Steel manufacturing relies heavily on manual processes to ensure product quality, production efficiency, and worker safety. Traditional defect detection methods often miss minor flaws in steel bars, slowing production and risking lower quality standards. Monitoring the production line for continuous equipment performance, worker safety, and inventory accuracy is challenging, while manual inventory tracking proves error-prone and time-consuming. Additionally, enforcing worker safety compliance and optimizing loading/unloading processes remain critical yet difficult to achieve without real-time monitoring.
VisionAI from Clarion automates defect detection, production monitoring, inventory management, safety compliance analysis and alarms, predictive maintenance identification/alerts for resolution potential issues before they occur), loading/unloading efficiency control. The software applies real-time video analytics technology to focus on surface quality, equipment monitoring for predictive maintenance of safety hazards and physical inventory transactions.
VisionAI increases defect detection accuracy by 30%, reduces time of inspection completed to get consistent on the site by approximately an hour, reduce equipment downtime during safety inspections atleast by a fourth and benefits throught increased compliance across stakeholders with upto 20% more safe operations. Increases efficiency in inventory management by 15% and saves up to a third of the manual workload. That in general increases his productivity, safety and operational efficiency.