How SQM Turns Aerial Data into Mining Intelligence
In our previous session with SQM, we explored how autonomous drones were deployed across their lithium mining operations. This webinar goes one level deeper. SQM will walk through what happens after the drone flies; how RGB and thermal images are processed, analyzed, and transformed into actionable insights that guide daily field operations.
Feb 12, 2026
11:00 am
BRT
Context
What You’ll See
SQM will walk through how RGB and thermal images captured during daily missions are processed, analyzed, and transformed into insights that guide field actions. You’ll see how raw imagery becomes clear signals that help teams decide where to go, what to fix, and why—before issues escalate.
This session focuses entirely on data interpretation, post-processing, and operational decision-making.
Key Highlights
- Post-Flight Image Analysis
How thermal and RGB images are reviewed, processed, and structured to highlight irrigation issues, dry zones, and anomalies.
- Computer Vision & Algorithms
A practical look at the algorithms and models used to extract meaningful signals from drone imagery—no theory, only what’s running today.
- From Insight to Action
How processed outputs are consumed by operations teams and used to prioritize field work instead of manual inspection loops.
- Platform Evolution
How SQM’s internal platform has matured to support analytics, visualization, and repeatable decision workflows.
Nivedita Huple
Customer Success Manager, FlytBase
Rodrigoq Toler
Deputy Manager, M1+ Digital, SQM
Context
What You’ll See
SQM will walk through how RGB and thermal images captured during daily missions are processed, analyzed, and transformed into insights that guide field actions. You’ll see how raw imagery becomes clear signals that help teams decide where to go, what to fix, and why—before issues escalate.
This session focuses entirely on data interpretation, post-processing, and operational decision-making.
Key Highlights
- Post-Flight Image Analysis
How thermal and RGB images are reviewed, processed, and structured to highlight irrigation issues, dry zones, and anomalies.
- Computer Vision & Algorithms
A practical look at the algorithms and models used to extract meaningful signals from drone imagery—no theory, only what’s running today.
- From Insight to Action
How processed outputs are consumed by operations teams and used to prioritize field work instead of manual inspection loops.
- Platform Evolution
How SQM’s internal platform has matured to support analytics, visualization, and repeatable decision workflows.
Nivedita Huple
Customer Success Manager, FlytBase
Rodrigoq Toler
Deputy Manager, M1+ Digital, SQM
Context
What You’ll See
SQM will walk through how RGB and thermal images captured during daily missions are processed, analyzed, and transformed into insights that guide field actions. You’ll see how raw imagery becomes clear signals that help teams decide where to go, what to fix, and why—before issues escalate.
This session focuses entirely on data interpretation, post-processing, and operational decision-making.
Key Highlights
- Post-Flight Image Analysis
How thermal and RGB images are reviewed, processed, and structured to highlight irrigation issues, dry zones, and anomalies.
- Computer Vision & Algorithms
A practical look at the algorithms and models used to extract meaningful signals from drone imagery—no theory, only what’s running today.
- From Insight to Action
How processed outputs are consumed by operations teams and used to prioritize field work instead of manual inspection loops.
- Platform Evolution
How SQM’s internal platform has matured to support analytics, visualization, and repeatable decision workflows.
Nivedita Huple
Customer Success Manager, FlytBase
Rodrigoq Toler
Deputy Manager, M1+ Digital, SQM
What to expect?
What You’ll See
SQM will walk through how RGB and thermal images captured during daily missions are processed, analyzed, and transformed into insights that guide field actions. You’ll see how raw imagery becomes clear signals that help teams decide where to go, what to fix, and why—before issues escalate.
This session focuses entirely on data interpretation, post-processing, and operational decision-making.
Key Highlights
- Post-Flight Image Analysis
How thermal and RGB images are reviewed, processed, and structured to highlight irrigation issues, dry zones, and anomalies.
- Computer Vision & Algorithms
A practical look at the algorithms and models used to extract meaningful signals from drone imagery—no theory, only what’s running today.
- From Insight to Action
How processed outputs are consumed by operations teams and used to prioritize field work instead of manual inspection loops.
- Platform Evolution
How SQM’s internal platform has matured to support analytics, visualization, and repeatable decision workflows.
Nivedita Huple
Customer Success Manager, FlytBase
Rodrigoq Toler
Deputy Manager, M1+ Digital, SQM
What to expect?
What You’ll See
SQM will walk through how RGB and thermal images captured during daily missions are processed, analyzed, and transformed into insights that guide field actions. You’ll see how raw imagery becomes clear signals that help teams decide where to go, what to fix, and why—before issues escalate.
This session focuses entirely on data interpretation, post-processing, and operational decision-making.
Key Highlights
- Post-Flight Image Analysis
How thermal and RGB images are reviewed, processed, and structured to highlight irrigation issues, dry zones, and anomalies.
- Computer Vision & Algorithms
A practical look at the algorithms and models used to extract meaningful signals from drone imagery—no theory, only what’s running today.
- From Insight to Action
How processed outputs are consumed by operations teams and used to prioritize field work instead of manual inspection loops.
- Platform Evolution
How SQM’s internal platform has matured to support analytics, visualization, and repeatable decision workflows.
Nivedita Huple
Customer Success Manager, FlytBase
Rodrigoq Toler
Deputy Manager, M1+ Digital, SQM
Context
What You’ll See
SQM will walk through how RGB and thermal images captured during daily missions are processed, analyzed, and transformed into insights that guide field actions. You’ll see how raw imagery becomes clear signals that help teams decide where to go, what to fix, and why—before issues escalate.
This session focuses entirely on data interpretation, post-processing, and operational decision-making.
Key Highlights
- Post-Flight Image Analysis
How thermal and RGB images are reviewed, processed, and structured to highlight irrigation issues, dry zones, and anomalies.
- Computer Vision & Algorithms
A practical look at the algorithms and models used to extract meaningful signals from drone imagery—no theory, only what’s running today.
- From Insight to Action
How processed outputs are consumed by operations teams and used to prioritize field work instead of manual inspection loops.
- Platform Evolution
How SQM’s internal platform has matured to support analytics, visualization, and repeatable decision workflows.
Nivedita Huple
Customer Success Manager, FlytBase
Rodrigoq Toler
Deputy Manager, M1+ Digital, SQM
