APEX AI Food-Grade Double Belt Optical Sorter for Pepper Chilli

Features of APEX Belt Optical Sorter

The Model DL+AI double-layer AI intelligent grain sorter integrates the high-throughput characteristic of dual-layer two-stage sorting and the high-accuracy capability of AI visual recognition technology, effectively tackling the long-standing industrial pain points of missed inspection and false detection caused by material stacking & overlapping in conventional double-layer sorting devices.

1.Independent Dual-layer AI Visual Recognition System
The customized optimized AI algorithm carries out independent feature analysis and intelligent judgment for the upper and lower conveying belts respectively. It accurately identifies stacked overlapping grains and ultra-tiny surface defects which cannot be captured and screened out by ordinary traditional double-layer color sorters.

2.Dual Strengths of Mass Throughput & Ultra-fine Sorting Precision
This model inherits the large processing volume advantage of the DL double-layer mechanical structure. Supported by deep learning AI visual technology, the system removes various micro impurities and subtle defective particles in real time during sorting procedures, securing stable and uniform high purity for every batch of finished grain products.

3.Reliable Performance for Long-term Heavy-duty Industrial Operation
The whole machine is structurally reinforced to adapt to prolonged ultra-high-load batch production on large-scale grain processing lines, sustaining stable high-precision sorting without running deviation during long-hour continuous operation. It serves as the premium intelligent sorting solution for large grain manufacturers that demand both massive production capacity and superior finished product purity.

Working Principle of APEX Belt Optical Sorter

Step 1 Uniform feeding & upper-layer primary AI sorting
Mixed grain raw materials fall from the feeding hopper onto the upper conveyor belt via vibrating feeding. The upper group of cameras paired with AI algorithms executes the first round of identification, filtering out large impurities and obvious defective grains, which are blown into the rejected product hopper directly.
Step 2 Lower-layer independent AI fine screening for stacked materials
Preliminarily screened grains naturally drop to the lower conveying channel. The second set of independent AI vision system analyzes overlapping grain particles and ultra-fine blemishes that ordinary optical detection cannot distinguish. Slightly defective grains are ejected into the recycle hopper for secondary re-sorting.
Step 3 Collection of high-purity finished grains
Materials passing dual-layer AI double inspection are stably conveyed out and fall into the accepted product hopper. While retaining the high-output advantage of dual-layer staged sorting, the dual independent AI modules greatly lower the missed detection and false detection rate under large-volume material accumulation.

Parameters of APEX Belt Optical Sorter

Performance Comparison

Sorting Performance for Bulk Fresh & Dried Chili Materials

• Qualified Finished Chili Products: Uniform natural color, complete fruit shape, free of mildew, abnormal discoloration and sundry stem impurities. The dual-layer belt structure supports continuous high-volume feeding for large chili processing factories, and stable low-speed conveying prevents chili pod cracking and breakage.
• Rejected Defective Chili Materials: Moldy chili, faded peel, mottled surfaces, immature green fruits and redundant chili stems will first be intercepted by the upper-layer AI recognition module. Subtle defective particles covered by stacked chili are captured and eliminated by the lower-layer independent AI algorithm, thoroughly fixing the missed detection flaw of traditional double-layer sorting equipment under high feeding volume.

DL+AI combines mass throughput and AI ultra-fine identification, helping chili deep-processing enterprises obtain stable high-purity finished chili products in long-time batch production.

Applicable Sorting Materials

Built on the high-capacity two-stage sorting framework of standard DL model, DL+AI is equipped with separate deep learning AI visual systems for upper and lower conveyor belts, specially optimized for mass raw material processing scenarios with severe material stacking and overlapping.

1. Bulk Grain Products
   Rice, various beans, crop seeds, dried fruits, coffee beans and other granular agricultural products. Dual AI modules identify tiny defects sheltered by piled grains during large-flow feeding, lowering both miss detection and false detection rates in continuous industrial sorting.
2. Fresh & Dried Chili & Seasoning Raw Materials
   Fresh red chili, pickled chili, stemmed dried chili, stemless dried chili and other chili variants. The algorithm screens moldy pods, discolored husks, mottled surfaces, immature green peppers and mixed chili stems even when chili fruits are densely stacked on the belt.
3. Bulk Chinese Medicinal Herbs
   Sliced ginseng, astragalus, poria cocos, coptis root and other sliced & granular medicinal materials. Two-pass AI scanning removes residual mildew fragments, oxidized discoloration and foreign impurities that cannot be fully cleared by conventional double-layer CCD sorting.