Case Study: a global metropolis cuts noise pollution and boosts fine revenue with Acuvate's Smart City Infrastructure and Sustainability Solutions

Global Smart City Infrastructure & Sustainability Solutions Provider - Customer Case Study

A government department for a major metropolis tasked with reducing pollution faced a challenge in manually identifying vehicles with illegally modified mufflers that created excessive noise. Their inspectors spent significant time manually reviewing video footage to find violators and link them to license plates for legal proceedings. To address this, they partnered with Acuvate for a smart city infrastructure and sustainability solution.

Acuvate built a machine learning model trained on existing footage to automatically identify violating vehicles, their types, and their license plates. This solution provided an intuitive admin interface for verification and searching. The results included the complete elimination of manual license plate identification, an annual saving of 400 person-days in video review effort, and a significant boost in fine-based revenue for the department.