For a moment, if we keep the economic pressure aside, global warming too is challenging mines to stay sustainable while at the same time maintaining profitability, which is indeed quite a steep challenge. As per ABB, 30% of mines happen to be falling short of their respective decarbonization objectives.

The demand when it comes to productivity and sustainability goes on to make keeping check on efficiency as well as safety an utmost priority. However, manual 24×7 tracking when it comes to intricate processes, large equipment, and dynamic environments happens to be quite time-consuming and also error-prone in addition to being dangerous.

AI-powered automation and also computer vision can help solve these issues and also speed up the progress of mines.

It is well to be noted that computer vision is all set to transform the industry by way of offering real-time visual insights when it comes to the entire mining lifecycle, right from mineral processing to safety of the workers to even security of the site. All this goes on to enhance safety and productivity as well as sustainability throughout the value chain in order to address the issues proactively as they take place and also provide optimization options. There is not a shred of doubt that computer vision is the future of mining.

So, What is Computer Vision?

Computer vision happens to be a subtype of artificial intelligence that goes on to detect objects, events, and people in real-time, thereby offering data that’s actionable so as to improve operations. Leveraging the neural networks as well as machine learning, computer vision goes on to enable computers to evaluate as well as gauge the environment that’s around them. This tech can be easily blended with the existing cameras and also complements the sensor and machine vision tech that’s already existing in the mining market, like temperature as well as pressure sensors, advanced machinery, and also robotics. Due to the fact that computer vision goes on to gather real-time data that is more precise as compared to manual tracking, it is both cost and resource effective over time. It enables the operators to address the safety violations and slowdowns, detect the anomalies, and also target inefficiencies in no time. The fact is that computer vision happens to be a practical subset of AI that leaders across sectors have been using to witness a transformative impact and return on investment from.

Use Cases When It Comes To Mining

Computer vision goes on to transform health and safety, logistics, environmental tracking, and also site security when it comes to mines, thereby boosting sustainability and also productivity. It helps the mines to keep in sync with the industry standards as well as demands and also remain profitable in addition to being scalable. Due to the consistent concerns over safety, shortage of labor, environmental pressures, as well as very tight deadlines that the mining sector happens to be facing, computer vision, without a shred of doubt, is absolutely revolutionary.

Drilling as well as Excavating

A drill that’s unplanned and downtime of the excavator on the sites where the mines exist are a detriment to productivity and profits. One tiny little slowdown or a machine breakdown can happen to cost loads in the lost revenue. However, this is where computer vision comes into the picture.

It can as well detect some worn-out or broken drill bits as well as shovel teeth, track drill and excavator processes, and also its performance in real-time, thereby throttling productivity and also decreasing interruptions, which tend to be quite expensive. It also happens to send real-time and proactive alerts to operators in order to prevent the overuse of the equipment, dip the maintenance costs, and help enhance the efficiency at the site. All such enhancements not just elevate the bottom line but at the same time also limit emissions that are unnecessary and hence enable the mines to be more sustainable than ever.

Hauling

The ever-rising cost of labor, energy, and materials all lead to making it very hard for mines to stay profitable. But computer vision helps to enhance as well as automate mine hauling by giving out data in real time, eradicating any bottlenecks, and allocating the resources in a better way. All this helps to decrease any sort of unnecessary emissions. How does that happen?

Computer vision can go on to monitor the truck cycle timing, thereby detecting queries if any or also tracking ideal trucks that do not have any loads. It can as well track ore as well as waste dumps just to ensure that there’s no valuable ore happens to be placed in a waste dump or other way round. It can also detect the loading as well as misloading when it comes to haul trucks, therefore alerting management if any of the ore happens to be placed in an incorrect way. It can also prevent collisions when it comes to trucks and also equipment in open-pit mines through tracking the truck paths, pinpointing hazards in real-time, and at the same time alerting drivers or triggering an autonomous braking system.

It is worth noting that computer vision can also monitor machine status so as to resolve any sort of slowdowns or breakdowns. It makes sure that major processes such as muck and hail and also load activity go on to optimize load clearance and also gives out suggestions for improvements in the future by way of predictive as well as prescriptive analytics. This tech offers alerts in real-time for any sort of bottlenecks, delays, as well as labor and machine slowdowns, so that the operators can act when required and also stay profitable.

Processing

Mineral processing happens to be arguably the most prominent of the steps in mining operations when ore that’s valuable is put together and separated from the waste material. It is well to be noted that computer vision can very well surveil the conveyor belts and that too in real-time and also alert in case of any sort of mechanical failures, blockages, tears, or spills. It can also help in notifying if the primary crusher gets blocked so as to prevent downtime that’s unnecessary and also prevent processing from getting slowed down. Also, particle-sized distribution can get evaluated, therefore preventing any sort of oversized pieces from getting passed further in the process of mineral processing. Computer vision goes on to offer alerts in real time for any sort of processing issues so that mines do not go on to forfeit precious time as well as revenue. It also automates the identification of inefficiencies so that the productivity gets maximized to capacity and the processing workflows get streamlined.

Safety and Health

Mining jobs call for some of the very dangerous and injury-prone situations, and hence monitoring the safety of workers is very essential. Moreover, the investors as well as customers happen to be prioritizing ESG elements more than before, with the major focus being employee safety.

