GV GrainScan Optical Architecture: Combining Reflected and Transmitted Illumination to Detect Internal Endosperm Fissures

During wet-season harvest or rapid high-temperature drying, paddy kernels experience moisture shock that causes internal stress cracks (fissured kernels). Under standard ambient lighting, the kernels look completely intact and flawless.

However, the moment these grains pass through rubber hullers and whitening friction chambers, mechanical shear force fractures the fissures into small broken pieces. Broken rice spikes from 5% to 15–20%, causing significant financial losses for mill operators.

GV GrainScan integrates a synchronized dual-phase optical lighting module:

• Phase 1 (Reflected Illumination): Coaxial ring LED lighting at 45 degrees captures surface color, gloss, fungal spots, and geometric contours. • Phase 2 (Transmitted Illumination): A polarized backlight flat matrix projects light through the base of the optical tray, illuminating the grain core. Any internal crack creates refractive light scattering, revealing the fissure as a distinct dark shadow line.

Transmitted images are fed into a Sub-surface Light Scattering AI model. The model calculates pixel density gradients across grain cross-sections, classifying single fissures, network fissures, and internal shattering.

The dual-phase scan takes only 1.8 seconds for a 2,000-grain tray, generating an exact Fissured Kernel Rate report.

When high fissure rates are detected early at the intake gate, the system recommends loosening roller clearances, lowering polisher air pressure, and splitting polishing into three gentle passes rather than two aggressive ones.

This reduces in-chamber grain breakage by up to 40%, lifting export head rice recovery by 1.2% to 1.8% of total volume.

The GV GrainScan optical chamber is built with an IP54 dust-resistant anodized aluminum enclosure and automatic white-balance recalibration every 50 scan cycles to ensure uniform data across continuous day-and-night shifts.