For a SLAM system operating in a dynamic indoor environment. its position estimation accuracy and visual odometer stability could be reduced because the system can be easily affected by moving obstacles. In this paper. a visual SLAM algorithm based on the Yolov4-Tiny network is proposed. https://www.lolasalinas.com/