How to Choose the Right Vision Inspection System? 

What comes to your mind when you think of a Defect Detection System while manufacturing? Do you visualize a number of employees detecting any defect in the item produced? How reliable do you feel it is? Manual inspections are prone to errors. Despite being an experienced defect detector, a person can misidentify the accuracy of a product.  

Apart from manufacturing, what about your employee’s safety? Do you manually scan and check if they are wearing masks? How do you know they are not taking their safety gadgets off when you are not looking? What if you are out on a break, and your employee gets injured due to a lack of safety regulation compliance? There is a greater risk of such instances when you rely on manual inspection methods.  

Traditional manual inspection methods have followed us for ages. However, in this digital era, it is time to change. A Vision Defect Detection System demands low or no human interference and ensures seamless defect detection. Being driven by Artificial Intelligence, it is capable of recognizing minute details and catching slight defects such as scratches, dents, dust particles, and so on.  

  • It requires no or low human presence leaving more floor space free. 
  • An AI-based machine detects defects like scratches, dents, and dust more accurately than human eyes.  
  • Precise color differentiation is often missed by naked eyes.  
  • Drives faster and more accurate defect detection as compared to manual inspection.  
  • Cut costs, boost production, and ensure a better quality of produce. As soon as there is a mal production, the same is flashed on the monitor associated with the system.  
  • Quickly adaptable to different surfaces and products while being able to work 24/7 and maintaining consistency.  

How to Choose the Right Vision Defect Detection System? 

It is necessary to choose the right technology along with the right partner. There are numerous of them claiming to be the best, but you need to look through each carefully and decide. We have compiled a few factors you need to investigate before making the ultimate decision:  

#1 Visual Defect Detection Should be Reinforced with AI (Artificial Intelligence) 

When Artificial Intelligence is reinforcing a Defect Detection System, the operating principle of deep learning technology teaches machines to learn by example. By enabling a neural network to extract common patterns between those examples into a math equation which eventually helps classify future