Intro: Human eye vs AI Vision of industrial defect detection
Now the highest budget will be man power or man cost in any industry. In traditional manufacture working site, usually you will see there are a large number of people who are doing QC, and put a sticker onto the product for further tracking if defects are found in the product. This QC process will cost very much for the business and somtimes a lot of man resourses are just wasted because of distractions and constrations lose in them.
Traditional way of QC should be removed in some eara where high precision industrial defect detection is needed.
Machine never gets tired, at least we would say, AI vision of industrial defect detection will help filter a lots defects ahead and lower a significant part of man power in QC department. This is what we called the great effect of Tensorvox AI Video analytics. Thanks to YOLOv8 / YOLOv11 from Ultralytics, automation finally finds a way to lower the cost and reduce injuries in QC.
Point 1: High Precision for Tiny Defects
Now with high definition cameras or infrared ray cameras, we are allowed to make high precision detection for tiny defects in your products. No matter your product is made of metal, plastic, or carbon fiber, no matter which colors of the products, our industrial defect detection will tell where the defects is.
Point 2: Super Fast for High Speed Line
If your factory make 100 parts per minute per line, there is zero chance that man can check. But with AI powered industrial defect detection, we can use a high speed camera and raise the detection rate to 300 fps, we can make one check every 50ms without stopping. This very largely increases your yield rate without raising much more man cost.
Point 3: AI as the “High-Speed Filter”
As we have mentioned above, AI powered industrial defect detection will check 100% of the products on thi line. However for some high-end product, double check of man eyes is still needed before the shipment.So in this situation, AI plays as the high-speed filter and will save a lot of repeated work and save huge labor cost immediately. This is called Preliminary Screening.
Point 4: How does industrial defect detection refine on time?
When man QC categorizes the bad products that are not accurate detected by the AI Vison, this data will be sent back to the database. The AI will learn frome the consequences and redefine what a real scratch is. Next week, the AI becomes even more accurate. This is how you build a smart factory that gets better every day.
FAQ of Industrial Defect Detection
Q1: Can we use our existing industrial cameras?
For precise industrial defect detection, we may need high definition cameras, high speed cameras and even professional infared ray cameras.
Q2: Does the AI need many “Bad Photos” to learn?
Yes, when we train the certain algorithm which is the brain of industrial defect detection, we need a lot of samples of both good or bad photos to let it know which is which. As this algorithm runs during the use, we may need more photos to refine it and make it even smarter and help raise the accuracy to like 99.5%.
Q3: Does AI really save my money if I still need human QC?
Industrial defect detection does not say you do not need any human in your factory, it stress the certain port of cutting down labor cost and help eliminate error before it happens on a large scale.
Q4: What is “Preliminary Screening”?
Preliminary Screening is a roughly filter process in QC procedure, and it will help reduce a lot in reapeating labor and improve low effiency in tradition QC.
Q5: Can AI classify the type of defect?
Yes of course. Actually AI will pickup of the defects and classify them and store them in different folders.