The invention provides a common invader object detection and identification method of a power transmission corridor based on deep learning. The method comprises that in a training phase, the deep learning method is used to learn pictures, collected by a video collector, of invasion of foreign matters, and a needed network module is obtained by learning; and in the using phase, pictures obtained by practical monitoring is transmitted to the network module to detect and identity invaders. Thus, different types of invaders can be detected and identified, the accuracy and robustness are high, a relatively high processing speed is ensured, and reliable safety guarantee is provided for power transmission lines.