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In order to solve the problem that the GPS(Global Position System)’s low positioning accuracy which can’t meet the needs of UAV(Unmanned Aerial Vehicle)’s cargo handling task. Designed and developed an airborne visual detection and target localization system based on TMS320DM6437, which is composed of an airborne subsystem and a ground monitoring subsystem. The airborne visual information processing subsystem modified the typical Hough transform method taking advantage of the geometric properties of circles, so that the computing burden is decreased significantly while the detection accuracy is preserved, which improved the algorithm efficiency. A framework to distinguish multiple targets in an image was also designed and developed, and a proposed redundancy mechanism enhances its reliability. To verify and demonstrate the reliability, robustness, fastness and accuracy of the proposed algorithm and system, a set of experiment platforms were constructed for both static target localization and moving target tracking tasks.