SOLUTION IML

IML: Optimization of Production Capacity

IML: Optimization of Production Capacity

A machine vision system that analyzes the morphology of each fish to automatically determine its optimal destination (fillet or whole), optimizing yield without interrupting operations.

Key Indicators

Speed Up to 300 pieces/min
Coverage ≥ 99.9% of parts processed
Decision Fillet / Whole per piece
Integration Waste Sorting Systems + Information Systems

What does it do?

  • IML uses computer vision to analyze the morphology of each fish in order to automatically determine whether it is best suited for filleting or selling whole.
  • This decision is implemented in real time, without interrupting operations, thereby maximizing the use of raw materials based on objective and measurable criteria.
  • The data generated makes it possible to assess the productive and economic impact by type of allocation.

Key Outputs

  • Automatic determination of the production destination and direct online execution.
  • Real-time dashboard and historical reports with traceability of the assigned destination.
  • Adjusting the cut-off point and simulating scenarios from the platform.
Real-time results

IML Platform

A web-based system that enables the management and optimization of production decision-making logic by connecting directly to the on-site sorting system and applying adjustments in real time. From the platform, you can:

  • Adjust the IML cutoff point according to the production strategy.
  • Simulate scenarios to visualize how the volumes of fillets and whole fish change.
  • Monitor the distribution of the index in production in real time.

Dynamic adjustment of criteria in real time

The system allows users to adjust the cut-off point and allocation criteria directly from the platform during operation. The decision to send each fish as a whole fish or as fillets is adjusted on a minute-by-minute basis based on production indicators, market demand, or the characteristics of the batch being processed.

This makes it possible to meet production targets, meet destination requirements, and maximize the yield of each part, without stopping the line or requiring manual intervention.