In cement manufacturing, where energy costs account for 75% of the budget, kiln optimization proved groundbreaking reducing energy costs by an astonishing 5%.

Our patented AI-driven industrial solution, Ripik Vision can operate in real-time and provide instant identification of the cement kiln’s status, categorizing it as hot, dusty or, ideally, healthy. The primary objective is to improve the operator’s control of maintaining the kiln in a healthy state for longer sessions. The suite achieves this through optimal fuel rate recommendations, early warnings, and post-mortem analysis. By utilizing live input camera feeds and advanced computer vision, the product autonomously assesses the kiln’s condition without human intervention, leading to a substantial reduction in periods when the kiln is either dusty or hot. Simultaneously, it enhances the duration during which the kiln remains in a healthy state for eco-friendly kiln practices.

The software stores kiln images on the cloud, allowing easy access through a user-friendly web application. It uses neural network models to recommend optimal fuel rates and functions and provides real-time manufacturing insights through centralized tracking.