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Smart Hygiene Monitoring System · For public restrooms

Clean when it’s needed, not just when it’s scheduled.

Sensor-based monitoring of availability and hygiene in public toilets, without cameras and without any sensing while a cubicle is in use. Two modules show operators, cubicle by cubicle, where action is needed.

Request a pilot project Explore the modules
  1. 01 Module G · Hygiene & geometry monitoring

    Module G uses a sensor mounted above the cubicle. It compares the condition of the room before and after each use, with depth data only, never images.

  2. 02 Privacy by design

    No sensing while a cubicle is in use

    No camera: explicitly excluded, not just switched off

  3. 03 Module H · Hydraulic monitoring

    Continuous monitoring of water level and flushing

    Fully rule-based: no machine learning in this safety-relevant decision

  4. 04 Module G · Hygiene & geometry monitoring

    Before/after comparison of the room condition for every use

    Detects floor soiling, foreign objects, toilet seat position and bin fill level

  5. 05 Live status

    Cleaning required The cubicle should be cleaned.

    A live dashboard shows the current status of every cubicle, for example “WC 01 · OK”. Cleaning and maintenance teams can see immediately where they are needed and which cubicles are fine.

  6. 06 Benefits

    Demand-driven cleaning: teams go where the status shows a need

    OK No action required.

The problem

Fixed schedules don’t know what’s actually needed.

Most public restrooms are inspected and cleaned on rigid schedules. Some rounds take place when there is little to do, while elsewhere a blocked toilet or a soiled floor goes unnoticed until the next scheduled visit or the first complaint. Both tie up staff and affect the experience for users.

The system

Two modules. One clear status per cubicle.

The Smart Hygiene Monitoring System combines two sensor modules. Module H monitors the hydraulics: flushing, water level and drainage. Module G monitors the condition of the cubicle itself, from the floor to the waste bin. Both feed a live dashboard that shows the status of every cubicle at a glance.

Module H · Hydraulic monitoring

Detect blockages and overflows, deterministically.

Blockages & overflows, rule-based

Module H continuously monitors the water level and every flush. When water doesn’t drain as it should, the module detects it, based on clear rules that operators can trace at any time.

  • Continuous monitoring of water level and flushing
  • Fully rule-based: no machine learning in this safety-relevant decision
  • Drain-time trend: gradually slowing drainage is flagged early, so maintenance can be planned before a blockage occurs

Module G · Hygiene & geometry monitoring

Recognise hygiene changes, from a soiled floor to a full bin.

Hygiene & geometry changes, ToF-based

Module G uses a sensor mounted above the cubicle. It compares the condition of the room before and after each use, with depth data only, never images.

  • Before/after comparison of the room condition for every use
  • Detects floor soiling, foreign objects, toilet seat position and bin fill level
  • Tells the difference between what a single use has changed and the cumulative soiling since the last cleaning
Live status

Every cubicle at a glance.

A live dashboard shows the current status of every cubicle, for example “WC 01 · OK”. Cleaning and maintenance teams can see immediately where they are needed and which cubicles are fine.

Detected states

  • OK No action required.
  • Cleaning required The cubicle should be cleaned.
  • Blocked The cubicle cannot be used as intended.
  • Uncertain The sensor cannot assess the condition reliably, and says so instead of guessing.
Privacy by design

No camera.No person recognition.No sensing during use.

Public toilets are among the most sensitive spaces there are. Smart Hygiene was designed from the ground up to work without cameras.

  • No camera: explicitly excluded, not just switched off
  • Sensors mounted above measure depth and water data, not images
  • No person recognition
  • No sensing while a cubicle is in use
Benefits

What operators gain

  1. Demand-driven cleaning

    teams go where the status shows a need

  2. Faster response

    to blockages and overflows

  3. Plannable maintenance

    deteriorating drainage becomes visible early

  4. Traceable decisions

    rule-based and documented

  5. Privacy built in

    easier acceptance by users and clients

  6. Better user experience

    issues are spotted sooner