The minimum frequency resolution plays a critical role in ensuring the capacity of visible light-positioning systems. Lower resolutions can support more available addresses. In this study, the primary factors influencing visible light imaging, such as the object distance and exposure time of the image sensor, were investigated to expand the system capacity. Next, a quantitative analysis of the minimum frequency resolution was conducted based on the above factors. Finally, the minimum frequency resolutions required to accurately achieve light-emitting diode identity (LED-ID) at different object distances were determined using the mainstream LED-ID recognition algorithm based on the visible light-positioning system, characterized by the imaging region size and the number of bright stripes. The experimental results reveal that when the object distances are 50, 100, and 200 cm, the minimum frequency resolutions are 60, 100, and 200 Hz, respectively. With an increase in the object distance, the image detection ability decreases, and the minimum frequency resolution increases. When the LED-ID recognition rate reaches at least 95%, an appropriate frequency interval can be selected to efficiently allocate available addresses. When the object distance is 250 cm, the system capacity increases by 120%. This study provides a valuable reference for selecting frequency intervals in practical application scenarios.