Cgrain AB applications

Visual grain inspection plays a crucial role in the malting barley industry, ensuring the highest quality grains for brewing and distilling. By automating this process with AI, manufacturers can reduce human error, improve output, and maintain superior quality standards with minimal labor investment.

In the world of grain quality control, precision and consistency are everything. Traditional visual inspection methods rely heavily on human judgment, which can vary from person to person and shift to shift. That’s where AI-powered ocular analysis steps in and shines.

Visual inspection of rice is essential for maintaining quality and efficiency in processing by detecting defects such as heat damage, immature kernels, discoloration, and broken grains, ensuring only high-quality rice reaches consumers. Additionally, it helps identify different rice varieties, optimize milling yield, and prevent contamination, making it a critical step in achieving consistency and meeting industry standards.

Objectivity and consistent analysis creates fair trades between farmers and grain receivers. The benefits from optimizing the usage of grain is also apparent later in the value chain, for example by minimizing waste. 

Cgrain’s advanced AI models use high-resolution imaging and machine learning to evaluate each oat kernel. The system classifies and quantifies a wide range of parameters critical to oat processors.

Our AI-powered visual inspection technology is capable of detecting and classifying impurities such as foreign materials, weed seeds, and other grains. In addition, it provides detailed insights and data for each sample by measuring the width, thickness, length, volume, and color of every individual kernel.