Real results.
Real plants. Real data.
iGromi OS is running in production across plants in Chile. These are not simulations or proofs of concept: they are documented cases with measurable outcomes and client authorization.
99% counting accuracy
Problem
Counting moving fish with high biological variability. Manual counting was slow, costly and imprecise.
Infrastructure
Existing RTSP IP cameras with iGromi OS running at the processing plant edge. No new hardware.
A machine-vision model trained on real operating data learned to count moving fish under partial occlusion.
¹ Internal measurement validated in operation with the customer. Validation methodology is available upon request.
Real-time OEE and traceability
Problem
Measuring production efficiency without adding instrumentation. Existing CCTV cameras were not used for OEE monitoring.
Infrastructure
Existing CCTV network and Siemens PLC connected to iGromi OS through Modbus TCP and RTSP. No additional sensors.
Availability, performance and quality are calculated automatically from PLC signals and existing cameras.
¹ Case documented with customer authorization. Specific production data is protected by confidentiality agreement.
Automated edge → JSON → SAP flow
Problem
Data silos and manual records across the production process. Data was consolidated only at the end of each shift.
Infrastructure
Existing temperature sensors, industrial scales and PLCs. iGromi OS unified every signal into one data flow.
Structured data reaches the ERP in real time without manual intervention, spreadsheets or transcription errors.
¹ Case documented with customer authorization.
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