The invention discloses a mechatronics product detection
system based on an
artificial intelligence image recognition technology, and relates to the technical field of
artificial intelligence and mechatronics, and the mechatronics product detection
system comprises an
image acquisition module, a preprocessing module, a
feature extraction module, a defect recognition module, a
data management module, a result output module and a
system control module, the preprocessing module has the functions of adaptive zooming and intelligent
obstacle avoidance, and processes images by using a
deep learning algorithm and a
quantum filtering technology; a deep
convolutional neural network is used for
feature extraction, SVM and CNN are combined for defect recognition, a meta-learning mechanism is introduced, a
distributed database and
federated learning are adopted for
data management, AR navigation and gesture interaction is used for result output, and a block chain intelligent contract is used for system control to deploy resources. The method has obvious advantages and high detection precision, and can accurately identify tiny and hidden defects; efficiency is greatly improved, and edge and
cloud computing are combined to reduce
processing time; operation is convenient, VR, AR and voice interaction are used, and the maintenance efficiency is improved.