The invention discloses an automatic calibration method based on
deep learning multimeter reading identification and application thereof, and the method comprises the steps: obtaining calibration information, and transmitting the calibration information to a
server; in response to the calibration request, sending a starting instruction to a
server; acquiring a
multimeter image in real time, extracting a real-time indicating value from the
multimeter image based on a neural
network model, and sending the real-time indicating value to an upper computer; the neural
network model comprises a
backbone network, a neck network and a head network, the
backbone network comprises a low illumination enhancement module, a down-sampling layer and a fast spatial
pyramid pooling layer, the down-sampling layer comprises alternative standard
convolution modules and C2fGhostV2 modules, the C2fGhostV2 modules, and the fast spatial
pyramid pooling layer is connected to the neck network through a simAM module. According to the method, the calculation amount and the parameter amount are effectively reduced, the calculation efficiency is improved, the robustness to a complex background is enhanced, full-process
automation is realized, and the calibration efficiency, precision and stability are improved.