Enforcing face mask compliance manually is impractical, especially in busy environments. MaskWatch connects to your existing CCTV infrastructure and uses artificial intelligence to detect whether people are wearing masks correctly — sending instant alerts when they are not.
In environments where face masks are required — whether for health regulations, industrial safety, or cleanroom protocols — monitoring compliance across an entire facility is a challenge. Posting staff at every entrance is expensive and unreliable. MaskWatch automates the entire process using computer vision and AI.
The system analyses live video feeds from your existing cameras and identifies individuals who are not wearing masks or who have them positioned incorrectly. When a violation is detected, alerts are triggered immediately through multiple channels.
MaskWatch uses trained deep learning models that can distinguish between properly worn masks, improperly worn masks (below the nose, on the chin), and no mask at all. The AI processes video frames in real time, so detection happens within seconds of someone entering the camera's field of view.
There is no need to replace your cameras or install new hardware. MaskWatch integrates with standard CCTV systems and IP cameras, making deployment straightforward and cost-effective. It is a software layer that adds intelligence to the infrastructure you already have in place.
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