A New Framework and Implementation Technology of Deep Collaborative Front-End Computing

In order to further enhance the perception ability of mobile devices and promote their development towards intellectualization and autonomy. On the basis of the existing related research, aiming at the typical problems existing in the current research, the lightweight machine learning framework for collaborative computing is carried out. This framework can implement object detection methods such as Haar and Adaboost, HOG and SVM. It mainly discusses the practicability of manually designed features for mobile platforms. In order to further improve the system performance, the research on efficient computer vision technologies such as object detection and tracking related theories and technologies is carried out with embedded equipment with the artificial intelligence chip as the core processor.