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.
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.
Lack of stockpile volume measurement makes supply planning unreliable, causing material shortages or excess inventory. This disrupts production, increases costs, and affects overall efficiency.
Without accurate stockpile volume measurement, material handling becomes inefficient, leading to uneven distribution, increased wastage, and higher operational costs
Undetected oversized rocks disrupt the kiln's material flow, causing inefficient combustion and higher fuel consumption. Big rock detection ensures a consistent flow, optimizing fuel efficiency and reducing costs.
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.
Achieve 15% reduction in conveyor stoppages due to accurate detection and estimation of large rocks.
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.