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The Oversized Aggregate Particle Recognition Algorithm is powered by AI vision technology. It performs real-time detection of aggregate sizes on conveyor belts, identifying out-of-spec particles and analyzing distribution trends. The system enables data-driven control and optimization of aggregate grading, ensuring consistent quality and efficient production.
Cement Plant
Monitors aggregate size for cement production, ensuring compliance with standards and avoiding quality issues due to oversize particles
Mining Operations
Detects oversized particles during ore processing to improve downstream efficiency and product qualit
Architectural Engineering
Real time detection of aggregate particle size on the construction site, discovering particles that exceed the standard, ensuring that building materials meet engineering requirements, and reducing quality hazards
Sand and gravel factory
Detects oversize particles in sand production to meet quality specs and enhance market competitiveness