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.
Gain real-time, accurate measurements to improve stockpile inventory management, reduce waste, and enhance operational efficiency.
Inaccurate stockpile inventory management leads to issues like incorrect material flow measurement, uneven distribution, conveyor wear, material composition variability, and misaligned belts. These problems cause inefficiencies, higher costs, and safety risks. LiDAR-based volumetric estimation offers real-time data to optimize material handling and improve operational efficiency.
Without accurate measurements, stockpiles risk overstocking or understocking Manual estimation methods are error-prone.
Volumetric estimation done manually by climbing the piles to measure the base and height, resulting in a 15% error due to inconsistencies and unaccounted surface deformations.
Measurement variations lead to inaccurate procurement of materials, affecting supply planning
Lack of stockpile volume measurement makes supply planning unreliable, causing material shortages or excess inventory. This disrupts production, increases costs, and affects overall efficiency.
Material mishandling leads to wasted resources, higher labor costs, & inefficient storage use, increasing operational expenses
Without accurate stockpile volume measurement, material handling becomes inefficient, leading to uneven distribution, increased wastage, and higher operational costs
Climbing onto piles for measurements poses safety risks, with chances of slipping and accidents.
Hazardous materials pose risks of fire, explosion, or toxic dust. Manual monitoring adds to safety concerns and may not meet modern compliance standards.
Enhanced Visualization: IP cameras integrate with LIDAR to provide real-time video feeds, enabling operators to track stockpile changes and verify volumetric data for improved monitoring.
Contextual Analysis: The integration overlays real-time footage with volumetric data, enabling operators to analyze stockpile conditions and material movement for better inventory management.
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Precise Volume Measurement:Â The combination of LiDAR and IP cameras enables real-time, accurate volume estimation of piles in bins. The IP camera segments materials based on color, while the LiDAR creates a detailed 3D map of the material.
Real-Time Volumetric Estimation:Â Using the floor and wall as baselines, the system provides continuous, precise volumetric measurements, allowing accurate stockpile management.
Comprehensive Stockpile Data:Â LIDAR provides precise measurements of stockpile volume, weight, and material density, offering a comprehensive understanding of stockpile composition.
Volume Trend Analysis:Â The system tracks volume changes over time, allowing operators to monitor trends in stockpile size, weight, and density, aiding in better decision-making and inventory management.
Automated Data Collection:Â LIDAR technology automates the measurement process enabling stockpile area monitoring precise volumetric data without manual intervention. This reduces human error and increases efficiency in data collection.
Stockpile Tracking:Â The automated LIDAR system enables quick adjustments in stockpile management and ensures real-time inventory tracking for enhanced efficiency.
Instant Notification of Changes: Real-time alerts are triggered when there are significant changes in stockpile volume, shape, or distribution, allowing operators to quickly detect any discrepancies.
Proactive stockpile inventory management:Â Timely notifications help operators address potential issues swiftly, ensuring efficient stockpile management and maintaining optimal inventory levels..
Access to Historical Data : Video feeds captured alongside LIDAR measurements are stored and can be accessed at any time, providing a historical record of stockpile conditions. This allows operators to review past stockpile data for analysis and comparison.
Detailed Reporting:Â Historical video feeds combined with volumetric data generate reports that track stockpile trends, identify patterns, and support data-driven inventory decisions.
Stockpile inventory management improves efficiency, reduces waste, and controls costs. By optimizing stock levels, businesses prevent overstocking or stockouts, ensuring smooth operations and better decision-making for procurement and production. This leads to cost savings and increased profitability.
Stockpile management enables accurate, real-time volume measurement with minimal manual input.
Eliminating manual measurement, remove risks associated with climbing piles. Reducing the chances of workplace accidents and injuries.
Automated volume estimation saves man-days annually, cutting labor costs and speeding up processes for better planning and material flow.
Real-time tracking of materials ensure precise procurement and usage, reducing stock discrepancies, preventing overstocking or understocking.
A powerful suite of intelligent agents working in sync to transform manufacturing with speed, precision, and autonomy.