Maintaining a workforce’s safety while at the same time scaling operations can be intricate, but computer vision happens to give out a solution. This tech can make sure of personal protective equipment—PPE compliance—through automatically tracking gear and also alerting the management in case any worker is not complying with the right safety protocols. All this can be done simultaneously with the help of facial blurring so as to safeguard the privacy of the worker, individually alerting the management so as to visit the scene and also take care of any challenges as fast as possible.
Computer vision can also safeguard breaches through tracking hazardous zones too. If workers go on to enter a restricted area, real-time alerts can very well be sent to the mine operators just so that breaches could get resolved before they get a chance to escalate. Fires, spills, and leaks can also get detected in real-time and, in a way, can go ahead and proactively address safety along with environmental issues.

The automated monitoring of computer vision enables mines to get hold of alerts in real-time for any sort of issues that occur so as to keep the workers protected and also comfortable.

Monitoring of the Environment

As sustainability as well as ESG demands go on to see a rise, monitoring the environmental health in and around the mine sites is pivotal for protecting the safety of the workers along with wildlife and, of course, the reputation of the mines. In addition, mines also happen to be facing environmental regulations that are stringent, thereby needing immediate compliance so as to continue with the operations.

It is well to be noted that computer vision can very much help tackle these sorts of pressures. This tech can track and at the same time also count the fauna so as to keep a tab as far as environmental health around the mine site area is concerned. It can very well lower the environmental footprint of the mine through automating major sustainability processes such as energy management and waste monitoring so as to decrease the emissions as well as the usage of the resources.

For instance, it happens to detect any discharge anomalies of water in order to prevent pollution and also costly fines. Through tracking the distribution when it comes to the tailing material, any sort of unplanned accumulations can as well get identified so as to protect the wall of the dam. Computer vision offers real-time alerts for any sort of environmental issue so they can, in a way, promptly be addressed just so that the mines remain productive.

Security of the Site

Mines happen to be large, are a theft target, and are also difficult to keep tabs on. Traditional manual tracking is costly, and there is always a scope of error that’s involved. Just because computer vision can go on to automate as well as safeguard the security of the site, keeping track of the perimeter of the site and also sending real-time alerts in case of unauthorized theft or breaches so that security can go on to swiftly respond to the issues. Cameras, which happen to be placed around the site of the mine perimeter, can also detect breaches in security, whereas cameras that are placed around the restricted areas as well as precious resources can also go on to alert any pilferage and theft.

The real-time insights of computer vision can go on to secure sites and also valuable materials while at the same time protecting the safety of the workers and prioritizing ESG goals.

The Fact: Computer Vision is Practical

Computer vision happens to be the key to mining enterprises, come what the size, since it is practical. It happens to show the leaders what is taking place in their businesses as it takes place, thereby acting as a digital superintendent. It presents data that’s actionable that’s required to make immediate sustainability as well as functional improvements and, at the same time, stay ahead of the curve in an industry that’s competitive.

Establishing a successful computer vision solution happens to be intricate as well as time-intensive; however, end-to-end platforms exist where one can build, roll out, and also manage applications in one single place. Moreover, if, in case, the mining enterprises do not happen to have the required engineering talent in order to come up with solutions themselves, some computer vision offerors can as well take over the complete process, which would include constructing and also rolling out solutions for the unique needs of the mine as well as the environment. The fact is that computer vision is, without a shred of doubt, the future of mining, and it has found its true place.

It is well to be noted that lithium, as well as other critical minerals such as rare earth metals, has gone on to garner immense global attention as US President Trump focused on countering the dominance of China within the sector through offering production deals to both Russia and Ukraine.

Lithium, which happens to be a metal that’s necessary for electric vehicle production, happens to be included in the list of 50 minerals that are deemed to be critical by the US Geological Survey. Russia, apparently, has gone on to report 3.5 million tonnes of reserves of lithium oxides. Interestingly, the US Geological Survey went on to estimate lithium reserves in Russia to be around 1 million tonnes in 2024 – which is the 14th largest in the world. Lithium oxide has around one-third pure lithium. On the other hand, lithium carbonate has almost 20% pure lithium.

According to the ministry, the industrial lithium production in Russia is expected to start in 2030.

As per President Vladimir Putin, Russia must go ahead and speed up its plans to mine the deposits of lithium. It is worth noting that demand when it comes to lithium has grown in the years gone by as companies from Russia work on the mass production of lithium batteries as well as electric vehicles. The ministry added that Russia has traditionally imported lithium, and hence now it is indeed very important that they launch facilities faster and also raise the extraction and processing of this resource, which is indeed strategically very important for their economy.

The ministry said that it has gone on to issue licenses for exploration across three main lithium deposits—Polmostundrovskoye and Kolmozerskoye in the regions from Murmansk in northwestern Russia and Tastygskoye from the Tuva region, which shares its borders with Mongolia. All three deposits, as well as their adjacent production plants, are expected to be operational by the decade’s end. Significantly, Russia mined just around 27 tonnes of lithium as a byproduct in 2023 in the Ural Mountain region.

Apparently, Kolmozerskoye, which has one-fourth of Russia’s lithium reserves, happens to be operated by Polar Liithium, which is a JV of Nornickel—the Russian metal giant—and Rosatom—the state-owned firm in nuclear energy. On the other hand, Arctic Lithium—a private firm—happens to hold the license for Polmostundrovskoye, and Elbrusmetall-Lithium, which is a subsidiary of state defense and industrial conglomerate Rostech, happens to hold the license for Tastygskoye.