Automate your inspection workflow with a scalable AI edge-to-cloud platform

[TechExperts]

Manufacturers depend on AI to improve and automate quality control and management across assembly lines and factories. HPE's Carolyn Cairns and NVIDIA's Piyush Modi explain how the two companies are working together to help transform inspection workflows with AI-based video and image analytics using a scalable AI edge-to-cloud platform.

Artificial intelligence (AI) is enabling manufacturers to improve quality control and management across assembly lines and factories. Advancements in AI, object detection technology, and video analytics make it possible to enhance production by automating quality control processes to achieve faster, more accurate inspections. These capabilities deliver deep and immediate insight when and where it is needed most, to make sure each stage of production is accurate and efficient. By implementing AI-based video analytics, manufacturers in disciplines like automotive, construction, aerospace, and electronics can gain near real-time insights from streams of video and image data, accelerating time to value for high-quality products while reducing waste and rework.

Ensuring the quality of products is critical to succeed in this evolving industry. Modern customers insist on new and differentiated products that meet or exceed their expectations. Along with a wide range of manufactured goods, customers expect more product features and greater functionality, all at a competitive price point. As products grow increasingly connected and complex, manual quality inspection processes are becoming more time-consuming. error-prone and costly.

Deploying AI with video cameras along the assembly line can greatly improve the speed and accuracy of inspection processes. The latest innovations for manufacturing are designed to enable fully automated inspection, quality control, and management right at the edge. With these groundbreaking capabilities, manufacturers can make ongoing adjustments and optimizations to increase first-pass yield while lowering the overall number of defects.

Companies like Mercedes-Benz Group are using AI innovations to advance quality inspection. Mercedes-Benz Group is a German automotive manufacturer with employees and factories worldwide that leverage AI computer vision models to inspect products and reduce waste. By deploying a platform built on HPE ProLiant DL380 Gen10 and NVIDIA GPUs, the company can utilize a combination of cameras and AI to analyze batteries in real time as they roll along the production line. The solution determines if a battery is defective, and if so, immediately routes the product to a separate production line where rework is performed immediately.

AI-based video analytics at the edge can significantly reduce product defects by providing accurate, real-time inspections.  The question is, how do you evolve and scale a successful implementation across multiple lines and multiple factories? The answer lies in an AI-enabled, edge to cloud platform that connects real-time data to multi-clouds with a solution like HPE GreenLake.  If you would like to learn more, register for NVIDIA GTC March 21-24 and attend the virtual session From Pilot to Production: Delivering Enterprise-Grade AI as-a-Service on an Edge-to-Cloud Platform. 

Discover AI solutions for exceptional product quality

HPE and NVIDIA are transforming quality control with AI video and image analytics. Through our long-standing collaboration, we deliver the latest in accelerated computing and computer vision technology to help manufacturers manage production quality in any location. Our goal is to unlock new opportunities in smart manufacturing, enabling companies across all disciplines to overcome the challenges of production and harness key operational insights that will lead to revolutionary products.

HPE and NVIDIA are committed to developing the most accurate automation inspection processes powered by AI. Our joint solutions are expertly integrated to extend quality control and management capabilities across the entire production cycle. We bring these technologies together to create a platform that is purpose-built for a new age of smart manufacturing.

We built the AI platform on HPE systems that are NVIDIA-Certified, enabling GPU-accelerated applications for automating quality assurance procedures. Manufacturers can choose from a robust selection of HPE systems that are engineered for AI and powered by NVIDIA GPUs to unleash greater speed and accuracy throughout production.

To optimize workflows for AI model development, deployment and maintenance for accelerated workflows in manufacturing, customers can leverage the NVIDIA AI Enterprise software suite, an end-to-end, cloud-native suite of AI and data science tools, which runs on NVIDIA-Certified Systems from HPE. NVIDIA AI Enterprise runs on VMware vSphere and includes key enabling technologies and software from NVIDIA for rapid deployment, management and scaling of AI workloads in the modern hybrid cloud on virtual machines and with Kubernetes containers. This includes support for computer vision workloads that enable smarter, safer manufacturing.

Our AI edge to cloud platform for manufacturing quality assurance from HPE and NVIDIA offers a robust combination of solutions for AI video and image analytics. Built on leading HPE systems that are NVIDIA-Certified, these technologies deliver unmatched performance at any scale, enabling GPU-accelerated applications to streamline inspection workflows. The NVIDIA Metropolis platform is an application framework, set of developer tools and partner ecosystem that  bring visual data and AI together to improve operational efficiency in factories. The software stack offers pre-trained AI models, optimization tools, and libraries that work to simplify the use of AI-enabled video analytics applications, enhancing industrial inspection and increasing productivity across operating environments.

Manufacturers that invest in video analytics and object detection technology are seeing dramatic improvements in production quality and performance.  

Together, we are preparing manufacturers to modernize their production environment through the power of AI. Let us help you improve and automate your quality control.

Learn more about HPE and NVIDIA’s solutions to automate your quality inspection processes. Contact us today to get started.

Join us at GTC

HPE is a Diamond sponsor at NVIDIA GTC, March 21-24. Register today to hear the latest news and learn how breakthrough AI discoveries can solve the world's biggest challenges while transforming your business.  

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Meet our Insights Experts bloggers

Carolyn Cairns is responsible for developing marketing strategy, content, and priority solutions for the Manufacturing and industrial sectors at HPE. Her diverse business experience includes business development, product management and marketing roles in the telecommunications, public sector and IT technology and services industries. She has supported numerous pursuits and accounts within the food & beverage, oil & gas, and industrial sectors. She holds an Honours BA from the University of Toronto.

Piyush Modi is responsible for global business development and strategy for the industrial sector at NVIDIA. He is actively engaged with major industrial customers to advance repeatable and deployment-ready industrial AI technology and solutions. Previously, over 20+ years, he held CTO, senior VP and head of research lab positions at companies including Sentient, GE Global Research, BT, Ribbit, IP Unity, and AT&T Bell Labs. Piyush holds a PhD in electrical and computer engineering (speech recognition) from Rutgers, an M.S. in computer science from the University of Tennessee, and a B.Tech. in electrical engineering from IIT, Varanasi.

Insights Experts
Hewlett Packard Enterprise

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