Neurala | AI In Manufacturing

Add Vision AI to Machine Vision

Manufacturers have used machine vision to manage quality inspection for years. But the technology has limitations when dealing with variability in the types of product defects, or modifications to the production process, or line changes for fluctuations in product demand. Vision AI complements machine vision by increasing the speed of inspections, easily adapting to production line changes, and increasing the percentage of product that can be inspected efficiently and consistently.

Why does AI fail for most industrial applications?

Data. During the manufacturing process, sourcing images of good product is easy, but accessing a large volume of defective product images presents a challenge. They simply don't occur that often. On top of data concerns, the lack of AI expertise and the expensive hardware requirements typically required, often place AI out of reach for many manufacturers. Neurala changes all of this.

Neurala’s at-the-edge learning is critical to a variety of applications, such as finding a lost child in a crowd. We looked at many companies to help us explore different applications of artificial intelligence for public safety, and Neurala had the neural network technology we were looking for.

Paul Steinberg, CTO

Motorola Solutions

Neurala and the NVIDIA Jetson AI platform work together to develop innovative deep learning solutions for inferencing and learning at the edge. This enables a new class of intelligent machines.

Murali Gopalakrishna, Head of Intelligent Devices

NVIDIA

Neurala’s architecture is well-suited to run on the edge. It’s small and lightweight, and we can get the technology as close to the sensors as possible. There’s a feature set that is available now that’s real and tangible. Neurala has an architecture that can evolve as customer needs and requirements change

Charlie Elliot, Director of Product

Aeryon

Neurala's AI vision technology lets us process images faster, reduce our costs, and scale to meet our customer's needs in a way that simply wasn't possible before.

Tim Rowland, CEO

Badger Technologies