MANUFACTURING & PROCESSING

AI-powered fish sorting, accurate to the individual specimen

Computer vision models custom-trained for each species and size, recognizing and sorting directly on the production line.

Challenges

Manual Fish Sorting

  • 15% - 20% Error Rate

    Sorting results depend on the experience and observation skills of individual staff, easily leading to discrepancies between shifts.

  • Suboptimal Productivity

    Processing speed depends on the number and capability of laborers, making it difficult to meet high or sudden increases in production demand.

  • High Operating Costs

    To maintain stable capacity, the enterprise needs to deploy and manage a large workforce specifically for the sorting stage.

  • Lack of Real-Time Data

    Output and quality are typically recorded only after the sorting process, making it difficult for the enterprise to monitor and adjust operations in a timely manner.

Automation with Paracel

Bringing the Fish Sorting Line to the AI Platform

Applying AI and Computer Vision to automatically recognize, sort, and record data in real time

Powered by AI

Accurate, Consistent Sorting

AI automatically recognizes and sorts based on established criteria, reducing human error and ensuring stable quality throughout the operation process.

Accurate, Consistent Sorting

+150%

Increased Processing Speed

Automating the sorting stage helps maintain high and stable processing speeds, meeting large output requirements without depending on the working pace of individual staff.

-30%

Cost Savings

Reduce manual workload and staffing requirements for the sorting stage, thereby optimizing operating costs and production resources.

100%

Real-time data

The system automatically records production volume, sorting results, and operating metrics in real time, helping management monitor and make quick, data-driven decisions.

How It Works

From Camera to Management System

  1. 01.
    Image Capture

    Industrial cameras installed on conveyor belts or harvesting points, combined with background lighting to separate fish from the surrounding environment, ensuring clean input data for the model.

  2. 02.
    Edge AI Processing

    Computer vision models trained on actual fish species, size, and quality characteristics, running directly on the device without relying on data transmission latency to the central server.

  3. 03.
    Operational Integration

    Sorting results are pushed directly into warehouse, production, or ERP management systems, allowing production volume and quality to be tracked in real time without manual data entry.

Bring your fish sorting line to the Paracel Odoo Ecosystem

Get started with Paracel

What challenges is your enterprise facing?

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