Scenario Application - Challenges and Solutions in Nut Material Sorting
Date:2026-03-06 Views:3
During the processing of nut materials (such as peanuts, almonds, cashews, walnuts, pistachios, etc.), traditional manual sorting or ordinary color sorters struggle to achieve high-precision sorting due to their irregular shapes, subtle color differences, and complex surface textures.
Addressing the aforementioned pain points, Keyi Technology has developed an AI visual sorting system based on deep learning. Leveraging the core combination of "high-definition imaging + AI algorithms", it achieves precise identification and sorting of nut materials.
1. The system is equipped with a high-dimensional HDR camera (pro), which completes image distortion correction through professional optical design and algorithm models, resulting in clearer imaging that can restore the true appearance of materials and accurately capture subtle features;
2. Equipped with deep learning AI algorithms, combined with Keyi's self-developed cloud platform, and relying on a massive sample defect recognition model, it can keenly identify extremely subtle color differences and texture anomalies. At the same time, it possesses self-learning capabilities, and the sorting accuracy can be continuously optimized and improved with the use of the equipment.
