At present,most of the image-based detection systems are mainly single-camera,but the field of view of a single image is limited,and there are often blind spots,so a panoramic object detection system based on four cameras is designed in this paper.Firstly,the system hardware composed of 3B+Raspberry Pi,camera,LCD screen and mobile power supply was built,and a user interactive software interface for detection result display and parameter setting was designed based on QT.The system uses four cameras to frame the surrounding 360-degree scene,then preprocess and stitch the collected images,and finally perform object detection and result display through the EfficientDet-based deep learning model detector.Experimental results show that the system can be portable and mobile,and can realize 360- degree panoramic framing and target detection functions,and the accuracy of target detection is more than 94%.