AI became present in our lives some time ago, influencing the ways we buy online, make complaints, or even work. It is significantly impacting modern industries across various sectors, revolutionising the way businesses operate and providing new opportunities for companies to grow, be more efficient, and be more innovative. How exactly does computer vision influence businesses and change modern industry?
#1 Detecting defects
Artificial intelligence can greatly influence the number of defects that appear at the end of the production line. Manufacturers are greatly aware of how costly the defects may be, and even more so when they are not detected at the production stage.
Thanks to image classification and object detection, AI is able to track defects. The biggest advantage of the solution is the possibility of implementation at any production stage, which may significantly decrease the cost of defect removal. The faulty product may be easily removed after AI flags it as defective.
#2 Quality check and counting
When a manufacturer needs to keep control over the number of items within one container, they appreciate the power of AI image recognition. The software is capable of checking if the container is full and contains the correct number of goods. It provides a great quality check opportunity, controlling the size, colour, and other programmed features.
The solution will help business owners reduce the number of employees responsible only for quality checks, which may decrease the monthly costs of employment.
The solution will also work in the case of businesses producing items that consist of multiple components. With the quality control identifying each of them, the ready-made product is reliable and ready for distribution.
#3 Prediction and prevention
One of the greatest worries of all manufacturers is the possible problem with machinery, which may stop the production for hours, or even weeks. All the factory machinery must be under constant maintenance surveillance, yet when performed by humans, it may sometimes not be predicted.
Predictive maintenance which may be provided by computer vision solutions is based on images taken by camera attached to the robots. The photos are analysed and compared to the model images in the dataset, which allows the detection and identification of any changes and potential problems that may occur. If the potential defects are detected early, then the downtime caused by broken machinery may be avoided.
#4 GTIN code verification
Companies around the world need to follow strict rules about product tracking, showing the whole way it went from the beginning to the end of the production process. Each product has its own GTIN code, and thanks to optical character recognition, it can be matched with the product. AI can make sure they both match.
Productivity may be increased by the possibility of extracting and storing text from images and handwritten notes.
All of the production stages can be influenced by computer vision, allowing for the reduction of the number of employees that need to be employed and the time spent on fixing defects, which may even have grave consequences, informing customers that they need to return faulty products.
Companies save time, energy, and time, which gives artificial intelligence credit for further development in improving the efficiency of businesses.
