Artificial Intelligence (AI) is redefining the future of mining, bringing new ways of learning and deep analysis to a vast range of services.
It is changing the way we live and work – these days, every connected device, machine, website and IP-related asset in the company is capable of recording useful data which can then be harnessed and used as a tool for business success.
In the age of automation, mine sites rely on data.
This is being collected from IoT-connected devices and nodes throughout the modern mine, and fed back to operations to keep machines running, establish efficiencies, provide reports for predictive maintenance, optimise the movement of remote vehicles throughout a mine, and so forth.
While a host of these more ‘obvious' data collection points exist in a mining organisation, collected data from the company's IP surveillance cameras remains a largely untapped source.
Enhanced security of a mine site or related premises using recorded data from video technology remains a critical part of any advanced security strategy.
Nowadays, it also brings a host of productivity initiatives and opportunities, cost efficiencies and new offerings for business optimisation.
With the increased capabilities brought by AI, video analytics is arriving at a point where it can perform tasks that will have a direct impact on security, safety and efficiency.
New, better brains lead to greater accuracy
Facial recognition is a case in point, with a 99.9% accuracy rate when compared to conventional sources such as manually scanning ID cards, according to a study by IHS Markit.
A faster, more efficient and accurate means of identifying staff and visitors to a site provides immediate benefit such as improved security and faster access.
When combined with an advanced access control platform, facial recognition and video analytics allows administration or security staff to instantly access a database of information on a staff member or visitor, and sound alerts if there are security issues attached to their presence at a certain part of the facility.
In addition to facial recognition, a surveillance solution built around advanced video management software (VMS) can host many other cutting-edge functions to enhance mine site safety.
From identification of cars (even if the licence plates have been changed), to mapping out foot traffic within a mine site or facility, companies need to ensure a strong duty of care to employees but still maintain ultimate control over the company assets.
Functions such as licence plate recognition allow the organisation to take more control over the people and vehicles that enter a sensitive site, or even give them the ability to tier security clearance within different sections of a site, which will have a direct benefit on employee safety as well as reducing the risk of theft or even more sinister activities.
Video footage can now be subject to access control protocols in the same manner that doors and certain areas of the facility are kept ‘off limits', making sure that footage of sensitive areas can only be accessed by high-level administrators.
Staff and facilities can be monitored at a much higher level than ever before, but sensitive data can be kept safer than was previously possible.
Advanced video analytics can also map out foot traffic of employees in a mine site or a particular area of the operation and allow for deep learning to be applied to that mapping and foot traffic.
Such analysis can lead to insights on employee behaviours, mapping of inefficient workplace practices, unsafe movement throughout the mine or facility, and much more.
Improved capabilities, better efficiency
Having improved capabilities allows a mining organisation to enhance their operations, sometimes in areas that might not be directly connected to security.
Monitoring the operation of equipment and resources can have a direct impact on business efficiency, especially in the age of automation.
For example, using an open source, IP-based VMS and network of IP cameras to detect and monitor water levels in a mine site, or infra-red cameras to monitor the operating temperature of solar panels in a remote area can lead to significant savings in both manpower and labour costs.
The same technology can also potentially save lives, as an open-platform VMS allows the camera network to be linked to an alarm system which can sound warnings when someone enters a dangerous area.
Cameras can detect movement in a restricted zone, zoom in on the features of the person, and have FR and video analytics establish who that person is.
They can then be automatically assessed to see if they have the necessary approvals to enter a site – such as workplace health and safety certificates and training – and if not, an alert can be issued to administrators that an individual is placing themselves in a dangerous situation.
The gateway to a brighter future
Open software platforms will allow a facility to add more cameras, as well as offer the flexibility to scale around within the facility, with the ability to integrate and embed a wide range of third-party applications and business systems directly.
This provides benefits for companies in the energy sector, allowing them to add on more surveillance hardware while integrating it seamlessly with a centralised system.
It is just the beginning.
Enhanced security, deep learning on employee movement, the integration of security and business tools, and a never-ending array of new analytics capabilities will drive an efficient VMS to become a core part of any energy company's security plan.
This will enable the business to experience continued productivity benefits in the long-term.