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How Drone Autonomy
and AI are Revolutionizing
the Mining Industry:
Advancements &
Impact
Discover how autonomous drones and AI are transforming the
mining industry with improved efficiency, safety, and accuracy.
Learn about the latest technological advancements that are
driving this revolution.
Powered by FlytNow
How a Combination of Drone
Technology, Autonomy & AI
are Redefining Mining Operations
Drone technology is increasingly being used in
the mining sector to enhance safety and
efficiency. They provide access to difficult or
unsafe areas like mine pits, tailing dams, and
stockpiles. Drone surveys and mapping of
mining sites quickly and accurately, allow
companies to generate digital surface models
and digital elevation models to not only provide
an accurate representation of the site but to
also optimize processes such as ore extraction
and waste removal
Additionally, drones monitor mining equipment
and infrastructure, like conveyor belts and
processing plants, for wear and tear, enabling
timely maintenance and reducing downtime.
By adding autonomy & AI to this mix, mining
companies can gather data of large mine sites
and monitor operations around the clock,
without human operators, improving
productivity and efficiency. AI can further
analyze data to identify patterns and trends
difficult for humans to detect. Companies can
therefore have systematic data to make better
decisions and reduce costs by identifying
inefficiencies and areas for improvement.
Introduction
As Christopher puts it, "By combining drone
autonomy and AI, a unique recipe begins to
take shape. We can detect people and
vehicles by applying AI models to thermal
imagery captured by drones. When
combined with autonomous drone-in-a-box
solutions in mines and dangerous areas, it
enables frequent drone flights that only
activate when a vehicle or person is
detected, presenting an exciting opportunity
for drone autonomy and AI to collaborate."
The mining industry may not be the most
glamorous, but it is undeniably important
to the global economy, providing us with
the raw materials necessary for everything
from building infrastructure to powering
our electronics.
In recent years, the industry however, has
faced criticism for its environmental
impact and the safety of its workers. As a
result, the use of more drones for mining,
autonomy, and artificial intelligence (AI) in
mining has emerged as a potential solution
to these challenges.
During one of the NestGen'23 sessions, we
spoke with Christopher Clark, CEO of
Delta Drone International (ASX:DLT), a
multi-national drones-as-a-service
business dedicated to solving real-world
challenges in the enterprise mining and
agricultural industries by providing fully
outsourced aerial drone data and
solutions.
In the session we discussed how a
combination of drones, autonomy, and AI
can help mining companies address many
of the challenges they face and pave the
way for a more efficient mining industry.
Christopher Clark
CEO of Delta Drone
International
Powered by FlytNow
Just to set some context, Christopher
shares a typical scenario in a mine-site - “If
you wanted to calculate the volume of a
stockpile and essentially how much a mine
is digging out the ground, you would have to
send men who would manually walk these
30, 40 meter high stockpiles. Sometimes
these could be coal stockpiles really, which
sort of have the propensity to
spontaneously combust. So your shoes
would be melting, even as you're walking
over these stockpiles. �And drones being
able to immediately remove these types of
surveyors from these stockpiles to provide
them with immediate safety value. And we
were very excited to see how drones have
quickly become a part of the mining
industry's daily routine and are only
growing."
Powered by FlytNow
1. Safety and reducing accidents
By using autonomous systems and drones
equipped with AI, mining companies can
improve safety by reducing the need for
workers to enter hazardous areas, such as
steep slopes or unstable ground. These
technologies can detect and predict safety
hazards, allowing for proactive measures to
prevent accidents.
Autonomous drone systems enable mining
companies to access hard-to-reach areas and
monitor equipment and infrastructure on mine
sites such as conveyor belts and processing
plants for wear and tear, reducing downtime
and preventing breakdowns. AI can further
optimize mining processes like ore extraction
and waste removal, leading to increased
productivity and reduced costs.
Some of the most promising applications of
autonomous technologies and AI in the mining
industry:
2. Productivity and efficiency
3. Decreasing environmental impact
and increasing sustainability
Drones and sensors monitor mining's effects on
ecosystems, then AI analyzes the data to find
improvements. These technologies enable
targeted tracking of mining exploration' impact
and efficient resource use, which minimizes
damage and promotes responsible practices.
Powered by FlytNow
Christopher highlights how Rio Tinto's Mine of
the Future program is a successful example of
utilizing technology to improve safety,
productivity, and cost-effectiveness. Launched
in 2008, the program uses autonomous
technologies and AI to enhance mining
processes. By incorporating autonomous
trucks, drills, and trains, the company has
decreased the number of workers on-site,
while simultaneously improving safety and
efficiency.
A. Rio Tinto's Mine of the
Future Program
The Gudai-Darri Mine in Western Australia is an
impressive instance of this program, as it is
fully autonomous and remotely controlled from
a central operations center, where workers
monitor the mine's operations and make
real-time decisions based on data gathered
from sensors and cameras.
