Learn all about how to use implement enterprise-grade safety systems for large-scale factories using computer vision and machine learning with this workshop - now available without registering.
Last December we hosted a workshop in conjunction with Edge Impulse, Advantech and NVIDIA that focused on implementing artificial intelligence and machine learning in manufacturing using a Jetson Nano. Automated smart factories are using AI and ML to analyze data, run systems, and improve processes over time. In manufacturing, computer vision on the edge is an increasingly popular IoT application used in safety and quality assurance applications.
Apply ML models on factory floor cameras and run calculations and return output for monitoring and troubleshooting of equipment and production environments - ensuring compliance and upholding worker safety.
Use cached video streams for auditing model retraining, recognize defects and anomalies in your manufacturing environment.
Detect personal protective equipment (PPE) and monitor building entrances for personnel security.
Use smart notifications to enable people to intervene at certain steps in the automation, as part of the intelligence captured by the models, creating a continuous cycle of training, testing and validating processes.
Learn how Edge Impulse MLOps can automate ML models for complex decision-making, enabling teams who build, train, evaluate, and deploy the models.
Watch the Video to learn more and see how it went!