VG Intelligent Optical Sorter: AI-based Multispectral Recognition Of Fava Beans By Color, Size, Shape, And Texture Defects

The VG Intelligent Optical Sorter employs an AI-driven RGB/MSI smart camera module to achieve multi-dimensional defect recognition of fava beans based on color, size, shape, and texture characteristics. The self-developed deep learning algorithm supports continuous iterative optimization with new samples, steadily improving defect recognition accuracy.

• High-efficiency vibratory feeder – ensures a single-layer, uniform distribution of fava beans, effectively reducing material overlap.
• Industrial-grade dust-proof design – sealed sorting chamber and electrical enclosure, suitable for high-dust production environments.
• Integrated dust control system – mature and reliable, ensuring long-term continuous and stable operation.
• Modular chute configuration – supports 1/4/6/8/10/12 channels, flexibly matching different throughput requirements.

• Self-developed deep learning algorithm – continuously trains and optimizes with new samples, enabling evolving defect recognition capabilities.
• High-resolution RGB color imaging – precisely captures subtle surface defects on fava beans.
• High-brightness LED lighting system – ensures clear imaging and uniform illumination, reducing interference from ambient light.
• Expandable camera options – optional NIR camera or InGaAs‑SWIR camera to meet a wider range of inspection needs.

Industry-leading defect detection for fava beans (based on color, size, shape, and texture):

Supports custom parameter settings for different fava bean varieties, enabling fast product changeovers.

• Optimized design for durability, high-speed response, and air efficiency.
• Maintains precise ejection and stable performance under high-throughput conditions.
• Significantly reduces false rejection rate, lowering material loss and total operating costs.

• Intuitive HMI with multi-language support.
• One‑click switching of product sorting parameters for easy and efficient operation.
• Comprehensive remote support:
  • Remote access & real‑time monitoring
  • Performance data dashboard
  • Online expert diagnostics
  • Interactive fault troubleshooting