Method for controlling the coating quality of an inner liner (P GI) of a green tyre (P B) cemented at a cementing site, the method being implemented by at least one processor comprising a processing module which applies, to a deployed transition recognition neural network and to a deployed weld recognition neural network, the data representative of the captured images of the inner liner (P GI), characterized in that the method comprises the following steps: - a step of providing a system, of which the processor forms part, to automatically recognize positions of the boundary of a profile of a non-cemented region and to recognize the positioning of a weld of the inner liner (P GI); - a step of capturing images of the inner liner (P GI) of the cemented green tyre (P B) carried out by an apparatus of the system; - a step of analysing the images captured by the apparatus, during which the deployed transition recognition neural network is used to detect, in the field of view of the apparatus, the position of a boundary of a profile of a non-cemented region defined by edges (150A, 150B), and during which the deployed weld recognition neural network is used to detect the weld (S P) of the inner liner (P GI); - a step of training a model for automatic recognition of the positions of the boundaries of the profiles of the non-cemented regions and the positioning of the weld of the inner liner of the cemented green tyres, during which the neural networks take as input the analysed images, and they emerge from an abscissa deviation detected between the weld and each of the edges (150A, 150B); and - a comparison step during which the detected abscissa deviations are used to construct one or more automatic recognition models representing a validation of a coating conformity in the process of applying cement to the target tyre (P B); such that the conformity of the tyre is checked on the basis of a predetermined abscissa deviation between the weld (S P) and each of the edges (150A, 150B), with an offset between each detected abscissa deviation and the predetermined abscissa deviation being denoted by a residual error between the prediction of the position of the boundaries of the profiles of the non-cemented regions and the positioning of the weld, and the automatic recognition model constructed during the training step, such an error indicating a non-conformity in the process of applying cement to the inner liner. - a step of providing a system, of which the processor forms part, to automatically recognize positions of the boundary of a profile of a non-cemented region and to recognize the positioning of a weld of the inner liner (P GI); - a step of capturing images of the inner liner (P GI) of the cemented green tyre (P B) carried out by an apparatus of the system; - a step of analysing the images captured by the apparatus, during which the deployed transition recognition neural network is used to detect, in the field of view of the apparatus, the position of a boundary of a profile of a non-cemented region defined by edges (150A, 150B), and during which the deployed weld recognition neural network is used to detect the weld (S P) of the inner liner (P GI); - a step of training a model for automatic recognition of the positions of the boundaries of the profiles of the non-cemented regions and the positioning of the weld of the inner liner of the cemented green tyres, during which the neural networks take as input the analysed images, and they emerge from an abscissa deviation detected between the weld and each of the edges (150A, 150B); and - a comparison step during which the detected abscissa deviations are used to construct one or more automatic recognition models representing a validation of a coating conformity in the process of applying cement to the target tyre (P B);