This mine has been very successful, with Rio
Tinto reporting significant value and
improvements in safety, productivity, and cost
reduction. With the use of autonomous
technologies and AI, Rio Tinto has been able to
minimize waste and increase accuracy in
mineral extraction, resulting in better efficiency
and productivity.
Successful
Case
Studies
ofAutomation
Inthe
Mining
Industry
Successful
Case
Studies
ofAutomation
Powered by FlytNow
Automation software such as FlytNow,
enables businesses to deploy drone fleets
on routine missions to capture visual data
in real-time. Mine operators can schedule
missions at a regular interval to track the
progress of work in mining sites from the
comfort of their offices.
FlytNow for Autonomous
Drone Data Collection
B. Barrick Gold’s Digital
Transformation
Autonomous Haulage System (AHS):
Powered by advanced sensors and GPS
technology AHS allows the trucks to navigate
the mine site and transport materials safely
and efficiently without any human
interference.
Predictive Maintenance: Using data analytics,
Barrick anticipates equipment failures before
they occur. This allows for proactive
maintenance, reducing downtime and
improving productivity.
Real-time Data Analytics: The company has
invested in a real-time data analytics
platform that enables them to collect, store,
and analyze data from every stage of their
mining operations. This allows for more
informed decision-making, optimization of
processes, and better resource allocation.
Digital Mine Planning: By using advanced
digital mine planning tools, Barrick created
accurate and detailed models of the mine
site, optimizing the layout of equipment and
infrastructure, and minimizing waste and
environmental impact.
Safety Improvements: Barrick has
implemented a number of safety initiatives,
including the use of wearable technology to
monitor workers' vital signs, real-time
monitoring of hazardous areas, and the
incorporation of safety protocols into their
autonomous technologies.
Drones can play a vital role in improving the
safety of inspections in the oil and gas industry.
With their ability to fly closer to the ground,
drones can provide high-resolution aerial data
Barrick, one of the world's leading gold mining
companies, has implemented a range of
innovative technologies to improve safety,
efficiency, and sustainability in their operations.
These include:
Powered by FlytNow
Apart from rapid data collection, FlytNow
enables companies to integrate alarm
monitoring systems, which enable drones to
autonomously take off from docking stations,
fly to precise locations, capture video feeds,
relay them back to the command center, and
return to the docking station without human
interference.
This feature provides mine operators with
quick access to accurate incident reports,
allowing them to respond promptly and
effectively to any issues that arise.
Want to see
FlytNow in action?
Want to see
FlytNow in action?
Schedule a demo

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How Autonomous Drones in Mining are Revolutionizing the Industry

  • 1. How Drone Autonomy and AI are Revolutionizing the Mining Industry: Advancements & Impact Discover how autonomous drones and AI are transforming the mining industry with improved efficiency, safety, and accuracy. Learn about the latest technological advancements that are driving this revolution. Powered by FlytNow
  • 2. How a Combination of Drone Technology, Autonomy & AI are Redefining Mining Operations Drone technology is increasingly being used in the mining sector to enhance safety and efficiency. They provide access to difficult or unsafe areas like mine pits, tailing dams, and stockpiles. Drone surveys and mapping of mining sites quickly and accurately, allow companies to generate digital surface models and digital elevation models to not only provide an accurate representation of the site but to also optimize processes such as ore extraction and waste removal Additionally, drones monitor mining equipment and infrastructure, like conveyor belts and processing plants, for wear and tear, enabling timely maintenance and reducing downtime. By adding autonomy & AI to this mix, mining companies can gather data of large mine sites and monitor operations around the clock, without human operators, improving productivity and efficiency. AI can further analyze data to identify patterns and trends difficult for humans to detect. Companies can therefore have systematic data to make better decisions and reduce costs by identifying inefficiencies and areas for improvement. Introduction As Christopher puts it, "By combining drone autonomy and AI, a unique recipe begins to take shape. We can detect people and vehicles by applying AI models to thermal imagery captured by drones. When combined with autonomous drone-in-a-box solutions in mines and dangerous areas, it enables frequent drone flights that only activate when a vehicle or person is detected, presenting an exciting opportunity for drone autonomy and AI to collaborate." The mining industry may not be the most glamorous, but it is undeniably important to the global economy, providing us with the raw materials necessary for everything from building infrastructure to powering our electronics. In recent years, the industry however, has faced criticism for its environmental impact and the safety of its workers. As a result, the use of more drones for mining, autonomy, and artificial intelligence (AI) in mining has emerged as a potential solution to these challenges. During one of the NestGen'23 sessions, we spoke with Christopher Clark, CEO of Delta Drone International (ASX:DLT), a multi-national drones-as-a-service business dedicated to solving real-world challenges in the enterprise mining and agricultural industries by providing fully outsourced aerial drone data and solutions. In the session we discussed how a combination of drones, autonomy, and AI can help mining companies address many of the challenges they face and pave the way for a more efficient mining industry. Christopher Clark CEO of Delta Drone International Powered by FlytNow
