Norsk
BosanskiAnalyzing Industrial Cyclones To Detect Defects
We digitized thirty industrial cyclones for Borregaard using just three cameras and true AI. The system accurately detects early structural defects and valve faults in real-time, significantly outperforming traditional mechanical PLC sensor installations.
The Challenge
Borregaard, a historic biochemical pioneer founded in 1889 with annual revenue approaching seven billion Norwegian kroner, produces sustainable alternatives to oil-based chemicals. Their facility relies on thirty large industrial cyclones and valve assemblies operating under demanding conditions.
Traditional manual inspections proved unreliable, while installing sixty individual physical sensors would create enormous hardware costs, complex wiring architectures, and ongoing maintenance expenses – all directly undermining the profitability of their eco-friendly manufacturing operation.
The Solution
We deployed a true AI computer vision system using just three high-resolution cameras to simultaneously monitor all thirty cyclones and valve handles. By digitizing physical conditions in real-time, our deep learning software tracks valve positions and structural anomalies across varying factory lighting conditions.
Trained on thousands of operational hours, the neural network detects microscopic airflow faults and mechanical irregularities before they escalate into catastrophic equipment failures or costly unplanned refinery stoppages.
Our Implementation Process
Comprehensive Problem Analysis
We evaluate your specific production challenges and imaging requirements to determine the most effective machine vision technical approach and hardware.
Custom Design and Development
Our team engineers tailored optical solutions and software algorithms, creating a robust digital blueprint that ensures seamless performance and accuracy.
Seamless System Integration
We handle the full installation and calibration of hardware on your production line, ensuring the system communicates perfectly with your existing infrastructure.
Dedicated Service and Support
We ensure peak efficiency through proactive maintenance, technical troubleshooting, and continuous updates long after system deployment.
Proven Results
The Results & ROI
Massive Hardware Savings
Three cameras proved dramatically more cost-effective than purchasing, wiring, and maintaining sixty individual hardware sensors across the entire processing facility.
Early Error Detection
The AI vision system identifies microscopic airflow irregularities and structural faults at the earliest stage, preventing costly mechanical breakdowns.
Operator Confidence
Factory personnel now rely on the neural network more than manual observation, as the system has demonstrated consistently superior pattern recognition.
Green Profit Protection
By detecting resource leaks and mechanical inefficiencies early, the system safeguards Borregaard’s revenue stream while actively supporting their eco-friendly mission.
Trusted By Experts
What Our Industrial Partners Say
Ready to Automate Your Excellence?
Let’s discuss how AI Vision can eliminate errors in your production line – and what that means for your output quality, uptime, and bottom line.
