Ngoc Linh Ginseng (Panax vietnamensis Ha et Grushv.) is an endemic and highly valuable medicinal plant of Vietnam, noted for the exceptionally high saponin concentrationover 50 rare ginsenosides, including 26 unique compounds [1]. Majonoside-R2 (MR2) constitutes more than 50% of total saponins and is linked to strong antioxidant and anticancer activities [2]. Rising commercial demand has resulted in increasing adulteration, while traditional authentication techniques remain subjective, costly, or unsuitable for large-scale use. This study introduces Deep Herbal Vision (DHV), a computer-vision framework for distinguishing authentic and counterfeit Ngoc Linh ginseng using visual cues associated with saponin rich tissues. A curated NgocLinh-5k dataset of over 5,000 images is used to fine-tune ViT-S/16 and ResNet-50 models enhanced with ArcFace, Focal loss, and regions of interest (ROI) segmentation. The fine-tuned ViT achieves 96.3% accuracy, 95.1% F1-score, and ROC-AUC=0.982, outperforming CNN and classical baselines [3]. Grad-CAM and attention visualizations confirm the model's focus on biologically relevant regions. The proposed framework provides a non-destructive and scalable AI solution for authenticating high value herbal materials and supporting conservation of Vietnam’s Ngoc Linh ginseng.