The human eye's inherent photosensitivity makes it vulnerable to harmful radiation effects, with overexposure leading to ocular pathologies. Ultraviolet radiation and blue light are particularly hazardous, linked to cataracts, eyelid tumors, and age-related macular degeneration. Understanding ocular exposure and its influencing factors is crucial for health prevention, yet determining exposure in various lighting conditions remains challenging. This study proposes a numerical approach to address this issue. Light sources and the geometry of the head and ocular region are modeled using 3D computer techniques, with simulations of radiative exchange between light sources and the eye. A computational 3D eye model, created from physiological data, estimates the light dose received by each ocular component. This method allows for the creation and analysis of arbitrary scenarios, identifying potential hazards. The model’s validity was confirmed through extensive comparisons with analytical and experimental references, proving its effectiveness for its intended purpose.