Method for automatically reconstituting the architecture, along a reinforcing axis (X, Y), of the reinforcement of a composite material, the reinforcement comprising a plurality of reinforcing threads arranged along the reinforcing axis (X, Y), the method comprising a step: - Acquiring a plurality of images of the reinforcement of the composite material, each image being acquired along a section plane parallel and not confounded with the section planes of the other images acquired, each image acquired being associated with a position on the reinforcing axis (X, Y) perpendicular to the section planes ; The method being characterised in that it comprises the following steps: - For each image acquired, detecting , using a first artificial neural network trained with a first training database, the barycentre of each section of reinforcing thread present in the acquired image and/or detecting , using a second artificial neural network trained with a second training database, the circumference of the section of each reinforcing thread present in the acquired image ; - For at least one acquired image, referred to as acquired reference image , chosen from the acquired images , assigning a tag corresponding to a reinforcing thread to each detected barycentre or to each detected circumference in the acquired reference image ; - For each image acquired that was not chosen as an acquired reference image , assigning , to each detected barycentre and/or to each detected circumference in the acquired image , the tag of the corresponding barycentre or of the corresponding circumference in the acquired reference image ; - Reconstituting the architecture of each reinforcing thread arranged along the reinforcing axis (X, Y) from each detected barycentre and/or from each detected circumference having the tag of the reinforcing thread and the position on the reinforcing axis (X, Y) associated with the acquired image on which the barycentre has been detected and/or the circumference has been detected. - Acquiring a plurality of images of the reinforcement of the composite material, each image being acquired along a section plane parallel and not confounded with the section planes of the other images acquired, each image acquired being associated with a position on the reinforcing axis (X, Y) perpendicular to the section planes ; - For each image acquired, detecting , using a first artificial neural network trained with a first training database, the barycentre of each section of reinforcing thread present in the acquired image and/or detecting , using a second artificial neural network trained with a second training database, the circumference of the section of each reinforcing thread present in the acquired image ; - For at least one acquired image, referred to as acquired reference image , chosen from the acquired images , assigning a tag corresponding to a reinforcing thread to each detected barycentre or to each detected circumference in the acquired reference image ; - For each image acquired that was not chosen as an acquired reference image , assigning , to each detected barycentre and/or to each detected circumference in the acquired image , the tag of the corresponding barycentre or of the corresponding circumference in the acquired reference image ; - Reconstituting the architecture of each reinforcing thread arranged along the reinforcing axis (X, Y) from each detected barycentre and/or from each detected circumference having the tag of the reinforcing thread and the position on the reinforcing axis (X, Y) associated with the acquired image on which the barycentre has been detected and/or the circumference has been detected. <EOS>