Biomass processing facilities handling large volumes of material can deploy AI-Biomass Analyzer to improve the efficiency, accuracy and the biomass quality assessment. Improving quality and reducing operational costs is essential for sustainability and profitable production. AI-Biomass Analyzer, based on hyperspectral vision and sensors combined with our AI platform, enables continuous real-time monitoring of biomass.

A leading multinational company in the cement sector has implemented AI-Soil Analyzer on its production lines to automatically detect gravel, blocks with out-of-spec sizes, and foreign objects, preventing blockages and unplanned machine downtime. Thanks to computer vision and advanced AI models, the company now has a real-time inspection system that ensures operational continuity, reduces breakdown costs, and optimizes line safety.

A leading aerospace recycling supply company had previously relied entirely on manual quality control, inspecting high volumes of mixed airplane components and parts to prepare them for redistribution. With our product, this workflow is automated: parts are identified, verified, and sorted in real time, ensuring consistent, traceable data, a faster process, reduced costs by minimizing the margin of error before global distribution.

ElgarWorks Consulting has integrated Pixelabs’ Visual AI into its inspection and quality control system to fully automate the inspection of automotive parts, enabling the detection of defects such as cracks, metal burrs, or marks with high precision. The objective is to turn traditional inspection processes into automated, objective, and real-time systems. To achieve this, it acts as a technological partner to industrial plants, helping to detect problems at early stages and implementing solutions that optimize production from within.