Top 5 Machine Vision Considerations: Needs & Feasibility

​​​Set Your Sights on Successful Machine Vision: Needs and Feasibility Considerations​

According to a recent machine vision survey, 50-70% of projects fail to meet expectations due to preventable errors and technical oversights. This guide will give you the insight and knowledge to avoid the pitfalls, communicate effectively with your automation integrator, and ensure your machine vision project delivers results.  

​What you’ll learn: 

• ​Application requirements: how to set clear goals, quantifiable objectives, and determine what tasks need to be automated. 

• ​Environmental conditions: why you should account for factors like vibration, temperature changes, contaminants, and how they can affect your system. 

• ​System scalability: what to look for in a scalable machine vision system and how to adapt to future needs, new products, and inspection points. 

• ​Image formation and processing: how to choose the right type of machine vision system 

• ​Return on investment (ROI) and total cost of ownership (TCO): how to look beyond initial costs and assess long-term value. 

​This guide includes a detailed checklist to guide discussions with your engineering, production, quality, and finance teams. Use it to align stakeholders and confidently determine the needs and feasibility of your machine vision project.  

​Determine your machine vision needs and the feasibility of your project with our guide and checklist.​