1. A hierarchical method for detecting object with parallel architecture comprising: Step (a): retrieving at least an image; Step (b): searching a plurality of obstacle position images of said at least an image; Step (c): using parallel architecture classification to obtain at least one object image and a plurality of cropping frames thereof from said plurality of obstacle position images; Step (d) synchronously separating said plurality of cropping frames and retrieving characteristic values of each said cropping frame; and Step (e): using convolutional neural network to simultaneously recognize said characteristic values of each said cropping frame, and searching and outputting correct said cropping frame from said at least one object image; wherein in said Step (d), a convolutional way of a second layer of said convolutional neural network is used to synchronously separate said plurality of cropping frames and retrieve said characteristic values of each said cropping frame; wherein in said Step (e), a neural network of a second layer of said convolutional neural network is used to recognize said characteristic values of each said cropping frame.