With help of scientific detection technologies, the product can detect the interiors of containers quickly in an environment-friendly way without damaging any equipment and judge whether the containers are empty or not intelligently. Through self-learning based on algorithm and deep learning, it has greater analysis and recognition in complicated environments, higher accuracy rate and scenario applicability of empty container detection, and high detection efficiency. Its detection module can acquire data through a high-accuracy sensor; it operates reliably; its fixed mechanical limit point can avoid personal injuries by its falling in unexpected power failure.It can realize remote monitoring and diagnosis, fault waring and unattended operation on different occasions, minimizing the manpower needed.