Restroom Hygiene and Odor Level Monitoring.

Quality control of mall restroom hygiene limited to hourly manual inspection and customer complaints.

REF: PUB-03
Mall & Public Areas

Operational
Mechanism.

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

Edge Hardware

VOC/NH₃ Odor Sensor
Humidity/Temperature Sensor
HD Camera
UV-C Sterilization Module

Artificial Intelligence

Navigation (SLAM)

Compact maneuvering SLAM in restroom areas; entry-exit door transitions

Perception & Analysis

Hygiene Scoring (Odor + Humidity + Visual Contamination Correlation)

Autonomous Workflow

The robot enters restrooms at hourly intervals; measures odor intensity with NH₃ and VOC sensors, floor wetness with humidity sensor.

Evaluates paper towel fill level, soap dispenser level, and overall visual hygiene status with HD camera.

All data combined to assign each restroom a 'hygiene score'; automatic task assigned to cleaning crew when score drops below threshold.

Passive sterilization performed between restroom visits with UV-C module; hygiene history reported to suggest cleaning optimization for peak hours.

Operational ROI.
Strategic Decision.

EXPECTED BALANCE IMPACT

Annual $32,000 cleaning optimization and customer experience gain. ROI: 1.6x | Payback: 2.8 Years.

Reduces restroom hygiene complaints by 82%; increases customer satisfaction score (NPS) by 12 points.

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