WP 1

Body posture

This WP focuses on Body Posture Analysis using Deep Learning. It aims to utilize deep learning techniques to analyze the body postures of workers in forest operations. By optimizing ergonomic factors, the goal is to enhance worker well-being and safety, improving efficiency and reducing occupational risks.

WP 2

Exposure to noise

This WP focuses on evaluating workers' exposure to noise in forestry operations. This comprehensive assessment aims to develop strategies to mitigate noise-related health risks, ensuring a healthier working environment for laborers.

WP 3

Log pile

This WP focuses on evaluating the capability of close-range LiDAR technology for collecting precise data on stump and piled log volumes. This will explore the potential of LiDAR for accurate volume estimation in forestry operations.