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By using a high-sensitivity CMOS sensor to capture extremely faint visible light in the environment, and then applying AI-driven deep noise reduction, color compensation, and a series of fine enhancement processes to the image, the system ultimately produces a near-realistic full-color image. This is the core principle behind low-light full-color night vision.
Based on a reasonable interpretation and summary of it, we can summarize its imaging link as follows: from image acquisition, transmission, processing to final display in the human eye, all of its efficient imaging link characteristics are reflected one by one
Advanced sensors such as star level CMOS with high sensitivity and large area pixels are used to collect weak visible light such as moonlight, starlight, and residual light from distant street lamps, without actively emitting infrared light to the outside, thus possessing strong concealment characteristics.
The biggest difference between it and traditional night vision lies in the processing of signals. By leveraging the powerful "neural" power of AI to perform real-time processing such as "repair" and "reconstruction" on the raw data of sensors, it is possible to "guess" and restore colors that are close to real RGB even under extremely low lighting conditions, bringing more vivid and realistic full-color images.
Key performance indicators

Our mainstream products are capable of displaying full-color images even under extremely low lighting conditions of 0.003Lux (such as on nights with no moon or starry sky), while traditional starlight level technology has already switched the image to black and white under such lighting conditions.
Its dynamic range can reach or exceed 120dB, which can clearly grasp the subtle lines of the bright and dark parts of the vehicle, and can also suppress strong light such as headlights in milliseconds, without the momentary "white screen blindness" like traditional night vision.
Due to its non reliance on infrared fill lights, it has good concealment without disturbing the observed object.
limitation
But when it is placed in a completely dark and enclosed space such as deep caves, underground pipelines, etc., it loses its visible imaging ability. At this time, it is necessary to replace its function with a compatible infrared supplementary light source or use thermal imaging equipment.