Why are Manual Inspection Methods Not Effective Nowadays?

Have you been considering manual Defect Detection in Manufacturing so far? Don’t you think it is high time to switch to automation for faster and better-quality products? You are most likely to fall behind in the competition if you keep putting most of your time and resources into manual testing that does not even guarantee accuracy in some cases.  

Manual testing might work in some areas, but it is not preferred every time since it comes with various drawbacks such as:  

Low Accuracy  

Humans are prone to make errors, and manual testing is more likely to make more errors than an automated solution. For example, in the case of glass manufacturing, human eyes might miss dust particles in a hassle, or they miss subtle scratches appearing on the glass surface. As soon as they notice it, there are chances the defective pieces have already found their way ahead. 

Mandatory Human Interactions  

In current times, where social distancing is the topmost priority, we need to avoid human interactions as much as possible. Batch testing (executing a series of tests) is possible. However, in each test case execution, human interaction becomes inevitable. If you switch to a Defect Detection Computer Version, everything gets automatic and needs no/less human interference.  

Demands More Time and Resources 

To cover each application area, you need to perform more Manufacturing Defect Detection tests. Creating test cases and their respective execution eats up a great deal of human effort and time. Checking up on each product, and informing the concerned person to take relevant steps, and taking up the same tests, repeatedly, can be exhausting and time-consuming. 

Impractical Data Collection  

Unnecessary data collection is one of the biggest drawbacks of manual inspections, collecting and comparing substantial amounts of data is impractical without automation. Preparing reports on products and reporting them to the relevant personnel can be time-consuming and prone to errors.  

How does an automated intelligent machine system help?