Case Study: Marmon Holdings achieves real-time machine utilization visibility with Provectus AI video analytics

Marmon Holdings deploys AI machine monitoring across 400+ plants in 5 weeks with Provectus

Marmon Holdings, a global industrial manufacturing organization and Berkshire Hathaway subsidiary, faced a challenge in measuring machine utilization across its vast network of over 400 facilities. Their operations team lacked data to quantify idle time and accurately assess the impact of workflow changes, relying instead on observation. Provectus was engaged to build an automated system to collect and analyze this data in real time.

Provectus implemented a cost-efficient video analytics system that uses edge machine learning to detect machine status from existing indicator lights, eliminating the need for new sensors. Deployed in just five weeks, the solution provided real-time and historical data on run and idle time, turning estimates into actionable numbers. The successful pilot at a single plant proved the system's accuracy and opened a path for a simple, scalable rollout across Marmon's entire network of facilities.

Marmon Holdings