One day, almost everyone hoped to be in two places at once. Now, with the help of the advances in computer vision at the edge and artificial intelligence (AI), engineers may be able to be anywhere at once. Essentially become a “ubiquitous engineer” and can monitor, analyze and enhance manufacturing processes from anywhere.
Computer vision allows engineers to identify bottlenecks, track time and movement, and evaluate production lines and factories performance. By injecting computer vision into AI, technology can explore a variety of factors, including products, processes, assets, automation, and personnel, and optimize manufacturing operations smartly and efficiently. With these tools, transformative, innovative and ubiquitous engineers can rebuild their business in five core areas.
Five areas of influence for ubiquitous engineers
Real-time problem solving: Empowering AI-driven computer vision, ubiquitous engineers can revolutionize manufacturing efficiency through real-time monitoring and problem solving. By leveraging the ability to monitor remote production lines, engineers can quickly identify and address issues, minimise downtime and increase production throughput. This data-driven approach increases operational efficiency and significantly reduces costs, making it an essential tool for modern manufacturing.
Inefficiency: Umbiotic engineers can identify bottlenecks and refine time motion research for unparalleled manufacturing productivity. By automating data collection, engineers gain valuable insight into every movement on the production line. This deep analysis reveals inefficiencies, enables the development of target solutions that enhance processes, and ultimately drives significant improvements in overall productivity.
Ergonomics Improvements: Computer vision allows ubiquitous engineers to delve into ergonomic analysis to optimize operator well-being and production efficiency. Through comprehensive observation and analysis of ergonomic factors, engineers can identify tasks that contribute to fatigue and musculoskeletal disorders. These insights can lead to targeted workstations changing that will increase operator comfort and promote a safer, productive work environment.
Performance Comparison: Ultimate engineers use computer vision to compare performance metrics from different stations, lines and plants to promote outstanding excellence across the organization. By examining key performance indicators (KPIs), engineers can quickly recognize low-performance areas and devise strategies to optimize processes. Additionally, the technology enables best practice implementation across the organization, increasing efficiency and consistency.
Increased operational efficiency: Using the power of computer vision and AI-driven insights, ubiquitous engineers significantly enhance operational efficiency across the manufacturing environment. Remote diagnostics and troubleshooting features help to promote geographically distributed plant management while minimizing the need for physical presence and saving valuable time and resources. Using AI’s predictive capabilities, inefficiencies can be addressed proactively, giving engineers unprecedented control and adaptability in managing complex manufacturing processes.
Edge AI and the ubiquitous engineer
The above effects are enabled by directly deploying AI to local devices at the edge, rather than relying on centralized cloud servers. By processing data locally, Edge AI reduces latency, enhances real-time monitoring and optimization of manufacturing processes, and enhances efficiency and control. Local data processing also reduces the high data transfer and storage costs associated with the cloud, allowing for flexible and scalable solutions tailored to a particular workstation or area. Additionally, keeping your data offsite will improve security and compliance with data protection regulations.
The benefits are compelling, but deploying computer vision and AI and AI at the edge doesn’t come without the challenges. Dell Technologies leverages the possibilities of Edge AI and computer vision to simplify and protect EDGE while helping to use AI for ubiquitous engineers wherever they need it. For example, Dell NativeEdge streamlines edge operations at scale through centralized management, secure device onboarding, zero-touch deployment, and automated infrastructure and application management. It also features a blueprint to simplify and accelerate orchestration of major independent software vendors (ISVs) and AI applications with pre-configured configurations for manufacturing use cases.
Start your journey from the US to omniscience
Edge’s computer vision and AI revolutionize the role of engineers and can always be virtually everywhere. This transformation is significantly enhancing the industrial sector by enabling engineers to identify inefficiencies, eliminate bottlenecks, and make data-driven decisions with higher speeds and accuracy . As the ubiquitous concept of engineers continues to evolve, companies embracing this approach will remain competitive as their manufacturing processes become smarter and more efficient.
Visit Dell/Edge to learn more about how Dell Technologies can support Computer Vision and Edge AI Journey.
