High‐Fidelity and Low‐Latency Machine Vision via Manipulation of Contact Potential Behaviors at Perovskite Hetero‐Interfaces

Abstract

Abstract Artificial intelligence (AI)‐driven machine vision is reshaping the industrial perception paradigm, highlighting the critical demands of high‐performance vision hardware. Among various emerging vision techniques, perovskite photodetectors have demonstrated exceptional promise but faced a long‐term trade‐off between external quantum efficiency (EQE) and response time, posing a significant challenge for high‐fidelity and low‐latency vision applications. Here, the transport‐limited mechanism is confirmed to fundamentally dominates response time, and high‐bandwidth and high‐sensitivity perovskite photodiodes are demonstrated by manipulating contact potential behaviors through polymer‐polarized passive dipoles. Specifically, the synergistic incorporation of dipole‐rich molecular modifiers with polar functional groups and electronegative atoms effectively rearranges charge distribution, leading to an increased potential difference and homogeneous potential profiles at perovskite hetero‐interfaces. Accordingly, reduced conduction and valence band offsets facilitate carrier transport and suppress non‐radiative recombination. The device simultaneously delivers an impressive bandwidth of 25.7 MHz and a high EQE exceeding 88%, enabling a high‐fidelity and low‐latency imaging of fast rotating motion (≈18 750 rpm) with negligible ghosting. This work provides an effective strategy to approach the transport limit of vision hardware, laying a solid foundation for next‐generation AI scenarios.