  • 3. Just to set some context, Christopher shares a typical scenario in a mine-site - “If you wanted to calculate the volume of a stockpile and essentially how much a mine is digging out the ground, you would have to send men who would manually walk these 30, 40 meter high stockpiles. Sometimes these could be coal stockpiles really, which sort of have the propensity to spontaneously combust. So your shoes would be melting, even as you're walking over these stockpiles. �And drones being able to immediately remove these types of surveyors from these stockpiles to provide them with immediate safety value. And we were very excited to see how drones have quickly become a part of the mining industry's daily routine and are only growing." Powered by FlytNow 1. Safety and reducing accidents By using autonomous systems and drones equipped with AI, mining companies can improve safety by reducing the need for workers to enter hazardous areas, such as steep slopes or unstable ground. These technologies can detect and predict safety hazards, allowing for proactive measures to prevent accidents. Autonomous drone systems enable mining companies to access hard-to-reach areas and monitor equipment and infrastructure on mine sites such as conveyor belts and processing plants for wear and tear, reducing downtime and preventing breakdowns. AI can further optimize mining processes like ore extraction and waste removal, leading to increased productivity and reduced costs. Some of the most promising applications of autonomous technologies and AI in the mining industry: 2. Productivity and efficiency 3. Decreasing environmental impact and increasing sustainability Drones and sensors monitor mining's effects on ecosystems, then AI analyzes the data to find improvements. These technologies enable targeted tracking of mining exploration' impact and efficient resource use, which minimizes damage and promotes responsible practices.
  • 4. Powered by FlytNow Christopher highlights how Rio Tinto's Mine of the Future program is a successful example of utilizing technology to improve safety, productivity, and cost-effectiveness. Launched in 2008, the program uses autonomous technologies and AI to enhance mining processes. By incorporating autonomous trucks, drills, and trains, the company has decreased the number of workers on-site, while simultaneously improving safety and efficiency. A. Rio Tinto's Mine of the Future Program The Gudai-Darri Mine in Western Australia is an impressive instance of this program, as it is fully autonomous and remotely controlled from a central operations center, where workers monitor the mine's operations and make real-time decisions based on data gathered from sensors and cameras. This mine has been very successful, with Rio Tinto reporting significant value and improvements in safety, productivity, and cost reduction. With the use of autonomous technologies and AI, Rio Tinto has been able to minimize waste and increase accuracy in mineral extraction, resulting in better efficiency and productivity. Successful Case Studies ofAutomation Inthe Mining Industry Successful Case Studies ofAutomation
  • 5. Powered by FlytNow Automation software such as FlytNow, enables businesses to deploy drone fleets on routine missions to capture visual data in real-time. Mine operators can schedule missions at a regular interval to track the progress of work in mining sites from the comfort of their offices. FlytNow for Autonomous Drone Data Collection B. Barrick Gold’s Digital Transformation Autonomous Haulage System (AHS): Powered by advanced sensors and GPS technology AHS allows the trucks to navigate the mine site and transport materials safely and efficiently without any human interference. Predictive Maintenance: Using data analytics, Barrick anticipates equipment failures before they occur. This allows for proactive maintenance, reducing downtime and improving productivity. Real-time Data Analytics: The company has invested in a real-time data analytics platform that enables them to collect, store, and analyze data from every stage of their mining operations. This allows for more informed decision-making, optimization of processes, and better resource allocation. Digital Mine Planning: By using advanced digital mine planning tools, Barrick created accurate and detailed models of the mine site, optimizing the layout of equipment and infrastructure, and minimizing waste and environmental impact. Safety Improvements: Barrick has implemented a number of safety initiatives, including the use of wearable technology to monitor workers' vital signs, real-time monitoring of hazardous areas, and the incorporation of safety protocols into their autonomous technologies. Drones can play a vital role in improving the safety of inspections in the oil and gas industry. With their ability to fly closer to the ground, drones can provide high-resolution aerial data Barrick, one of the world's leading gold mining companies, has implemented a range of innovative technologies to improve safety, efficiency, and sustainability in their operations. These include:
  • 6. Powered by FlytNow Apart from rapid data collection, FlytNow enables companies to integrate alarm monitoring systems, which enable drones to autonomously take off from docking stations, fly to precise locations, capture video feeds, relay them back to the command center, and return to the docking station without human interference. This feature provides mine operators with quick access to accurate incident reports, allowing them to respond promptly and effectively to any issues that arise. Want to see FlytNow in action? Want to see FlytNow in action? Schedule a demo