Manufacturing

Manufacturing operations face escalating pressures across three critical dimensions: worker safety, product quality, and operational efficiency. Advanced video analytics and IoT solutions provide integrated intelligence to address these interconnected challenges comprehensively.

Health and Safety: Reducing Fatalities and High-Risk Behavior

Manufacturing experiences 391 annual fatalities with machinery causing 120 deaths in 2023 in U.S. AI video analytics monitors PPE compliance in real time, automatically detecting missing safety equipment and dangerous behaviors around hazardous machinery, enabling immediate intervention before accidents occur.

Quality Assurance: Detecting Defects and Labeling Errors

Defects cost manufacturers 15-20% of sales as Cost of Poor Quality. Automated Optical Inspection (AOI) powered by AI detects product defects, component misalignments, labeling errors, broken packaging, and environmental anomalies during production with superior accuracy, preventing faulty products from reaching customers while capturing visible production environment issues like incorrect labels and damaged materials.

Production Efficiency: Real-Time Product Monitoring and Throughput

Real-time monitoring systems increase production efficiency by up to 20% and reduce downtime significantly. AI video analytics automatically counts products, tracks work-in-process inventory, and monitors overall equipment effectiveness (OEE), enabling managers to detect bottlenecks immediately and optimize resource utilization.

Manufacturing operations leveraging AI video analytics and IoT monitoring achieve measurable improvements across safety compliance, defect reduction, and operational throughput, positioning facilities to compete in an increasingly demanding market while protecting workforce.