Case Study: Kiwitron achieves real-time industrial hazard detection with Ultralytics YOLO

A Ultralytics Case Study

Preview of the Kiwitron Case Study

Kiwitron - Customer Case Study

Kiwitron, an Italian industrial technology company, needed a smarter way to improve safety on busy industrial floors where workers and heavy machinery operate in close proximity. Traditional safety systems like ultrawideband and LiDAR were found to be either inefficient, disruptive, or lacking the necessary accuracy, which slowed operations and created safety gaps. This prompted the company to seek an advanced, AI-driven solution from vendor Ultralytics.

By integrating Ultralytics YOLO models, Kiwitron developed its KiwiEye safety solution. This system uses advanced cameras and AI for real-time hazard detection, accurately identifying pedestrians, vehicles, and signs from distances of up to 30 meters. The implementation has led to a noticeable reduction in near-miss incidents, provides valuable data for safety improvements, and maintains operational efficiency without unnecessary slowdowns, successfully addressing their core challenge.


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