Research and Practice of Automatic Identification Method for Construction Materials based on Deep Learning.

Based on computer vision technology, this paper proposes an automatic identification method for construction materials based on deep learning. For the "artificial counting method", "artificial counting accuracy" and "artificial counting efficiency", the material counting on construction sites is completed by using algorithms instead of the artificial method from the perspective of "the best engineering practice". The engineering practice shows that this technology can greatly improve the material counting efficiency of managers on construction sites comprehensively.