Escaping from surveillance is known to all fugitives on the run. How can they avoid detection?

First, physical obstructions create blind spots: cameras have inherent viewing angle limitations, such as in corners of walls, behind pillars, stairway turns, areas blocked by tree canopies, and building shadows, which are often difficult to cover. Even with dense deployment, it’s hard to achieve completely blind spot-free coverage.
Second, lighting conditions affect image quality: strong backlighting, direct bright light, or lack of supplemental lighting at night can cause overexposure, underexposure, or increased noise. In complex lighting environments, images may only retain outline information, reducing detail recognition.
Third, limitations in shooting angles: if cameras are installed at unreasonable angles (such as too high or too low), key details like facial features, gait, or hand movements may be missing, only capturing partial or rear views.
Fourth, image quality and storage capacity limitations: low-resolution devices tend to produce blurry images when zoomed in, and fast movements may cause motion blur or frame loss. Additionally, some systems have limited recording storage periods (such as 3–7 days), after which footage may be automatically overwritten.
Fifth, environmental factors and device stability impacts: weather conditions like rain, snow, fog, dust, and insect obstructions can all affect image quality; at the same time, power outages, network disconnections, or device malfunctions can cause surveillance interruptions or footage loss.