Abstract As an effective field testing, sports-related behavioral observation plays an important role in the life and personal happiness. Normally it is regarded as acts of human task, the task using a sliding window of fixed length split long trip signal. Identifying from the coarse sensor information out of human indication, a make the current track and the wearable device checks conventional motion. In any case, when used in the real world, rack-mounted gadgets presentation usually is not enough. Field Programmable Gate Array (FPGA) for image ready to be applied gradually. For embedded applications in progress is particularly true where the inactivity and power consumption is an important consideration. The image sensor overflows, FPGA sensitive camera built in, may be an important part of image processing performed legally. The camera offers a ready flow of production information, rather than a series of images. In this paper, from the lonely sensor information to recognize and resolve style swimming laps problem. 40 swimmers from various foundations to collect the information of 17 hours. Then use this information to prepare convoluted nerve tissue, to identify the four basic strokes, duration and turning circle. Clearly these results provide the first precise programming to improve the rational and swim sport detection under the approval completely controlled climatic conditions.