This paper presents a non-volatile rippled-assisted optoelectronic array (RAO) for all-day motion detection and recognition. The RAO array, consisting of 18 × 18 pixels, integrates broadband spectrum image capture, image memory, and image processing functions. It exhibits uniform memory window and optically stimulated non-volatile positive and negative photoconductance. The array achieves an extensive optical storage dynamic range exceeding 10⁶ and high room-temperature mobility up to 406.7 cm² V⁻¹ s⁻¹, four times higher than the 2028 target set by the International Roadmap for Device and Systems. The spectral range of each RAO processor covers visible to near-infrared (405 nm–940 nm), enabling motion detection and recognition in various environments. The RAO array's performance is comparable to that of snakes, which can detect both visible and infrared light, and it demonstrates excellent uniformity in electrical transport and optoelectronic properties. The array's ability to detect motion in both bright and dark environments makes it suitable for applications such as autonomous driving, security monitoring, and intelligent night vision. The study provides a model platform for integrating future intelligent optoelectronic devices and achieving high-level integration for all-day motion detection and recognition.This paper presents a non-volatile rippled-assisted optoelectronic array (RAO) for all-day motion detection and recognition. The RAO array, consisting of 18 × 18 pixels, integrates broadband spectrum image capture, image memory, and image processing functions. It exhibits uniform memory window and optically stimulated non-volatile positive and negative photoconductance. The array achieves an extensive optical storage dynamic range exceeding 10⁶ and high room-temperature mobility up to 406.7 cm² V⁻¹ s⁻¹, four times higher than the 2028 target set by the International Roadmap for Device and Systems. The spectral range of each RAO processor covers visible to near-infrared (405 nm–940 nm), enabling motion detection and recognition in various environments. The RAO array's performance is comparable to that of snakes, which can detect both visible and infrared light, and it demonstrates excellent uniformity in electrical transport and optoelectronic properties. The array's ability to detect motion in both bright and dark environments makes it suitable for applications such as autonomous driving, security monitoring, and intelligent night vision. The study provides a model platform for integrating future intelligent optoelectronic devices and achieving high-level integration for all-day motion detection and recognition.