Electronic counter scale intelligent verification method based on deep learning detection and identification

Abstract

The present disclosure discloses an electronic counter scale intelligent verification method based on deep learning detection and identification, which includes: collecting a top image, top depth data, and a front image of the electronic counter scale, and selecting a reading display apparatus on the front image; inputting the top image into a scale pan detection and identification model to obtain a scale pan target detection result, verifying the result with the top depth data, obtaining a spatial position of a scale pan, and outputting the spatial coordinates of the four vertices of the scale pan; inputting the top image into an indicating value detection and identification model to obtain indicating value characters and a position of the display apparatus, correcting similar characters and low-confidence characters, and obtaining an indicating value of the electronic counter scale; and performing unmanned verification of weighing performance, repeatability, bias load, and discrimination.