Abstract:
With the rapid development of artificial intelligence technology,educational models and teaching content
are undergoing unprecedented innovation. In line with the talent cultivation goals of criminal science and technology
majors in public security colleges and the requirements of public security practice,this paper explores the reform path
of experimental teaching in the course of digital image processing technology in the era of artificial intelligence. In the
first, the paper analyzes the deficiencies in current course teaching. Secondly,it elaborates on the specific measures for
experimental teaching reform from three aspects:optimization of course content and teaching methods,innovation of
experimental projects,and reform of course evaluation. By introducing the concept and means of artificial intelligence,this
paper aims to enhance students' practical innovation ability and cultivate innovative talents who meet the needs of public
security practice in the new era. These reform measures will help improve the technological application ability and
combat effectiveness of the public security forces,contributing to the enhancement of new quality public security combat
effectiveness.