AI Tobacco Photoelectric Sorter

The AI Tobacco Photoelectric Sorter is an integrated tobacco impurity removal system. It employs a conveying mechanism combining high-speed belt conveyance with air pressure support, utilizing spectral imaging and AI-powered deep learning for impurity identification. This system effectively removes non-tobacco foreign materials, ultimately supplying clean and high-quality tobacco lamina for subsequent processing stages.

Black Background Imaging Technology: Combined with focused lighting and AI algorithms to counteract light source attenuation, ensuring excellent long-term equipment stability. Parameters require maintenance only every 3–6 months.

Advanced AI Image Recognition Technology: Utilizes parallel processing of AI algorithms and color sorting algorithms, significantly improving the detection rate for foreign matter with colors similar to tobacco, leading to a substantial increase in the amount of foreign matter removed.

Powerful AI Computing Capability: Each image processing unit is equipped with an FPGA and a GPU, with GPU computing power reaching up to 200 TOPS, providing robust hardware support for AI model operations.

Warning Function for Specific NTRMs (non-tobacco rejected matters): The system classifies and statistics the images of NTRMs, providing operators with early warnings for these specific types.