In magnetic confinement fusion devices the use of cameras, both visible and infrared, has increased very significantly in the last years. The large amount of data and the difficulty of the analysis tasks (ambiguity, ill posed problems etc), require new solutions. The technology of Cellular Nonlinear Networks CNNs has been successfully applied to various tasks, from the real time hot spot detection to the automatic identification of instabilities. The accuracy obtained is comparable to the one of more traditional serial algorithms but the CCNs guarantee deterministic computational times independently from the image contents. Moreover the latest developments have allowed obtaining these results also in the case of space variant image analysis. The method of the optical flow permits to derive information about the speed of the objects moving in the frames of a single camera. The results of previous applications have been so successful that the approach has been extended to videos in compressed format (MPEG) to reduce the computational time, preserving the accuracy of the results. Since the next generation of devices will emit a lot of SXR radiation, also from the edge, new technologies are being developed to perform imaging over this region of the spectrum for a global view of the entire plasma column.