Face Recognition Technology in the Mining Industry

Home Artificial Intelligence Face Recognition Technology in the Mining Industry

Facial recognition technology has been hailed as a game-changer in a variety of industries, from retail to law enforcement. However, its use in the mining industry is often underrated.
In the past, facial recognition technology was used primarily for mine security purposes, such as keeping track of who enters and exits an excavation site. However, this technology is now also being used to track the movement of workers, drowsy driving and equipment within working perimeter. This allows the company to optimize its operations and ensure that they are complying with safety regulations.
The use of facial recognition technology in the mining industry is still in its early stages, but it has the potential to transform the way they are operated. This technology can help to improve safety, optimize operations, and ensure compliance with regulations.

The Adoption and its benefits

As the mining industry looks to the future, touchless access control and workforce management are adopted in mine security. These systems help in

  • Reducing costs,

  • Improving safety,

  • Increasing efficiency.

They ensure that relevant personnel can begin their shift on time to maximize productivity, as even small delays incur monetary losses and time delays. Safety and security are chief concerns in any mine setting, not just because of the potential dangers but also due to the emergence of new threats such as cave-ins and toxic gasses. To mitigate these risks, mines utilize sensor and face recognition technology to monitor the movement of workers and gauge environmental conditions. The input this technology provides enables managers to respond swiftly and appropriately during hazardous situations; thus making operations run smoother and protecting workers.

Real-time Applications

Perimeter security and access control

Traditional methods of security such as manual monitoring can be improved by incorporating facial recognition technology. This system is connected to a database of registered individuals like employees, visitors, and contractors, who are given access to the property, while those on a ‘block list’ are blocked. This eliminates the need for a security staff member to sit at a console and monitor multiple screens, as all their tasks are done automatically. The alerts can be sent in real-time if identified breaches occur, increasing security standards drastically while lowering costs.

Contactless Authentication

Organizations are making a shift toward contactless authentication options to protect against the spread of illnesses. Companies now use facial recognition technologies that can identify people wearing masks. In addition, the improved tech delivers highly accurate facial recognition results which enable secure and contactless authentication processes.

Mask detection

Organizations need to prepare for future pandemics, and masks are one of the best defenses against the spread of viruses. Facial recognition technologies can help enforce mask-wearing rules by detecting if an employee is or isn’t wearing a face mask. If an individual tries to enter a facility without a proper face mask, the technology will immediately alert personnel so they can intervene and ensure that the person puts on their mask. Furthermore, the system can detect if someone has removed their face mask while they’re in a facility so that management can take necessary action.

The Future

Face recognition technology has come a long way in recent years, and it shows no signs of slowing down. Businesses can keep their

  • Workplaces secure by automating access control,

  • Retailers can provide smoother customer experiences in-store, and

  • Fintech companies can enhance authentication processes

and that’s just the tip of the iceberg. Face Recognition technology is part of the future, and for it to be impactful and effective, we must debunk common falsehoods about it while enhancing its positive value.

Mathu G

Comments (2)

  1. September 11, 2020
    Lina
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  2. September 11, 2020
    Jayz Marcop
    Reply

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