Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system. This ensured smoother operations, minimized downtime, and delivered significant cost savings.
Manual inspections frequently overlooked early signs of refractory damage, resulting in unplanned downtime. By contrast, AI-driven monitoring enables timely detection of wear, cutting downtime by 50% and enhancing operational reliability.
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency, minimizes equipment damage, and lowers energy consumption.
Achieved an 82% reduction in crusher blockages and a 20% decrease in unwanted stoppages in cement crusher operations by detecting oversized rocks in real time. This led to smoother operations, reduced downtime, and substantial cost savings.
Real-time camera intelligence to monitor materials, equipment, and processes, driving efficiency and consistency in industrial operations.
Hosts and manages hundreds of Vision AI Agents, enabling you to customize, deploy, and scale real-time monitoring solutions instantly across operations.
Let us walk you through a tailored demo experience.
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system. This ensured smoother operations, minimized downtime, and delivered significant cost savings.
Manual inspections frequently overlooked early signs of refractory damage, resulting in unplanned downtime. By contrast, AI-driven monitoring enables timely detection of wear, cutting downtime by 50% and enhancing operational reliability.
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency, minimizes equipment damage, and lowers energy consumption.
Achieved an 82% reduction in crusher blockages and a 20% decrease in unwanted stoppages in cement crusher operations by detecting oversized rocks in real time. This led to smoother operations, reduced downtime, and substantial cost savings.
Real-time camera intelligence to monitor materials, equipment, and processes, driving efficiency and consistency in industrial operations.
Hosts and manages hundreds of Vision AI Agents, enabling you to customize, deploy, and scale real-time monitoring solutions instantly across operations.
Let us walk you through a tailored demo experience.
Move beyond the limitations of traditional manual raw material size detection methods, which offer only 30-40% accuracy and lead to significant process delays. Our patented computer vision technology redefines the game, offering 24/7 real-time testing of particle size distribution.
Real-time monitoring of kiln refractory and tracking of hotspot regions on kiln refractory enhance durability, thermal efficiency, and prevent unexpected downtime. By identifying high-temperature areas early, operators can make proactive repairs and adjustments, optimizing heat distribution and improving energy efficiency in the cement industry while extending refractory life.
Kiln refractory monitoring uses IR cameras to warn of breakouts early
The kiln refractory monitoring system utilizes IR cameras to detect potential breakouts, alerting operators in advance and allowing them to take corrective actions before issues arise.
Tracks and identifies recurring hotspot regions
Real-time thermal imaging identifies hotspots on kiln refractory linings, increasing refractory lifespan by 30% and minimizing unplanned downtime.
Real-time alerts for recurring hotspots in certain regions.​
Real-time alerts for deviations or recurring hotspots in kiln refractory enable swift action, reducing downtime in cement plants.
Kiln images stored for postmortem analytics access.
Historical video feeds store kiln images, enabling access for postmortem analytics and detailed performance reviews.
Reports Based on Visual Data
Ripik's patented algorithm generates insightful reports on a dashboard, enhancing overall cement asset performance and optimizing operations.
Elevate product quality, streamline raw material monitoring, and achieve flawless sorting with SizeSense. Slash energy use, cut emissions, and turn process instability into predictable profitability.
By catching particle size anomalies early, SizeSense allows operators to take early action, reducing unnecessary energy consumption and fuel wastage during later processing.​
Real-time alerts for large particle sizes, enable proactive intervention before the material causes chute clogging or belt damage, minimizing breakdowns and unplanned stoppages.​
By stabilizing raw material input conditions, it helps maintain uniform process parameters, resulting in more consistent output and fewer quality deviations.​
Size distribution data is integrated with control systems (e.g., DCS/SCADA), allowing automatic adjustments to crushers / screens and material routing changes, enhancing overall plant efficiency.​
See how an accomplished Indian Steel Company transformed the steel production with our Cognitive and Vision AI based technology designed to efficiently handle variations in raw materials and produce steel at low-cost sustainably.
A powerful suite of intelligent agents working in sync to transform manufacturing with speed, precision, and autonomy.
