Application of artificial intelligence and machine learning in sustainable cement manufacturing

The process of cement manufacturing is intricate, involving significant energy consumption, emissions, and costs. Concerns about the environmental impact of cement production have escalated in recent years, prompting a shift towards more sustainable practices within the industry. In this transition towards sustainability, Artificial Intelligence (AI) and automation are poised to revolutionize cement manufacturing practices.
AI's role in enhancing worksite safety is particularly noteworthy. By leveraging AI and machine learning technologies, the construction industry can mitigate accident risks significantly. AI systems excel at processing vast amounts of data in real-time, allowing for the early identification of safety, quality, and productivity issues. These systems can proactively detect unsafe actions, potential hazards, predict machine breakdowns based on sensor data, and recommend appropriate corrective measures.
Furthermore, the integration of helmet detection API technology offers an additional layer of safety monitoring. By scanning job site photos for safety risks like inadequate protective gear or missing helmets, AI can predict security vulnerabilities, deter unsafe behaviors, and contribute to a safer work environment for construction workers.

Author: A.K. Kanojia

Section: Application of cement

Keywords: artificial intelligence, machine learning, AI, ML, digitalization