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The demand for ultra‑high‑definition (UHD) visual data in industrial automation, autonomous navigation, and immersive media has accelerated the development of 4K imaging sensors that combine high spatial resolution with low latency, high dynamic range, and robust on‑chip processing. This paper introduces the – a next‑generation silicon‑on‑insulator (SOI) stacked‑sensor architecture designed for real‑time machine‑vision applications. The SSIS‑903 integrates a 3840 × 2160 active‑pixel array (8 MP), a 12‑bit column‑parallel analog‑to‑digital converter (ADC), on‑chip 4‑frame‑buffer memory, and a programmable vision‑pipeline (color‑filter‑array demosaicing, noise‑reduction, and region‑of‑interest (ROI) extraction). We present the sensor’s architecture, fabrication process, electrical and optical characterisation, and a set of benchmark experiments that compare the SSIS‑903 against current state‑of‑the‑art 4K CMOS imagers. Results demonstrate a peak frame rate of 120 fps at full resolution , <2 e⁻ RMS read noise , 120 dB dynamic range , and sub‑10 µs end‑to‑end latency when operating in ROI mode. The paper concludes with a discussion of integration strategies for edge‑AI processors and a roadmap for future enhancements (e.g., multi‑spectral capability, on‑chip AI inference). Device chipset or board name (e