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.
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.
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.
In the world of cost-competitive steel market, our client managed to improve fuel rate and throughput by real time Nut Coke tracking, resulting in sustainable steel production.
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 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.
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.
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.
In the world of cost-competitive steel market, our client managed to improve fuel rate and throughput by real time Nut Coke tracking, resulting in sustainable steel production.
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 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.
A leading steel manufacturer with large-scale operations across multiple production sites faced recurring issues in its switchyard. Temperature-related faults and delayed detection of hotspots frequently led to equipment damage, power disruptions, and unplanned downtime, impacting production efficiency and safety.
Overheating of switchyard components such as CTs, PTs, and circuit breakers leads to equipment failure, power loss, and unplanned switchyard downtime, impacting overall plant reliability and operational efficiency
Undetected hotspots in switchyard equipment escalated into severe overheating, causing insulation damage, equipment failure, and costly downtime, highlighting the need for real-time thermal monitoring for reliability & safety.
Traditional monitoring systems relied on manual inspections and fluke guns to track temperature, but the process was prone to human error, delayed detection, and missed early signs of equipment overheating.
Critical issues in switchyard equipment were often missed due to limited visibility and delayed manual checks, resulting in undetected faults, overheating, and unexpected equipment breakdowns.
Using infrared and optical cameras, the system identified early-stage wear, deformation, and hotspots in switchyards with 95% detection accuracy, providing automated insights for predictive maintenance. With <100 ms inferencing time, the platform ensured highly reliable monitoring, further enhanced by continuous model retraining for improved accuracy over time.
10M$
Expected annual value generation
Over $10 million in annual value generation was achieved by transitioning from manual inspection and verbal reporting to an AI-powered real-time hotspot monitoring system, significantly enhancing accuracy, responsiveness, and overall operational efficiency.
70%
Reduction in temperature related failures
Achieved a 70% reduction in temperature-related failures through real-time monitoring of switchgear assets and instant hotspot alerts, enabling timely action against overheating and preventing costly breakdowns.
95%
Accuracy in hotspot detection
The AI-powered system delivered 95% accuracy in hotspot detection, precisely identifying temperature anomalies across switchyard components. This high accuracy minimized false alarms, ensured reliable monitoring, and enabled maintenance teams to act swiftly on genuine issues.
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
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