the integration of artificial intelligence has opened a new chapter of intelligence for endoscopes..
The industrial endoscope robot solves the biggest difficulty in endoscope inspection: how to transport the probe into the equipment and move it smoothly. The artificial intelligence robot drives the endoscope inspection system to crawl on the pipe wall, and can clearly observe whether there are foreign objects and foreign matter inside the equipment. Corrosion defects can easily enter small spaces and provide image data inside the machine, providing data reference for equipment operation and problem detection.
First, they eliminate the need for manual inspection of hard-to-reach areas, thereby reducing the risk of worker injury.
Second, they can generate high-resolution images and videos that identify the smallest defects, allowing maintenance teams to make informed decisions.
And they can operate in extremely harsh environments, such as areas with high temperatures or areas with corrosive materials. This makes them ideal for inspecting pipes and tanks in chemical plants or refineries. Robots can be equipped with cameras, sensors and probes that can withstand these harsh environments and provide maintenance teams with reliable information.
