Case Study: ALYCE achieves smarter urban mobility with Ultralytics YOLO

ALYCE - Customer Case Study

ALYCE, a company focused on smart urban mobility solutions, was struggling with outdated methods for analyzing traffic data. These traditional approaches lacked the precision and adaptability needed to effectively handle traffic congestion and improve transport systems in bustling cities. To overcome this, ALYCE sought an AI solution and turned to Ultralytics.

By integrating Ultralytics YOLO models into its minUi and OBSERVER platforms, Ultralytics provided a powerful computer vision solution for real-time object detection and tracking. This integration saved ALYCE two months of development time, reduced costs, and improved the accuracy of its mobility data. The high-performance models also delivered a 1-2% boost in mean average precision and operated 20% faster, enabling ALYCE to create smarter, more efficient, and sustainable urban transport networks for its clients.

ALYCE

Benoit Berthe

Chief Technology Officer