This project addresses the challenges of vectorising the old seismograms which revitalise the existing archives by R2V algorithms using ML methods. Challenge of big data in seismic studies: massif volumes of historical seismograms from ROB exist and present a source of information. Archive old data must be processed, digitised and ‘revitalised’. In this view, this research contributes to these goals by presenting the developed automated ML methods of vectorising seismograms with minimised human interaction and maximised programming approach in trace vectorisation.