Bright Rwodzi
Technical Sales Executive Dunlop Belting Products
Bright Rwodzi is the technical sales executive at Dunlop Belting Products and a seasoned technical and manufacturing professional with extensive experience in the heavy-duty manufacturing, mining, and bulk materials handling sectors. He brings more than two decades of hands-on expertise in conveyor belt design, manufacturing, monitoring systems, and performance optimisation, supported by a strong background in applied chemistry, quality assurance, and lean manufacturing principles. Bright holds a Master of Business Administration from Nelson Mandela University and an Honours degree in Applied Chemistry from the National University of Science and Technology. At Dunlop Belting Products, he supports customers operating in demanding environments by applying practical technical insight to complex conveyor belting challenges, combining manufacturing knowledge with operational performance requirements across the EMEA region. Beyond his role at Dunlop Belting Products, Bright is actively involved in industry leadership and standards development. He serves as a Director of the Conveyor Manufacturers Association, responsible for belting and indentation rolling resistance testing, and is Chairman of the Institute of Materials, Minerals and Mining (IOM3) Northern Branch in South Africa. Bright is also the current chairman of the South African Bureau of Standards’ Technical Committee TC0045 responsible for rubber and rubber products standardisation. He is recognised for his practical, data-driven approach to continuous improvement and sustainable manufacturing performance.
2026 Agenda Sessions
Tech-In-Action - AI That Watches Your Belt So You Don’t Have To
AI is widely discussed in mining, but its practical application is often unclear.
In this Tech-In-Action session, Dunlop Belting Products unpacks how AI, machine vision, and digital twin technology are applied to conveyor belt management in real operating environments. Through a guided presentation supported by visual content, the session shows how multiple condition inputs are brought together into a single, intelligible view of belt health and operational risk.
Delegates will be taken through how belt behaviour is analysed over time, how visible failures such as tears, mistracking, and splice degradation are identified, and how predictive intelligence supports better maintenance and operational decisions. The session also demonstrates how failures can be traced from site conditions back to manufacturing and laboratory insight, closing the loop between operation and production.
The presentation focuses on what AI means in practice: continuous monitoring, learning from operating conditions, and reporting by exception so teams can focus on action rather than data.
Wednesday 11 February 11:40 - 12:00 Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall)
Disruptive technologies
AI is widely discussed in mining, but its practical application is often unclear.
In this Tech-In-Action session, Dunlop Belting Products unpacks how AI, machine vision, and digital twin technology are applied to conveyor belt management in real operating environments. Through a guided presentation supported by visual content, the session shows how multiple condition inputs are brought together into a single, intelligible view of belt health and operational risk.
Delegates will be taken through how belt behaviour is analysed over time, how visible failures such as tears, mistracking, and splice degradation are identified, and how predictive intelligence supports better maintenance and operational decisions. The session also demonstrates how failures can be traced from site conditions back to manufacturing and laboratory insight, closing the loop between operation and production.
The presentation focuses on what AI means in practice: continuous monitoring, learning from operating conditions, and reporting by exception so teams can focus on action rather than data.
Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall) Africa/Johannesburg
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