It states that, among these technologies, AI-driven monitoring systems are emerging as valuable tools for improving asset reliability and identifying developing issues before they result in unplanned downtime.

DGC Africa has, similarly, developed its Vision AI platform, which combines camera technology, thermal imaging, AI and advanced analytics to monitor critical mining and industrial assets in real time.

The platform is designed to transform visual and thermal data into actionable insights, enabling plant personnel to detect abnormalities, assess asset condition and proactively respond to changing operating conditions.

Its applications span a range of mining and processing environments, including crushing and screening plants, conveyor systems, stockyards, mills, materials handling infrastructure, processing facilities, furnaces, kilns, boilers and other production-critical assets.

DGC Africa notes that, by continuously analysing visual and thermal conditions, Vision AI can identify abnormal heat signatures, equipment deterioration, refractory wear, material build-up, process instability and other indicators that may signal developing maintenance or operational concerns. This capability supports asset integrity management programmes by providing early warning of conditions that may otherwise remain undetected between scheduled inspections.

“The technology is particularly relevant in mining environments where equipment operates continuously under demanding conditions and where even short periods of unplanned downtime can have significant production and cost implications.”

Rather than relying solely on periodic inspections, operators can access real-time information on asset condition, enabling maintenance teams to prioritise interventions based on actual data and observed trends, DGC Africa points out.

The platform supports predictive maintenance by helping operations identify patterns that may indicate future failures or declining performance, thereby allowing maintenance activities to be planned more effectively, reducing unexpected outages and improving resource allocation.

Vision AI also contributes to safer working environments.

DGC Africa points out that many critical assets are located in high-temperature, hazardous or difficult-to-access areas where routine inspections can expose personnel to operational risks. Remote monitoring capabilities enable teams to maintain oversight while reducing the need for frequent physical inspections, helping to improve safety and operational efficiency.

Further, Vision AI provides operational intelligence to help optimise plant performance. DGC Africa notes that continuous analysis of process conditions can highlight deviations from normal operating parameters, enabling operators to investigate and address issues before they affect throughput or product quality.

For thermal process applications, the platform can help with identifying heat losses, refractory deterioration and temperature inconsistencies that could affect overall system performance. “Improved visibility of these conditions supports more effective maintenance planning and contributes to efficient operation.”

DGC Africa suggests that the adoption of technologies such as Vision AI forms part of a broader shift towards data-driven asset management, where “operational decisions are increasingly supported by real-time information rather than fixed inspection intervals alone”.

As this digital transformation accelerates, technologies that deliver actionable insights are becoming increasingly important tools.

DGC Africa will showcase its Vision AI platform at Electra Mining Africa 2026, where visitors will be able to experience a live demonstration of the technology and explore how AI-driven monitoring can support safer, more reliable and more efficient mining and processing operations.

Hall 5 Stand H09