We develop computer vision AI models to detect patterns such as emotions and regulatory compliance of personal protective equipment (PPE), with real-time and asynchronous analysis capabilities.
Deep learning models that analyze video and image streams to detect visual patterns in real time.
AI models that identify emotional states and cognitive load, enabling data-driven insights for education and human interaction.
Automated monitoring of personal protective equipment usage to ensure workplace safety and regulatory compliance.
Flexible deployment options for live stream processing or batch asynchronous analysis of recorded footage.
In collaboration with DUOC UC
Led by our CEO, Emoticlass is a pioneering project for real-time emotion analysis in educational settings. By analyzing student emotional responses during classes, the system verifies cognitive load levels and identifies opportunities for educational improvement.
Real-time Analysis
Emotion detection during live classes
Cognitive Load
Measuring student mental engagement
Education Insights
Data to improve teaching effectiveness
Discover how our AI models can transform your processes.
contacto@lemacdatalab.cl