Aiming at the problems of poor robustness and are difficult to monitor the settlement value of tunnel timely and effectively. An adaptive recognition and measurement algorithm of tunnel settlement is proposed by combining coordinate attention with object detection algorithm. Using industrial camera to get object images in different environment to build datasets, then training object detection model with coordinate attention, prediction accuracy of the model is 97. 9% in the test sets. Using the target figures and LED lights of the pixel coordinates in images to do the camera calibration and calculate settlement value. The results show that the measurement error of tunnel surrounding rocks is less than 1 centimeter within 25 meters, less than 5 millimeters within 10 meters.