The rise of the low-altitude economy has led to the widespread adoption of small unmanned aerial vehicles （UAVs） in logistics， surveying， and entertainment， yet the associated security risks have grown increasingly prominent. Detecting low-slow-small （LSS） targets is therefore crucial in domains such as national security， airspace regulation， and UAV defense， as it effectively mitigates potential threats posed by small and low-altitude flying objects. In response to limitations of current sensors with regard to cost-effectiveness， operation under complex lighting conditions， and broad field-of-view coverage， this paper proposes an LSS target detection system that leverages both an event camera and an RGB camera. First， the high-speed imaging and wide dynamic range of event camera are employed for an initial “sweep”， and an event-based detection algorithm provides preliminary target localization. Next， an information collaboration module fuses the two-modal data to enhance detection accuracy. Finally， the high-resolution and dynamic zoom features of RGB camera enable a “gaze” mode， combined with a dedicated image recognition algorithm for fine-grained target identification and tracking. Under complex lighting and wide field-of-view scenarios， this system achieves both low cost and high performance， offering an effective new approach to LSS target detection.