Automate Visual Inspections

Industry 4.0 is here.

Vision AI enables quality inspections that are faster, cheaper and more accurate than ever before, providing greater flexibility in the manufacturing process.

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Industrial AI Surface Texture Classification
build

Build

Create automated visual inspections with very little data in less than 30 minutes

deploy

Deploy

Quickly integrate the neural network with your lines, production system, and camera of your choice

analyze

Analyze

Improve performance over time as additional data is captured and defects detected

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How Neurala supports industrial use cases

Computer or machine vision has helped manufacturers improve quality for decades. But the technology has limitations when dealing with variability in the production process, supply chain, or lighting. Vision AI complements computer vision by increasing the speed of inspections, reducing deviations from line to line, and increasing the percentage of product that can be inspected efficiently.
Enhanced Inspection Beyond Traditional Product Inspection
Metal Industries Defective Product Images Library

Enhanced inspection beyond traditional computer vision

Neurala’s vision AI software uses patented technology to automate subjective QA assessments. Whether your concern is defect detection, product quality classification, assembly verification, or texture/surface classification, we allow you to quickly and easily update your system to reflect current concerns. 

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Why does AI fail for most industrial applications?

Data. For most industrial processes, sourcing images of good product is easy, but accessing a large volume of defective product images presents a challenge. On top of data concerns, lack of AI expertise and expensive hardware requirements place AI out of reach for many manufacturers. Neurala changes all of this.

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Industrial AI Metal Industries Workspace

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

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