Neurala is partnering with FLIR Systems Inc. to create a full software and hardware stack artificial intelligence (AI) industrial imaging solution.
The system unlocks the power of deep learning with no AI expertise required and allows for a cost-effective entry point for users that want to deploy neural networks directly onto digital cameras. FLIR Firefly DL cameras are compact with built-in interference on edge capabilities.
Neurala said the collaboration comes when manufacturers are focused on AI and automation to provide flexibility to cope with production constraints, supply chain disruptions and scattered workforce availability.
The deep learning models can be directly uploaded to a FLIR DL camera using the FLIR Spinnaker SDK and can be deployed to a variety of applications such as printed circuit board (PCB) inspection, detection of foreign objects, identification of surface level metal defects and product uniformity issues. Because the cameras are compact, they can be placed practically anywhere in-line and quickly reconfigured for new applications.
“The rise of Industry 4.0 has challenged manufacturers to rethink the tools and systems they are using as part of their workflow,” said Max Versace, CEO and co-founder of Neurala. “With cameras and sensors gathering product data and analyzing the overall health of industrial equipment, manufacturers have realized the power of AI to draw actionable insights from this data.”
