Mina restroom area
"Only a small number of cubicles were functioning, while the queue kept growing."
Smart Facility Flow for Pilgrims
Taysir
Help pilgrims find less crowded restroom facilities, faster.
IoT sensing and AI-assisted wait-time prediction for high-density Hajj and Umrah environments.
Why It Matters
Restroom access should not feel like guesswork.
Long queues and unclear availability create fatigue, bottlenecks, and slower operational response.
Field evidence
Public reports show the same restroom flow problem.
Women restroom queue
"The queue was reported from early morning until midday, with pilgrims waiting 1-2 hours."
Peak heat period
"Long lines formed under extreme heat, especially before prayer times."
How Taysir Helps
Facility signals become practical guidance.
Taysir connects IoT sensing, AI-assisted prediction, and pilgrim/operator interfaces in one clear flow.
01 Facility inputs
Read queue and cubicle signals
Queue-area activity, entrance flow, and cubicle indicators show how each restroom is being used.
02 Taysir intelligence
Estimate wait time and anomalies
AI-assisted logic translates live facility signals into crowd level, expected wait, and inactive cubicle alerts.
03 Guidance outputs
Guide pilgrims and operators
Pilgrims see better routes, signage redirects movement, and operators see where action is needed.
System map
From facility inputs to real-time decisions.
Queue activity and cubicle signals are processed into wait estimates, recommendations, and operational alerts.
Responsible Sensing
Useful crowd intelligence without personal surveillance.
No restroom cameras
No facial recognition
No identity tracking
Anonymous facility data
Product surfaces
Two views, one operating picture.
Pilgrims get simple route guidance, while operators see facility pressure and alerts.
Pilgrim view
Operator view
