Robotlar

Restroom Cleanliness & Hygiene Inspection Robot.

Bad odor, soap/paper shortages, and wet floors in mall restrooms — the #1 cause of customer complaints.

SCENARIO: PUB-11
Mall & Public Areas

Operational
Mechanism.

Technical details of field integration, data flow, and autonomous decision algorithms.

Edge Hardware

Odor Sensor (NH3/H2S)
Humidity & Temperature Sensor
HD Camera
UV-C Disinfection Module
Soap/Paper Refill Sensor

Artificial Intelligence

Navigation (SLAM)

Precise indoor navigation with door threshold transitions in narrow restroom corridors

Perception & Analysis

Floor Wet/Dirty Segmentation, Odor Anomaly Detection, and Consumable Level Estimation

Autonomous Workflow

Robot visits restrooms every 30 minutes; measures NH3/H2S levels with odor sensors to generate hygiene scores.

Floor wetness, soap/paper towel/toilet paper fill rates detected via camera and sensors.

When critical thresholds exceeded, automatic task assigned to cleaning crew; UV-C module instantly disinfects door handles and faucets.

Daily/weekly hygiene scorecard generated and reported to mall management; most problematic hours identified.

Operational ROI.
Strategic Decision.

EXPECTED BALANCE IMPACT

Annual $29,000 cleaning optimization and customer satisfaction gain. ROI: 2.1x

Reduces restroom complaints by 78%; increases cleaning staff efficiency by 45%.

Example modelling — not realised customer data. Calculated assuming roughly $20,000 total investment (robot, integration and commissioning); actual results vary by facility, shift count and configuration. Request a quote for a calculation specific to your organisation.

Review Your Custom
Autonomous Operation
Plan On-Site.

Our engineers are ready to present this robotic integration plan, specially simulated for your facility, to your team. Let's confidently launch your business's digital transformation.