Infographic An Inside Look at Computer Vision for Manufacturing
By Insight Editor / 9 Apr 2021 / Topics: Analytics Digital transformation Data and AI
From supporting safety and efficiency to improving product quality, real-time visibility is essential to continuous improvement in production and manufacturing. See how computer vision is helping modern organizations leverage Artificial Intelligence (AI) to drive more impactful decision-making, optimize operations and gain a competitive advantage.
Accessibility note: The infographic is transcribed below the graphic.
What if out of sight didn’t mean out of mind? Discover what’s possible with computer vision for manufacturing.
An Inside Look at Computer Vision for Manufacturing
Continuous improvement in production and manufacturing depends on visibility.
In an industry where quality, safety and efficiency are crucial, leaders and employees need access to meaningful, real-time information to better understand their operations and drive more impactful decision-making.
20% of every dollar spent in U.S. manufacturing is wasted due to inefficiencies — totaling more than $8 trillion per year.
84% of manufacturers rate improving product quality as important or critical to growth.
70% of companies lack complete awareness of when equipment assets are due for maintenance or upgrade.
82% of companies have experienced unplanned downtime in the past 3 years.
Every year, workplace injuries cost U.S. companies $62 billion. 90% of workplace injuries are caused by human error.
[Factory/warehouse diagram]
“The warehouse door is open.”
“An employee is missing required safety equipment.”
“A product defect has been detected.”
“Equipment maintenance is required.”
“Product bin #458 needs to be restocked.”
“A product has been mislabeled.” [show on palates/in warehouse]
Complete visibility across your operation
Monitor production and warehouse conditions to ensure safety and compliance.
Automate routine inspections to improve product quality.
Use predictive maintenance to reduce unexpected downtime.
Minimize waste by identifying anomalies and defects quickly.
Optimize cycle counts to streamline operations and eliminate human error.
Free your workforce to focus on more valuable and rewarding work.
AI-enabled quality inspection can increase productivity by up to 50% and defect detection rates by up to 90%.
Intelligence at the edge — and at your fingertips
- Images and live video are collected from cameras.
- Data is processed at the edge for reduced latency and faster response — or in the cloud for deeper insights and trend analysis.
- Computer vision models are applied to detect, classify and analyze specific objects in images and video.
- Actionable business insights are delivered through mobile applications or other real-time alerts.
With computer vision, modern manufacturers are optimizing operations, unlocking value and gaining a competitive advantage in their industry.
What can greater visibility do for you?
Sources
Liberty Mutual Group. (2018). Liberty Mutual Workplace Safety Index.
McKinsey & Company. (2017, April 21). Smartening up With Artificial Intelligence (AI) — What’s in It for Germany and Its Industrial Sector?
National Safety Council. (2018). Industry Incidence and Rates: Industry Profiles.
Schedletsky, A. (2019, Oct. 18). Manufacturing Wastes 10% of the GWP Every Year. Here’s Why. Forbes.
Tooling U-SME. (2014). Manufacturing Insights Report: Winning Practices of World-Class Companies.
Vanson Bourne Research. (2017). After the Fall: Cost, Causes and Consequences of Unplanned Downtime. ServiceMax.
