In the large-scale processing of small red beans, mixed raw materials are a common challenge. To visually verify the sorting performance of the equipment, we simulated the real complex raw material conditions of a factory and conducted an extreme mixed-material test: into premium finished small red beans, we artificially mixed in three types of off-color beans — soybeans, mung beans, and black beans — along with defective small red beans with wormholes. After mixing, the material contained multiple types of impurities with highly hidden defects, fully covering all common impurity issues in small red bean processing. 【Caption: Finished red beans on the left, impurities mixed in on the right】 Core Hardware Upgrade — Solving Sorting Blind Spots at the Root This equipment upgrade specifically addresses the core shortcomings of older machines, with hardware configuration fully maximized to meet the refined sorting needs of small red beans: 1. Camera Upgrade: Standard-Definition Camera Iterated to High-Definition CameraSay goodbye to the blurry images, lost details, and poor low-light recognition of traditional SD systems. The HD camera captures micron-level details on the surface of small red beans — subtle wormholes, surface damage, and color differences are all clearly imaged, providing high-definition data support for precise AI recognition and completely eliminating missed judgments of minor defects. 2. Camera Quantity Upgrade: 2 Cameras per Channel Upgraded to 4 CamerasTraditional dual-camera-per-channel systems have visual blind spots — stacked, sideways-turned mixed beans and wormhole-damaged beans easily escape screening. After the upgrade, each channel features a 3D layout of 4 HD cameras, achieving all-angle, no-blind-spot scanning of materials. No matter the posture or stacking of the material, its state is fully captured, thoroughly eliminating sorting blind spots. 【Caption: Upgraded from 2 to 4 cameras per channel】   AI Intelligent Sorting — Precise Removal of Impurities and Defects Relying on the all-new HD imaging system plus exclusive AI algorithms, the equipment performs fully automatic precision sorting of mixed materials, with clear task division and precise diversion:✅ Premium Retention: High-quality small red beans that are intact, uniform in color, free of impurities and wormholes all pass through normally, maximizing good product yield.✅ Off-Color Beans Fully Removed: Precisely identifies and separates mixed-in soybeans, mung beans, and black beans, ensuring uniform and pure finished product color.✅ Wormhole and Defective Beans Fully Screened Out: For small red bean wormholes and damage that are difficult to see with the naked eye and unrecognizable by traditional equipment, it achieves precise identification and removal, thoroughly improving the finished product grade. 【Caption: Comparison of accept red beans and rejects】   From Standard-Definition Camera to High-Definition Camera, from dual cameras to four-camera panoramic scanning, the comprehensive hardware upgrade frees small red bean sorting from the pain points of "not sorting clean, not screening thoroughly." Fully automated intelligent sorting replaces large amounts of manual picking, with unified and stable sorting standards. It handles complex raw materials with high impurity and high mixing rates, suitable for large, medium, and small grain processing plants for scaled production.   【Caption: Real footage of the AI HD Multi-View Sorter sorting small red beans on site】 🎉 Free incoming material testing is available. Processing plants are welcome to inquire and connect with us.