Spatial computing and augmented reality are advancing rapidly, with the goal of seamlessly blending virtual and physical worlds. However, traditional depth-sensing systems are bulky and energy-intensive, limiting their use in wearable devices. To overcome this, recent research by X. Liu et al. presents a compact binocular metalens-based depth perception system that integrates efficient edge detection through an advanced neural network. This system enables accurate, real-time depth mapping even in complex environments, enhancing potential applications in augmented reality, robotics, and autonomous systems.