How LandingLens enables collaborative labelling

Andrew Ng:
Today there are a lot of general purpose deep learning tools, some which are very good, which they use from everything to online advertising to finding pictures of cats and dogs. But there is often a gap between these tools and what’s needed in an industrial automation setting. That’s why LandingLens is designed to enable collaborative AI labeling so that your experts can work together to label what are defects. And Landing Lens supports each instance that interfaces directly with your imaging system and also your platform control devices, such as TLCs. And I find that the successful execution of an industrial automation project using deep learning needs all of these systems and subsystems to be executed well, which is why Landing Lens was built to support this entire workflow.