Equiped with deep learning technology, XVR rice sorter is designed for sorting impurities, broken rices and intermixing sorting scenarios.

XVR adopts light and intensive R&D and design concepts to create the industry's first deep learning rice sorting machine. Its original dual-core dual-engine software and hardware architecture design adopts deep learning algorithms, fusion modeling technology, centroid 3.0 technology and uniform material distribution technology, customized design for application scenarios such as super-large capacity and complex sorting.

Dual-core & Dual-engine: Realize multi-dimensional and multi-characteristic learning such as color, shape, texture, area, weight, soft and hard, etc., continuously perceive, improve, and data iteration, and the new upgrade experience is all in XVR.

Fusion Modeling Technology: Based on professional, multi-level and multi-featured data processing accumulation, the "KUNPENG model" is used to achieve complex classification of image recognition tasks. The XVR data cloud system is used to model the massive amount of data, and the open-source powerful data chain is used to optimize the performance of the device, making complex sorting easy.

Self-learning Technology: XVR pioneered the KP sample intelligent collection self-learning system, which intelligently expands and rejects sample data through biological sample characteristic marks, morphological marks, association, non-association feature marks, etc., continuously optimizes the sorting effect, and brings a minimalist control experience.

Deep Learning Technology: XVR chip and XVR work together, dual-core + dual intelligent engine, the operation efficiency is geometrically improved, higher speed, more efficient and smarter, to meet the user's requirements for different material characteristics, impurities, and quality standards changes, XVR Dedicate a shocking sorting experience to the forward-looking.

Lightweight&Intensive Design: The design of 96 spray holes per chute increases capacity by 30-50%. Large capacity, small footprint and easy installation for a truly small model.