The Solution Our
Cities Deserve

Clean Cities is an all-inclusive project from AFAQY created to keep urban areas in a shiny, clean state.

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Who is Clean Cities for ?

GovernmentGovernment
Government
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MunicipalitiesMunicipalities
Municipalities
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Cleaning CompaniesCleaning Companies
Cleaning Companies
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Recycling CompaniesRecycling Companies
Recycling Companies
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Smart CitiesSmart Cities
Smart Cities
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ContractorsContractors
Contractors
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Clean Cities provides three smart solutions that address the main challenges of waste management; Waste Inspection, Waste Management, and Mardam/Smart Landfill

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Why Choose Clean Cities ?

Reduced Costs up to 80%Reduced Costs up to 80%
Reduced Costs up to 80%
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Automation of WorkflowAutomation of Workflow
Automation of Workflow
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Better Decision-makingBetter Decision-making
Better Decision-making
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Minimum LaborMinimum Labor
Minimum Labor
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Better RecyclingBetter Recycling
Better Recycling
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Green EnvironmentGreen Environment
Green Environment
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Watch a brief

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Highlights

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Route Optimization

Waste Inspection is a mobile application that monitors the cleanliness state of the streets and the levels of waste in containers using hydraulic, load, and fullness sensors to send alerts if a waste container is full or a street needs an immediate cleaning action. Admins can view the momentary status of each container, street, and vehicle to update the job order according to real-time insights.

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Landfill Automation (Mardam)

Waste Management, a solution used in the process of waste collection and transportation using advanced weight sensors and RFID technology to measure garbage weight. Using Waste Management produces significant results, like better usage and route-planning optimization for garbage trucks, more efficient management of waste bins, better quality of services from the municipality, rational usage of garbage trucks, cutting of operational costs (i.e. fuel, overtime, etc.), and reduction of environment pollutants.

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Inspector Mobile App

Mardam or Smart Landfill is a digital platform created to help municipalities manage, recycle, and make the best investment of the waste collected from the city. Mardam automates the workflow inside the landfill from the moment garbage trucks enter the landfill using license plate recognition (LPR) system until they receive the cleaning service and exit the place to repeat the cycle. Each step inside the landfill is calculated and documented for effective waste sorting, waste disposal, recycling, containers’ cleaning, maintenance, monitoring drivers’ behavior, and more.

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Route Optimization

Waste Inspection is a mobile application that monitors the cleanliness state of the streets and the levels of waste in containers using hydraulic, load, and fullness sensors to send alerts if a waste container is full or a street needs an immediate cleaning action. Admins can view the momentary status of each container, street, and vehicle to update the job order according to real-time insights.

Landfill Automation (Mardam)

Waste Management, a solution used in the process of waste collection and transportation using advanced weight sensors and RFID technology to measure garbage weight. Using Waste Management produces significant results, like better usage and route-planning optimization for garbage trucks, more efficient management of waste bins, better quality of services from the municipality, rational usage of garbage trucks, cutting of operational costs (i.e. fuel, overtime, etc.), and reduction of environment pollutants.

Inspector Mobile App

Mardam or Smart Landfill is a digital platform created to help municipalities manage, recycle, and make the best investment of the waste collected from the city. Mardam automates the workflow inside the landfill from the moment garbage trucks enter the landfill using license plate recognition (LPR) system until they receive the cleaning service and exit the place to repeat the cycle. Each step inside the landfill is calculated and documented for effective waste sorting, waste disposal, recycling, containers’ cleaning, maintenance, monitoring drivers’ behavior, and more.

Screenshots

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