In the last decade the exponential growth of computational power, together with the huge availability of data, eased the spread of artificial intelligence in a variety of applications, one of which is the manufacturing business. The following thesis work will outline an industrial machine prototype that can automatically recognise faulty objects moving on a conveyor belt by means of a camera and an AI-powered image classifier and, whenever a defect is detected, remove such object through a robotic manipulator. The project was entirely developed at Tera Automation S.R.L. which in the last few years is establishing itself as a leading company in the valuable metals manufacturing.