Embedded　AI　rised　in　recent　years,　AI　algorithm　deployment　platforms　need　strong　computing　power,　but　embedded　systems　focus　on　the　balance　between　performance　and　cost.　The　contradiction　has　become　a　great　challenge　for　the　development　of　embedded　AI.　This　paper　analyzes　the　＇ARM+FPGA＇　architecture　and　NEON　register　resources　of　the　ZYNQ　series　chips　introduced　by　Xilinx,　and　proposes　a　method　to　reasonably　schedule　the　above　resources　to　accelerate　video　preprocessing　when　it　is　used　as　an　edge　processing　platform　for　intelligent　monitoring　terminals.　This　method　makes　the　video　intelligent　analysis　process　of　the　monitoring　terminal　achieve　real-time.　©　2019　Published　under　licence　by　IOP　Publishing　Ltd.