PiCon is Elea's innovative AI-driven inline quality control and process optimization solution, developed to enhance the performance, consistency, and efficiency of Pulsed Electric Field (PEF) treatment in potato and vegetable processing. By combining advanced artificial intelligence with acoustic and vibration signal analysis, PiCon enables real-time monitoring of treatment effectiveness, helping processors achieve superior product quality while reducing waste and operational costs.
As PEF technology becomes an industry standard for improving cutting performance, texture, and yield in food processing, maintaining consistent treatment efficacy across production lines remains a critical challenge. Traditional quality assessment methods often rely on manual sampling and periodic inspections, limiting the ability to make immediate process corrections. PiCon addresses this gap by providing continuous, predictive process control directly within the production environment.
How PiCon Works
The PiCon system captures acoustic and vibration signals during the cutting process of PEF-treated produce. These signals are then analysed using advanced AI algorithms to detect treatment inconsistencies instantly. This real-time monitoring allows for immediate process adjustments, improving efficiency, reducing waste, and ensuring product quality throughout the production line.
Key Benefits of PiCon
- Real-Time Quality Monitoring – Immediate detection of inconsistencies in PEF treatment.
- AI-Powered Process Optimisation – Intelligent data analysis for predictive control.
- Resource Efficiency – Reduced need for manual sampling and intervention.
- Enhanced Product Quality – Consistent treatment results in higher yield and improved texture.
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Elea's PiCon project - AI based in-line process optimization tool for PEF in potato industry
