With accurate real-time monitoring of Pusher Car Turnaround Time (TAT) and human geo-fencing, the system delivered a 1–2% productivity increase while improving resource utilization and reducing operational wastage.
The AI-powered Level Monitoring System uses infrared and optical analytics to continuously measure molten metal levels with high precision, delivering real-time visibility, automated alerts, and programmable closed-loop control to stabilize furnace operations.
Reduce Downtime in Steel Plants Predictive Furnace Monitoring to Extend Equipment Life Achieved 95% accuracy in hotspot detection
Achieved a 70% reduction in temperature-related failures with AI-powered monitoring of switchyard assets, ensuring early detection of thermal anomalies and potential equipment faults for enhanced reliability and predictive maintenance.
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.
With accurate real-time monitoring of Pusher Car Turnaround Time (TAT) and human geo-fencing, the system delivered a 1–2% productivity increase while improving resource utilization and reducing operational wastage.
The AI-powered Level Monitoring System uses infrared and optical analytics to continuously measure molten metal levels with high precision, delivering real-time visibility, automated alerts, and programmable closed-loop control to stabilize furnace operations.
Reduce Downtime in Steel Plants Predictive Furnace Monitoring to Extend Equipment Life Achieved 95% accuracy in hotspot detection
Achieved a 70% reduction in temperature-related failures with AI-powered monitoring of switchyard assets, ensuring early detection of thermal anomalies and potential equipment faults for enhanced reliability and predictive maintenance.
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.
Slag is a non-metallic byproduct generated during various stages of steelmaking, such as in the Blast Furnace (BF), Basic Oxygen Furnace (BOF), Electric Arc Furnace (EAF), converter, ladle, and many more. It forms when impurities from raw materials — including silica, alumina, phosphorus, sulfur, and ash — combine with fluxes like lime. This mixture floats on top of the molten steel because of its lower density, creating a separation layer between pure hot metal and impurities.
Ensures cleaner steel and better product quality by preventing slag carryover and reducing defects.
Reduces operational costs by lowering refining needs, alloy corrections, minimizing hot metal losses, and reducing maintenance requirements.
Protects equipment and refractories, reducing corrosion, extending furnace life, and preventing damage from overflows or splashes.
Improves operational stability by avoiding unplanned stoppages and ensuring safer, more consistent tapping operations.
Customers benefit from improved reliability and reduced maintenance needs, ensuring efficient and dependable slag detection solutions.
Ripik AI offers an advanced, AI-driven slag monitoring system that combines real-time slag level detection with programmable closed-loop water-sprinkler control, triggering instant alerts whenever levels exceed safe thresholds or automatically reduce inflow when required. Powered by cutting-edge computer vision, thermal imaging, and machine-learning analytics, it provides highly accurate image- and video-based slag identification even in challenging steel plant environments with smoke, dust, vibration, and fluctuating lighting. The system continuously monitors tapping conditions across EAF, BOF, and AOD operations to prevent unsafe situations, protect equipment, improve yield, and significantly reduce slag carryover.
Engineered with industrial-grade cameras, rugged edge processors, and high-temperature housings to operate reliably in extreme heat, dust, vibration, and low-visibility steel plant environments without performance degradation.
Uses an AI-powered vision system for real-time monitoring of molten flow, detecting slag onset, delivering accurate level views, zoomed monitoring, key parameters, and trend insights to support consistent, precise tapping decisions. The system distinguishes between steel and slag in real time to optimize tapping operations.
Automatically adjusts water-sprinkler activation based on real-time molten level data, stabilizing furnace conditions, preventing unsafe level rise, and ensuring consistent operational safety across critical tapping stages.
Delivers real-time notifications with proactive overflow warnings sent via SMS, email, hooter, WhatsApp, or automated tap-stop triggers when slag levels exceed limits, reducing risks, improving operator response, and enhancing tapping consistency and safety.
Generates detailed event logs, performance metrics, tap quality insights, and slag detection trends, enabling data-driven decision-making, process optimization, and continuous improvement across steelmaking operations.
Stores recorded footage of tapping and slag events for review, training, safety audits, and troubleshooting, helping teams analyze issues, refine procedures, and strengthen operational reliability.
Cleaner Steel Quality:Prevents slag carryover, reducing impurities and improving final product quality.
Higher Yield: Minimizes metal losses trapped in slag and ensures optimal tapping accuracy.
Lower Operational Costs: Cuts down on extra refining, alloy corrections, and reprocessing due to slag contamination.
Enhanced Equipment Life: Reduces refractory and tap-hole damage caused by corrosive slag.
Improved Plant Safety: Avoids overflows, splashes, and unsafe tapping conditions through precise real-time monitoring.
Stable and Consistent Operations: Standardizes tapping practices, minimizes human error, and improves furnace process stability.
Reduced Downtime: Prevents unplanned stoppages and equipment failures linked to poor slag control.
Better Decision-Making: Provides actionable insights, trends, and alerts for continuous improvement and operational optimization
