TAREND / Technology / Tarend AI

Tarend AI

Tarend combines a robust machine structure and specially engineered, gentle-handling components with AI grading power that is continuously progressing toward near-100% performance.

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Collective intelligence

AI-powered sorters are trained on a large, continuously growing global dataset, and consistently outperform traditional rule-based algorithms by learning from real production conditions. Because the data is collected from customers worldwide, every installation benefits from collective intelligence — improvements made in one region can strengthen performance everywhere.

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External quality detection

Highly reliable external quality detection of challenging defects such as stem-end cracks, sunburn, and russeting, helps reduce false rejects and minimizes waste.

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Internal quality detection

We do not only evaluate what is visible on the surface; we also detect what cannot be seen by the naked eye. Through internal quality inspection, we help prevent non-conforming fruit from reaching your target market and protect your brand reputation. Our AI-integrated internal quality system can accurately identify a wide range of internal defects, including browning, watercore, and black heart.

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Interface and dashboard

With an easy-to-use interface, operators can quickly access exactly the information they need. The dashboard presents both real-time and selected time-range insights — such as throughput/capacity, full cup rate, and size distribution per batch — on a single screen with clear graphical charts.

Five measurement axes

Weight

Size

Color

External Quality

Internal Quality

Quality Detection

Which defects do we see?

Our sorters recognise defects one by one and tell them apart. Below there is one external and one internal quality example per produce; open a product for the full defect library.