The present invention relates to a crane intelligent lifting
system based on limb
motion recognition. Based on a human-computer interaction
system of six control units, the crane intelligent lifting
system is characterized in that: 1) a large
zoom network camera continuously collects multiple sets of standard limb motions of the command personnel, 2) a large
zoom network camera collects limb motions of the command personnel in real time through the cloud platform on the crane
cockpit, and then enters a contour extraction unit and a
feature extraction unit to obtain a gesture Hu
image moment feature vector of the command personnel; and 3) query is performed through a sample classifier by using the SVM
machine learning
algorithm, and the most matched limb motion sample class is returned, sothat the corresponding crane command
signal is transmitted to the crane controller to complete the crane lifting work. According to the system disclosed by the present invention, the shortcomings of the above-mentioned existing limb
motion recognition technology is overcome, that the
signal human judgment and command mode is not friendly enough is overcome, and referring to the
national standard GB5082-85 of the lifting command
signal, the command personnel can be tracked in real time, and the system has the advantages of a low cost, strong robustness and high real-time performance.