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.
Ripik AI's Ladle Activity Tracker enhanced ladle operations in steel plants with comprehensive real-time monitoring, providing insights into ladle movements and automated controls that halt crane operations during safety violations, achieving a 50% reduction in non-compliant ladle lifting.
Our client in the steel industry faced challenges in ensuring safe and efficient ladle handling in their steel plant while maintaining SOP compliance. Their monitoring systems relied heavily on manual operator reports instead of visual evidence, resulting in missed incidents and delayed responses. Outdated equipment further limited continuous monitoring of ladle conditions, increasing the risk of safety hazards, material losses, and operational inefficiencies. They required a solution that provided real-time insights and proactive monitoring to address these issues.
Ladles are often improperly hooked to cranes, increasing the risk of instability
Improper hooking of ladles to cranes in steel plants increases the risk of instability, leading to potential spills, accidents, and material losses. This often results from misalignment or operator error.
Manual tracking of ladle movements and usage leads to errors, delays & under utilization
Manual tracking of ladle movements and usage often results in errors, delays, and inefficient utilization, impacting overall operational efficiency. This lack of real-time visibility makes it challenging to track ladle conditions, maintenance needs, and optimal usage patterns.
Manual metal level tracking in ladles increases the risk of spills
Manual tracking of metal levels in ladles increases the risk of spills, leading to safety hazards, material losses, and operational disruptions.
Poor ladle refractory condition monitoring causes premature wear and costly downtime
Poor ladle refractory condition monitoring causes premature wear and costly downtime
Our ladle management system enhanced operational efficiency by providing continuous, real-time monitoring. It ensured precise tracking of ladle movements, detected unsafe hooking instantly and minimized errors. Integrating with existing HMI and PLC/DCS systems, enabled faster identification of process bottlenecks. This proactive approach improved safety, reduced delays, and optimized production workflows.
250+
Non-compliant lifting prevented in 3 months
Over 250 non-compliant ladle lifting incidents were prevented within the first three months of deployment, significantly improving safety and adherence to operational standards.
50%
Reduction in non-compliant ladle lifting
The solution resulted in a 4.5kT volume improvement, enhancing material efficiency and boosting overall production capacity by optimizing raw material handling and process control.
See how leading companies across steel, cement, oil & gas, energy, automotive, chemicals, pharmaceuticals, FMCG, and other industries are transforming their operations with Ripik AI’s Vision AI solutions—driving real-time insights, enhanced safety, and intelligent process optimizations across the industrial landscape
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system....
Manual inspections frequently overlooked early signs of refractory damage, resulting in unplanned downtime....
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency,...
Achieved an 82% reduction in crusher blockages and a 20% decrease in unwanted stoppages in cement crusher...
The Flare Stack Monitoring System delivered over 90% measurement accuracy, replacing manual judgment...
Ripik AI's Ladle Activity Tracker enhanced ladle operations in steel plants with comprehensive real-time...
Ripik AI's material sizing solution achieved 95% accuracy, significantly enhancing raw material monitoring...
Ripik AI's Volumetric Estimation using LIDAR has transformed stockpile management, achieving over 95%...
In the world of cost-competitive steel market, our client managed to improve fuel rate and throughput...
See how Ripik.AI's real-time asset monitoring solution transformed a leading EPC company's operation...
