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.
Achieved 90%+ accuracy, 20% reduction in flare emissions, and improved operational efficiency with Vision AI and multi-IR camera integration.
The client faced significant challenges in accurately monitoring gas flow within their operations. The existing monitoring systems were inadequate, with tar deposition frequently causing equipment malfunctions and compromising measurement accuracy. Optical cameras struggled to reliably monitor flame size due to the flame’s transparency, while thermocouple readings often proved inaccurate in the plant's harsh operating conditions. These issues hindered effective process control and posed risks to both operational efficiency and safety.
Unreliable gas flow readings caused by faulty flow meters
Faulty flow meters caused inaccurate gas flow readings, leading to inconsistent data and compromising process control. This impacted operational efficiency and hindered effective decision-making.
Improper judgement of flare size through camera feed
Unreliable optical camera feeds caused inaccurate flare size assessments, impacting process control. Limited visibility due to flame transparency further compromised monitoring accuracy.
Inaccurate monitoring can pose safety hazards for plant operations
Inefficient gas monitoring hampers operational sustainability and poses safety risks due to inaccurate measurements, potentially endangering plant operations.
Unexpected burner shutdowns remain unmonitored
Unmonitored burner shutdowns can result in increased downtime, posing significant risks to both safety and production efficiency. These incidents may lead to energy wastage, unplanned maintenance challenges, and potential equipment damage.
The Flare Stack Monitoring System delivered over 90% measurement accuracy, replacing manual judgment with data-driven insights. By providing real-time alerts and actionable insights, it empowered faster decision-making. Generating 650+ alerts in one month, it achieved a 5-10% reduction in gas flaring, enhancing efficiency and environmental outcomes.
1000MT+
Expected reduction in GHG emissions annually
Over $300K in expected annual value generation was achieved by transitioning from manual inspection and verbal reporting to automated detection powered by real-time monitoring—enhancing accuracy, speed, and operational efficiency.
20%
Improvement in fuel gas utilization
Over 100 potential foreign object failures were prevented in the first 3 months by shifting from delayed anomaly responses to instant notifications and proactive alerts.
50%
Reduction in time to adjust valve opening
The platform achieved a 50% reduction in time to action by transitioning from human judgment-based decision-making to data-driven insights, enabling faster and more effective responses.
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...
