AI 031 · Computer Vision / Camera

Fish Mortality Vision

Analyses camera images or uploaded photos and links counting, measurement and classification results to ERP records. Data sources: Mortality records, Fish stock, Water quality, Camera image analyses.

  • Image analysisModule type
  • 4Data source
  • 15Language

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What was detected in the latest camera images?

Image analysis summary

Camera images and events were assessed together with ERP records. Pixel-level analysis of an uploaded photo requires a vision-capable AI provider (e.g. OpenAI, Claude, Gemini or a local Ollama vision model).

Data summary

  • Mortality records — Mortality records: 10, Total dead: 841 pcs
  • Fish stock — Active batches: 5, Current count: 298,280, Biomass: 82,072 kg, Average weight: 239.1 g
  • Water quality — Measurement: 210, Average temperature: 19.5 °C, Average oxygen: 7.56 mg/L, Lowest oxygen: 4.60 mg/L
  • Camera image analyses — Frames analysed: 5, Average fish count: 66,703 pcs, Dead seen: 46 pcs, Average feeding score: 64.1

Notable findings

  • Oxygen below 5 mg/L — Water quality: 4.600

Recommended actions

  • Oxygen below 5 mg/L: review the Water quality records, clarify the cause with the person responsible and open a task if needed.

This answer was produced by the local analysis engine (statistical analysis, no LLM connected). Connect a provider in AI Settings for richer natural-language answers.

Answers are generated from demo data by the local analysis engine. In your own system you can connect OpenAI, Claude, Gemini or an on-premises model.

Standard ERP modules it processes

  • Mortality records
  • Fish stock
  • Water quality
  • Camera image analyses

Packages that include this module

Other modules in Computer Vision / Camera

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