The present invention relates to a high-precision substrate alignment method and system for semiconductor bonding, utilizing advanced sensory systems, digital twin technology, and machine learning. Unique alignment marks, such as 2D barcodes and varied critical dimension (CD) grids, capture precise positional information of substrates in 3D space. This system optimizes movement trajectories for substrate bonding, significantly improving alignment accuracy and process efficiency.