Camera and wearable AI solution that optimises plant and worker safety
Key Facts
in-zone alert time
accuracy for detection of safety incidents before they happen
up to
indirect cost saving per $1 direct investment
Next Steps
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Key Business Benefits

Reduce production outages, improve margin
Shift from reactive to proactive approach to safety
Live, actionable oversight to ensure worker safety
Real time situational awareness

Deployed By

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Full Description

This system uses cameras and wearables to detect potential safety breaches and near misses. This allows supervisors to act before an incident takes place and conduct proactive training to reduce the chance of future occurrences. By shifting the approach to workplace safety from reactive to proactive, billions of dollars in lost production can be avoided. This is all possible through the use of sensor-fusion based AI and computer vision real-time location services. Worker safety is ensured by using actionable oversight obtained through a combination of multiple sensors and analytics.

The Challenge

Mining and metals processing are challenging environments and workers can sometimes not understand or be aware of potential risks during their work. Workers may not follow safety rules to try and get work done faster and this can lead to accidents. While these tragic events are damaging enough, they also accumulate hours of lost time and billions in costs. Traditional video surveillance is not practical in a mine and often difficult in metals processing plants- nor is it good enough to rely on supervisor observation methods to assess worker and environmental safety. Opportunities to miss critical events always exist due to distraction, human error, fatigue and lone working. The entire legacy process is reactionary, with the inability to offer real-time proactive warnings to workers.

The Approach

With industrial-grade wearables and manager portals, this solution offers end-to-end efficiency that alerts management and workers in real time to potential safety hazards. Cutting-edge technology tackles the problem of workplace safety by continuously monitoring worker behaviour and generating a more complete situational understanding of every worker's environment. This complete understanding allows the system to intervene intelligently and help prevent accidents in real time. The system also works on edge without a connection and automatically downloads data once a network is connected. This allows the system to run in remote mining locations, such as an underground headings, where internet is not available or on remote exploration sites. This is an AI solution that scans through inputs, such as cameras, in real-time, and proactively and immediately alerts workers and managers to safety concerns. The real-time situational awareness, location services, and insights into worker activity increase productivity and ensure workers are acting within safety parameters. Features include geofencing, PPE detection, safety zone compliance, fall detection, vehicle-worker collision protection, and proximity warnings. It’s an end-to-end system that provides a cloud-based user portal with predictive analytics, and a coaching module to build overall safety adherence.

Axora Solution Code


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