Espy Computer Vision System
Ore Properties Detection
Espy Computer Vision System (ECVS)
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AI augmented Image Segmentation
With ECVS's state of the art algorithm the system is able to detect large number of amorphous shapes at an unprecedent rate.
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Unprecedent Speed
The ECVS comprises a specifically designed machine vision camera and an AI edge controller to achive high speed detection required for most real-time applications.
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Seamless Integration
The system is fully customizable and can integrate with any modern control systems. Modern W3 interfaces as well as industrial protocals are available.
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Remote Maintenance
The ECVS has been proven in the mining industry, with a strong focus on low cost maintenance. Hence, remote access, VPN base cloud integration are standard for all our AI edge controllers.
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Scaleable Solution
The ECVS hardware and software are modular and distributed in their design so a system can be easily expanded. The AI edge controllers can be deployed offline and with cloud support.
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Application-centered Design
The ECVS is not a one for all solution but an evolution of range of soft computing projects. Every system is designed and optimised for best performance and for the specific requirements of the application.
Online Realtime Reporting of PSD
Espy combines the power of computer vision and sensor fusion based material characteristic detection with advanced process control schemes.
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Realtme Object Detection
With the combination of specialesed Edge Hardware and mining specific amorphous object detection neural networks, the ECVS can detect hundreds of objects in unconctrolled environment at realtime.
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End-to-End Solution
Every ECVS is purposly designed for the given application and environmental conditions. The system seamlessly integrates with site control systems and high level ERPs.
ECVS Applications
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Particle Size Distribution
With a camera positioned above a feeder or conveyor, real-time detection of the particle size distribution is possible. The system is capable of detecting 100s of individual rocks below a second. The algorithm efficiently filters fines material, it deals with challenging lighting conditions and produces robust and reliable data 24/7.
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Oversize and Surge Detection
In primary sizing circuits, this application has the added benefit of detecting oversize rocks that often contribute to surging. Espy efficiently detects large rocks travelling through its view area. With its accurate tracking algorith, Espy is able to track the location of the oversize material, which then can be used to mitigate the effect of surging.
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Ore Grade Detection
Ore grade can be detected in loader buckets, truck trays, bins or crusher bowls and fed forward to blending and stockpile control realtime. The result is superior product quality control at unprecedented resolution, which conventional sampling systems cannot match.
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ROM bin blockage and Oversize detection
The ECVS can detect ROM bin blockage and oversize material, which can be fed back to the mine for geology modeling and blasting optimisation. Futhermore, it can be used for autonomous rock breaking and crusher circuit optimisation (dynamic closed side setting control).
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Flotation Circuit Optimisation
The ECVS by measuring bubble distribution and dynamics and combining calculates material's probability of collision with bubbles, probability of adhesion to bubbles. Furthermore, collecting PH, reagent concentration, aeration rate, ore characteristics and running a global optimisation, the ECVS achieves unprecedented recovery and ciruit efficiency without human interaction.
Direct-tip Crusher Oversize Management System
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Crusher Bridge Prediction
The Espy Computer Vision System is able to detect dynamic bridge formations using state of the art video analytics, where multiple frames are analysed with sequence models to give the fastest prediction of potential bridge formations.
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Optimal Crusher Feed Control
With high accuracy blocakge detection, the Espy Computer Vision System allows maximum utilisation of crushers without risking catastrophic bogging. The system initiates tipping as soon as no blockage has been confirmed and also with the optimal level of material left in the crusher bowl for minimising wear.
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Dynamic Closed Side Setting Control
The Espy Computer Vision System recognises the granularity of the individual truck tips and dynamically feds forward the information to the CSS control. The control can adapt to any variability in granularity truck by truck basis.
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Conveyor Volume Limit Feed Forward
Combining the granularity with the dynamic CSS control the Espy system can feed forward the volume constraints to the conveying system as the material granularity changes allowing for maximum utilisation of the conveyors and increased throughput.
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Grade Recognition
While material being crushed the Espy Computer Vision System can recognise material grade to feed it back to grade control, geology and stockyard control.
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Bridge Detection
