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Successful Training Session on DJI Matrice 300 RTK

We are thrilled to announce the successful completion of a hands-on training session conducted in collaboration with Geocrest, focusing on the DJI Matrice 300 RTK Enterprise paired with the DJI D-RTK 2 Mobile Station. This training was specifically designed for Tailings Storage Facility (TSF) monitoring and management.

Enhancing Skills for Effective Monitoring

Throughout the training, participants engaged in comprehensive hands-on experiences aimed at enhancing safety, accuracy, and efficiency in monitoring critical mining infrastructure. Key components of the training included:

  1. Flight Planning and LiDAR Integration: Participants learned how to effectively plan drone flights while integrating LiDAR technology for precise data acquisition.
  2. Real-Time GNSS Corrections: The session emphasized the importance of real-time GNSS corrections, enabling participants to achieve high levels of positional accuracy during their operations.
  3. Field Deployment Practices: Practical sessions allowed the team to apply their skills in real-world scenarios, reinforcing the application of drone technology in managing TSFs.
  4. RTK/PPK Workflows: Training on real-time kinematic (RTK) and post-processed kinematic (PPK) workflows provided attendees with essential techniques for accurate data collection and analysis.

Commitment to Innovation and Sustainability

At Dronetec Consults, we take pride in supporting our partners with cutting-edge drone solutions that bridge the gap between innovation and sustainability in the mining sector. Our commitment extends beyond providing tools; we aim to empower teams with the skills they need to leverage technology effectively.

A Glimpse of the Action

The training session was not only educational but also engaging, fostering teamwork and collaboration among participants. Here’s a glimpse of the action on-site with the Geocrest team! 

As we move forward, we look forward to continued partnerships that push the boundaries of what is possible in mining monitoring and management.

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