Object detection plays a key role in robotics, and as one of the most popular platforms for robot development, it is very necessary for ROS (Robot Operating System) platform to achieve fast and accurate object detection. Recently, the deep learning method is the core technology to realize the object detection function, but the object detection packets carried by the ROS platform are still based on the traditional local image feature description method, which with poor robustness and weak generalization ability. Aiming at the above problems, we propose a customized object detection model based on SSD_MobileNet framework, which combines the image dataset independently, and integrate the model to the ROS platform to achieve fast and accurate object detection function.