Neurala Announces VIA Software For Quality Inspection in Manufacturing
Vision AI enables manufacturers to improve throughput, quality and production speed with finite resources
Today, vision AI software company Neurala announced its VIA (Vision Inspection Automation) software: an integrated solution to help manufacturers ensure quality inspection on the production line while scaling to meet product demands.
“Historically, AI has been too expensive or complex to deploy at scale in a manufacturing environment. As the world approaches a new normal, manufacturers are facing irregular patterns in consumer demands, and heightened pressures on machine utilization, production efficiencies and quality control – and they need to address all of this with fewer people on the factory floor,” says Neurala co-founder and CEO Max Versace. “Vision AI will be key in enabling manufacturers to answer the call of demand, increasing productivity and maintaining their competitive advantage as requirements continue to shift. We’re proud to launch Neurala VIA to give customers the option to finally deploy vision AI without requiring massive amounts of data, expensive hardware or specialized AI expertise.”
Neurala’s VIA software enables manufacturers who have not worked with AI before to train and use vision AI to identify defects in products or packaging on the production line. And, with the ability to run directly on existing hardware on the factory floor, VIA makes AI accessible to industrial automation users who prefer not to rely on internet access or connectivity to the cloud. As a result, manufacturers can keep their data on the factory site, without concerns about privacy or lag time that are typically associated with cloud deployments.
- ROI: With less data required and faster training, VIA automates quality inspection processes that were previously not viable – improving inspection rates, decreasing human intervention, and allowing smaller batches to be inspected.
- Optimization: Allows production facilities to avoid wasted resources by catching defects early.
- Flexibility: Ability to train and run multiple AI models, compatible with any GigE camera and mid-range industrial PC.
- Anomaly Recognition: Identifies any product that deviates from the “acceptable” images without having to collect images of defective parts.
“In today’s climate, there is a clear need for an integrated solution that allows manufacturers to quickly adapt to changing markets within the constraints of their environment,” Versace continued. “VIA will meet that need, while giving manufacturers a flexible solution that will allow them to continuously adapt – whether that’s introducing new products into production, or adapting to irregular patterns in consumer demand that will arise in the new normal.”