This study introduces an augmented reality (AR) system using electromagnetic (EM) stylet tracking to enhance surgical precision and patient safety for external ventricular drainage (EVD). By integrating a tablet PC, 3D camera, and EM tracking system, this study developed a real-time navigation method for catheter insertion. The system employs deep learning facial landmark detection and coordinate registration techniques to align CT, 3D camera, and EM tracking systems. A phantom model experiment was conducted with 20 trials: 20 drainage procedures and 20 accuracy measurements. All 20 drainage attempts were successful. And the Euclidean distance error for the 20 trials of measurement was 1.68 +/- 0.66 mm. The research suggests significant potential for further development of AR technologies in neurosurgical interventions, highlighting the importance of continuous technological innovation in medical precision procedures.