Edge AI enables optimization of manufacturing processes to reduce cost and optimize yield.
Computer Vision
Automation
Smart Factory
Defect Detection
Combine predictive AI and generative AI for automated operations
Real Time Monitoring
Product Inspection
Efficient Equipment
Machine Uptime
By deploying intelligent solutions to manufacturing environments, companies can increase the efficiency and output of production processes and improve their competitive advantage. Running these applications effectively requires optimized infrastructure.
Supermicro has designed a broad portfolio of edge computing solutions, suitable to be deployed in any remote or industrial location. These compact systems deliver powerful compute and AI capabilities to the edge driving better business results.
Machine Vision is a cornerstone for many intelligent applications that benefit manufacturing environments, ranging from quality assurance to process optimization and waste reduction. By analyzing real-time data, trends can be identified to predict machine failure or changes in demand, enabling action to be taken automatically.
Supermicro Edge AI solutions are able to bring the capabilities of AI accelerators to ruggedized, remote environments such as production halls or warehouses, where they can be integrated into key business processes.
Quality Assurance
Edge inference plays a pivotal role in enhancing quality assurance on the manufacturing floor. By leveraging real-time data processing at the edge, it enables swift identification of defects, reduces production downtime, and ensures consistent product quality, thereby optimizing overall operational efficiency and customer satisfaction.
Predictive Maintenance
Implementing edge AI for predictive maintenance in manufacturing or industrial settings is paramount. Analyzing data at the edge enables proactive identification of equipment failures before they occur, minimizing costly downtime, optimizing maintenance schedules, and ultimately bolstering operational reliability and efficiency.
Process Automation
Edge AI is instrumental in revolutionizing process automation within manufacturing and industrial environments. By enabling real-time data analysis at the edge, it facilitates rapid decision-making, enhances operational agility, streamlines workflows, and ultimately drives efficiency gains, cost savings, and improved product quality.
AI in Manufacturing
Streamlining end-to-end manufacturing challenges
- Workforce Health and Safety
- Automated Quality Inspection
- Mitigation of Skilled Employee Attrition
The manufacturing industry is leveraging predictive AI to address one of its most important and expensive challenges: workplace safety. Companies are using Edge AI hardware to connect data feeds from CCTV, machinery, and operational software to provide real-time predictive analysis of potential hazards.
Another significant application is automated quality inspection. For example, by continuously monitoring an automotive parts production line and feeding data into a predictive AI system, it is possible to provide real-time insights for quality control and significantly reduce the risk of defects.
Product Use Case
SYS-112B-FWT
AI-enabled automated quality inspection on the manufacturing floor is easily delivered using this system which supports a choice of Intel® Xeon® 6 series processors and GPU support.
AS -1115S-FWTRT
AI-enabled automated quality inspection on the manufacturing floor is easily delivered using this system which utilizes an AMD EPYC™ 8004 series processor and GPU support.
SYS-212B-FN4TP
Leverage computer vision and predictive AI to ensure workplace safety using this system which supports a choice of Intel® Xeon® 6 series processors and GPU support.
Supermicro and KaaIoT: AI Computer Vision for Industrial Edge
