In order to achieve high frame frequency, high dynamic range (DR) and low data quantity of visual information accurately, an implementation method of real-time vision sensor based on address-event representation is proposed. The readout data quantity and time-based information distortions decrease, benefitting from AER, adjustable row arbitration and time stamp. The method can detect light-intensity change by changing detector circuits and quantify the light intensity changes by double sampling pulse width modulation (PWM) circuits. The simulated results show that in the illumination conditions of 100 lx and 10 lx, the minimum equivalent frame frequency is 1000 frame/s and 100 frame/s, respectively. DR can reach 133 dB, and vision DR is 48.16 dB. The output can be decreased by 11.61%~42.74% compared with previous one. It proves that the proposed method can perform real-time optical signal capturing, processing and readout as well as be applied to the field of high-speed and high DR image and vision.