Industrial conveyor belts are the backbone of mining, manufacturing, logistics and many other process industries. Yet unexpected failures in rollers, belts, motors or bearings can bring entire production lines to a halt, resulting in significant operational losses, safety risks and expensive maintenance interventions.
To address this challenge, ennomotive, the global open innovation platform for engineering, has launched an international competition to identify innovative monitoring and predictive maintenance solutions capable of continuously assessing conveyor belt health and anticipating failures before they occur.
The initiative addresses a real operational challenge faced by CMPC, one of the world's leading pulp and paper companies. Conveyor belt failures can interrupt production, increase maintenance costs and reduce plant availability across large-scale industrial operations. Improving the early detection of anomalies has therefore become a strategic priority for increasing reliability and operational efficiency.
The winning solution will be validated in production environment
The challenge seeks proposals combining industrial sensors, computer vision, artificial intelligence, machine learning, edge computing, digital twins or any other advanced technology capable of improving the reliability, availability and maintenance efficiency of conveyor systems. Solutions may range from commercially available technologies adapted to this application to entirely new approaches for condition monitoring and predictive analytics.
The competition is open worldwide to technology companies, scaleups, research centres and engineering firms with expertise in artificial intelligence, industrial automation, predictive maintenance, IoT or related fields.
This is an opportunity to become a technology supplier to one of the world's leading pulp and paper companies, with manufacturing operations in Chile, Brazil, Argentina and other countries. The winning solution will begin with a validation project at one of CMPC's industrial facilities, with the potential for future large-scale deployment.
Participation:
Interested participants should register at www.ennomotive.com, join the challenge and submit their proposal before August 4, 2026. Full technical information, evaluation criteria and participation requirements are available on the challenge page: https://www.ennomotive.com/challenge/ai-powered-conveyor-belt-monitoring-and-predictive-maintenance/
About:
ennomotive is the leading open innovation platform that connects companies with engineers and startups from all over the world to solve technology and engineering challenges. Companies post their challenges as a kind of contests on the platform and rewards the best solutions with cash prizes, projects and recognition.
The platform operates in Europe and Latin America with customers from diverse industries such as automotive, energy, mining, construction, manufacturing and others. Since 2015 ennomotive has organized +100 global challenges related to mechanical engineering, electrical, energy and water, 3D printing, IoT, satellite, AI, new materials, etc.
