What the AI sees
Trained on millions of real-world facility images across diverse lighting and environments.
Littered floors
Detect loose waste, scattered paper, packaging, and debris on walkways and public areas.
Wet / slippery surfaces
Identify water spills and wet floor areas before they become safety hazards.
Overflowing bins
Flag waste bins at or near capacity before they overflow.
Unclean restrooms
Monitor restroom cleanliness status without continuous manual checks.
Crowding & queues
Detect overcrowding in high-traffic zones that may impact sanitation or safety.
Maintenance needs
Identify visible surface damage, broken fittings, or graffiti for rapid response.
How It Works
From pixel to action in under 5 seconds.
Where it's deployed
Designed for high-traffic environments where cleanliness is a measurable operational KPI.
Airports & Transit Hubs
Monitor terminals, gates, and concourses 24/7. Meet DGCA and international airport cleanliness standards with data-backed evidence.
Shopping Malls
Ensure food courts, restrooms, and common areas are maintained throughout peak hours without increasing headcount.
Hospitals & Healthcare
Critical cleanliness compliance with real-time alerts, helping infection control teams respond before issues escalate.
Smart Cities & Public Spaces
Parks, transit stations, and civic centres monitored at scale — feeding into city-level cleanliness dashboards and reporting.
Hotels & Hospitality
Track lobby, restaurant, and public area cleanliness standards across shifts, with compliance reports for audits.
Manufacturing & Warehouses
Monitor hygiene and safety compliance on factory floors and warehouse aisles with automated ISO/GMP audit trails.
Why fixed schedules fail
3x
More frequent cleaning where it's actually needed vs. fixed schedules
60%
Reduction in reactive cleaning complaints after AI monitoring deployment
< 5s
Median time from issue detection to alert delivery
24/7
Continuous monitoring — no shift handoffs, no blind spots