The research background and significance of the design and implementation of campus attendance fingerprint recognition system based on artificial intelligence is to greatly improve the efficiency and accuracy of campus attendance, and promote the development of student attendance management to a more modern and intelligent direction. This system uses advanced artificial intelligence technology, combined with fingerprint recognition, to achieve rapid and accurate verification of the identity of students and staff, to ensure the authenticity and security of attendance data. By automating the attendance process, human error and operational delays can be significantly reduced, and data processing speed and accuracy can be improved. According to the experiment, the correct rate of artificial intelligence campus attendance fingerprint recognition system ranges from 90.07% to 91.65%, and the recognition speed between 0 and 0.5 s accounts for 81.01%. It is not difficult to find that the attendance system based on artificial intelligence can better promote the modernization and intelligence of campus management through the recognition accuracy and recognition speed, and ultimately promote the improvement of the overall operational efficiency and management level of the school through these changes.