Summer Pepper Harvest: TAIHO AI Tech Showcases Intelligent Sorting Solutions in Chongqing
Release Date：2026-09-12 Source： Number of views：29
May 25 — TAIHO Intelligent hosted its new product tasting and exchange conference in Chongqing, unveiling a full-process intelligent sorting solution for the summer Chinese prickly ash harvest. The event targeted key industry needs — efficient sorting, consistent quality control, and output & quality improvement — to support standardized, high-quality development across pepper-producing regions.
At the heart of the showcase was TAIHO AI Sorting Tech for prickly ash: the Observation Ultra Deep Learning Color Sorter, AI Deep Learning Color Sorter, and AI X-ray Sorting Machine. Together, they deliver end-to-end coverage of color grading, shape screening, and internal foreign-body detection — an all-in-one answer to prickly ash sorting challenges.
- Observation Ultra Deep Learning Color Sorter achieves sorting purity close to 100% with AI-driven quality control, adapting flexibly to refined sorting of prickly ash of varying quality.
- AI Deep Learning Color Sorter uses a flexible belt-feeding structure to protect shape and aroma while minimizing material damage. Ultra-fast AI modeling in 1–2 hours allows quick adaptation to diverse pepper varieties and rapid product changeovers.
- AI X-ray Sorting Machine leverages high-definition full-area scanning to detect internal defects beyond conventional color sorting — removing stones, hard stalks, and crusts while filling the gap in identifying internal foreign matter and hidden mildew, safeguarding food safety.
From appearance screening to internal inspection, TAIHO Intelligent applies full-process AI vision technology to continuously enhance sorting precision. Looking ahead, the company will deepen its presence in intelligent agricultural sorting, empowering quality upgrades in specialty agriculture and bringing premium Chinese prickly ash to broader global markets.
May 25 — TAIHO Intelligent hosted its new product tasting and exchange conference in Chongqing, unveiling a full-process intelligent sorting solution for the summer Chinese prickly ash harvest. The event targeted key industry needs — efficient sorting, consistent quality control, and output & quality improvement — to support standardized, high-quality development across pepper-producing regions.
At the heart of the showcase was TAIHO AI Sorting Tech for prickly ash: the Observation Ultra Deep Learning Color Sorter, AI Deep Learning Color Sorter, and AI X-ray Sorting Machine. Together, they deliver end-to-end coverage of color grading, shape screening, and internal foreign-body detection — an all-in-one answer to prickly ash sorting challenges.
- Observation Ultra Deep Learning Color Sorter achieves sorting purity close to 100% with AI-driven quality control, adapting flexibly to refined sorting of prickly ash of varying quality.
- AI Deep Learning Color Sorter uses a flexible belt-feeding structure to protect shape and aroma while minimizing material damage. Ultra-fast AI modeling in 1–2 hours allows quick adaptation to diverse pepper varieties and rapid product changeovers.
- AI X-ray Sorting Machine leverages high-definition full-area scanning to detect internal defects beyond conventional color sorting — removing stones, hard stalks, and crusts while filling the gap in identifying internal foreign matter and hidden mildew, safeguarding food safety.
From appearance screening to internal inspection, TAIHO Intelligent applies full-process AI vision technology to continuously enhance sorting precision. Looking ahead, the company will deepen its presence in intelligent agricultural sorting, empowering quality upgrades in specialty agriculture and bringing premium Chinese prickly ash to broader global markets.
