In high-intensity operational settings, such as ports, mines, vessels, and chemical plants, a common challenge with surveillance cameras is the immediate buildup of impurities—dust, oil, and salt spray—on the lens, which can result in a blurry image. In the past, this required constant manual cleaning, which often used an excessive amount of time and labor and, in itself, was a safety issue. However, through advanced technology and now self-cleaning AI cameras, this issue is being addressed.

The most significant feature of these cameras is that they self-clean. These cameras are equipped with an intelligent cleaning module that activates when surface contamination is detected by the cameras, keeping the images clear. Whether the challenge to the cameras is dust produced in a mine environment or a humid salt spray in a port, the cameras effectively clean following contamination, while reducing manual cleaning.

Using AI algorithms, they are more than just cameras. The AI cameras continuously analyze the video and the underlying activities, identify abnormal or unauthorized behaviors or equipment status, and then provide timely alerts. In a chemical plant setting, they can identify unusual smoke and behaviors or compliance violations. Likewise, onboard ships or in a port setting, they help the manager monitor how goods and personnel are being moved through the port facility, ensuring operational safety.

More importantly, the application of self-cleaning AI cameras reduces maintenance costs and reduces human exposure to hazardous environments. In the long run, this not only improves work efficiency but also provides new insights into industry safety and intelligent development. It can be said that these self-cleaning AI cameras are becoming reliable "guardians" in complex environments, enabling truly all-weather surveillance with zero blind spots and minimal hassle.