Aquatic animals have rheotaxis that maintains a balance in response to water flow.They sense water flow through hair cells in lateral line, thereby leading to behavior changes relevant to damages on hair cells, the primary sensory receptor cells within auditory and vestibular systems.Zebrafish are efficient animal models for high-throughput drug screening with human-like hair cells along the lateral line. Their rheotactic behaviors could be assays for hair-cell-targeted drug screening. However,knowledge and tools for rheotaxis analysis along the extent of hair-celldamage have not beenfullyinvestigated. Thisarticleaims atcharacterization of rheotactic behaviorsidentifyinglateral linestatesviaananalysis platformthatsimultaneously examinesmultiple zebrafish larvae.To this end, we developed anautomated framework that incorporated animal test hardware equipment and real-time analysis software for monitoring aquatic behaviors of multiple larvae. Through this framework, a commensurable measure for one-dimensional characterization of rheotactic behaviors was consolidated so that its linear changes could be associated with the population of hair cells remaining intact. Thesefindingssatisfied requestsfor an automated analysis platform to conduct large-scale screening anda biomarkerthatdiscriminatethe seriousness of haircell damagetoscreen candidates having significant effectsinotoprotectivedrug discovery.