To maintain brand reputation, satisfy customers, and manage costs, industrial organizations must increasingly focus on quality. AWS and our extensive network of partners can help you customize and automate quality inspection with fast, fully scalable computer vision solutions to improve accuracy, reduce cost, and maintain the quality bar that your customers expect.
Featured AWS solutions
Improve product quality and decrease costs from manufacturing defects, by processing CV models at the edge. Get immediate notifications of any anomalies in production so you can take quick corrective action.
Capture all IoT data, such as temperature, vibration, and error codes, and then leverage machine learning to predict product anomalies from across multiple process variables.
Easily implement computer vision-based inspection in industrial processes, at scale. Process onsite camera feeds in real time, generating highly accurate predictions within milliseconds, and acting locally on your data in locations even where network connectivity is intermittent.
Use computer vision to more quickly, more easily, and more accurately identify defects and anomalies like dents, cracks and scratches, compared to manual inspection.
Turn onsite cameras into powerful edge devices to enable real-time accurate predictions with machine learning at the edge. By processing CV models at the edge, you can take advantage of low latency to take immediate actions and flag quality problems within a fraction of a second.
AWS and Deloitte empower customers to transform their business, innovate faster, and grow ahead of the curve by combining AWS’ industry-leading cloud technologies with Deloitte’s deep industry experience, established customer relationships, and position as advisor to the C-suite.
Smart Factory Fabric is a pre-configured suite of cloud-based Internet of Things (IoT) applications designed to accelerate smart factory transformations for companies with manufacturing operations. The Smart Factory Fabric suite of services helps companies improve their operational performance and reduce costs by increasing visibility, optimizing production, improving quality, and minimizing unplanned downtime associated with running a smart factory.
Hitachi Vantara, the digital infrastructure and solutions subsidiary of Hitachi, Ltd., delivers service-level-driven outcomes for demanding applications on AWS cloud from edge to data center to cloud with our comprehensive, enterprise-grade, AWS cloud validated capabilities. Hitachi's Lumada solutions detect, collect and organize data, then run sophisticated data analytics for customers in manufacturing, transportation and energy that manage industrial operations such as plant floors, power networks, train systems and mining sites.
Klika Tech co-creates hardware, software and embedded products to deliver best-in-class IoT solutions. The multi-domain IoT product development team helps global companies and technology providers see the full benefit of IoT initiatives, including substantial ROI. For industrial verticals, IoT solutions include embedded development, sensor-2-cloud platforms, data collection, management and visualization.
TensorIoT was founded on the instinct that the majority of 'compute' is moving to the edge and all 'things' are becoming smarter. The company is creating solutions to simplify the way enterprises incorporate Intelligent Edge Computing devices and their data into their day-to day-operations.
“Valmet is building industry leading industrial internet solutions for pulp, paper and energy customers, and we are using the AWS cloud environment as part of our platform.”
- Juha-Pekka Helminen, Director, Valmet Digital Ecosystem
Concrete Sensors' IoT sensor-based platform is used by 30 of the top 100 U.S. contractors for predictive analysis based on the most accurate data about the strength, temperature and relative humidity of poured concrete. This has helped users complete projects faster, with improved costs and overall improved quality.
“We’ve given construction professionals end-to-end Cloud-powered tools that replace job-site estimations with IoT-powered scientific data. Whether making critical decisions on-site or from a remote office, the real-time data provides analysis to transform the way the industry works with concrete.”
- Brendan Dowdall, Co-Founder and CEO of Concrete Sensors