This study proposes automation measures of anti-collision detection within EMS(Electrical Mono Rail System). EMS is a full automation transport equipment mainly used in production process, such as car manufacturing planets, electronic factories and food processing plants among manufactures. This research paper presents a plan for creating a smart EMS and overcoming an weakness of EMS. The mechanical strength and durability are ensured in the expected major collision region by performing a CAE analysis. Automated equipment has to respond to a sudden accident which is based on the self-image recording function and wireless transmission function. This equipment will record a sudden crash course in real time and record it. This record eventually becomes known to distant places with users. Because of this equipment, the unexpected accident is prevented and is reduced a human damage and is expected to improve productivity. Therefore, this research results are as follows. The first, the full automated conveyor controller is developed within from 3 to 4 millimeter stop range according to increase of load weight in 1.5 tons. The second, wireless image recording system for the measures of unexpected accident is developed through the CAE analysis of main parts for the exact stop control. The most important final purpose of this research is developed the wireless image recording system for the unexpected accident.