Russia’s Neural Network Monitors Trash Bin Fill Levels

AI is helping Russian cities streamline waste collection by detecting when bins are full—before they overflow.

Artificial intelligence is increasingly being applied across Russia’s public utility services, including a new system designed to ensure timely waste removal. The latest development uses image recognition to estimate how full garbage containers are, achieving up to 90% accuracy in determining fill levels and sending alerts when pickup is needed.

According to Russian Minister of Natural Resources Denis Butsaev, the AI developers are currently fine-tuning image analysis and volume estimation features, with plans to deploy the system nationwide. He also noted that neural networks are already used to monitor landfill conditions and track bird activity near waste sites.

In addition, AI and robotics are increasingly taking over physically demanding and unpleasant tasks like sorting trash. These systems can now separate metal, plastic, paper, and glass—enabling more efficient recycling. By 2030, Russia aims to achieve 100% waste sorting, largely through the use of smart machines.