AI Helps Eliminate Illegal Dump Sites in the Moscow Region
The Moscow Region leads Russia in residential construction. Yet behind this success lies a serious environmental challenge that authorities are now addressing with new technological tools. In the past, construction waste was often dumped in forests and ravines. Today, advanced digital systems are being deployed to solve the problem and reduce pressure on natural ecosystems.
Russia generates tens of millions of tons of construction waste each year. Much of it is dumped at illegal sites, contaminating soil and groundwater. By 2020, the Moscow Region alone had nearly 2,500 illegal dump sites, about 80% of which consisted of construction, demolition, and soil waste known as OSSiG.
Waste Truck Hunter
An automated monitoring platform called OSSiG-kontrol, developed by the technology company UrbanTech Group, has been deployed to protect the region’s environment. Over the past three years the system has proven highly effective. Violations related to the transportation and disposal of construction and municipal waste have fallen by nearly 57%.
The system relies on a network of 220 cameras that analyze vast streams of data about truck movements. Artificial intelligence tracks the routes of waste haulers in real time, comparing them with official transportation rules. The system automatically detects when trucks unload waste in unauthorized locations and instantly sends an alert to the regional environmental authority. Last year alone more than 780 illegal dump sites were identified and removed.
The Result – Cleaner Landscapes
Since the system was introduced, more than 5,000 illegal dump sites have been discovered across the region. The Moscow metropolitan area generates roughly 10 million tons of waste each year. If the system can manage this challenge in one of Europe’s largest urban regions, it could also be applied in other parts of Russia facing similar problems. Digital monitoring of construction waste is already being used in St. Petersburg and in the Republic of Tatarstan. The project earned the Moscow Region and UrbanTech Group first place in the Biosphere category at the inaugural national Safe City award.
Artificial intelligence is also helping maintain cleanliness at public transport stops across the Moscow Region. A network of 645 smart cameras from the Safe Region system analyzes video streams in real time. When the system detects litter or an overflowing trash bin, it automatically generates a cleaning request, specifying the exact location and type of problem. Over nearly two years of operation, the neural network has helped eliminate more than 4,000 cases of waste accumulation.
Meanwhile, RT-Invest has launched four high-technology waste processing complexes in the Moscow Region since the start of Russia’s nationwide waste management reform. Together these facilities can process up to 1.5 million tons of waste per year. The plants sort 36 types of recyclable materials and aim to achieve near-zero landfill disposal.
Environmental Well-Being
In 2025 Russia launched a new national program called Ecological Well-Being. One of its goals is to build a circular economy for waste management. By 2030 all waste in the country should undergo sorting, and about half of it should be recycled or otherwise processed. At least 25% of waste will return to the economic cycle as secondary raw materials. Currently about 54% of waste is sorted, while nearly 14% is recycled.
“Digitalization in waste management is one of the key areas where technology can significantly improve the situation. Full traceability across the entire chain is essential. In 2023 a national accounting system for municipal solid waste was launched. It includes mechanisms that provide objective data at every stage of the process,” said Russian Deputy Prime Minister Dmitry Patrushev.
Nearly all garbage trucks in the country have now been connected to this system, more than 25,000 vehicles in total. Waste management is becoming more transparent and easier to monitor. As computer vision technology advances, authorities will be able to analyze video streams from ordinary roadside cameras and automatically identify violations.
