To address limitations of traditional visual function measurement (e.g., prolonged duration, low precision), three Bayesian adaptive systems (Q2CSF, Q2VFM, Q2VA), enhanced by active learning, were developed using real-time information maximization. Q2CSF employs 4AFC for contrast sensitivity assessment (<5 minutes, 0.10 log unit precision); Q2VFM integrates global-local modules for visual field mapping (<0.51 dB HWCI after 120 trials for 24 degree viewing angle range); Q2VA uses 3-letter stimuli to detect 0.1 logMAR visual acuity changes with 93% AUC (vs. 78% for ETDRS). These systems enhance efficiency and precision, supporting timely diagnosis and therapeutic monitoring in ophthalmic practice.