Blasting engineering, as the front link of most open pit mining, is the basis to ensure the safe and efficient operation of the subsequent open pit mining production links, such as mining, transportation and discharge. With the development trend of intelligent upgrading and transformation of open-pit mines, the information design of blasting production and the fine control of blasting construction have attracted more and more attention from the industry. In the process of blasting in open-pit mines, the determination of explosive initiation time is very important to the implementation of supervision of blasting safety production and the study and judgment of blasting seismic grade with relevant national departments such as emergency Management Bureau, mine safety Supervision Bureau and earthquake Bureau. However, in the past open-pit mine blasting practice, the initiation time is often only judged by experience, and the time recording unit is generally only up to the second level or classification, and the time recording is relatively rough. However, with the popularization and application of information technology and intelligent technology, it provides the possibility to realize the accurate collection and fine analysis of blasting production information. Therefore, in order to scientifically and accurately quantify the initiation time of blasting engineering, assistant relevant departments to supervise the production safety of blasting engineering. Firstly, the difficulties and pain points of recording the initiation time of engineering blasting are systematically expounded, and the method of confirming the initiation time of explosives based on surface detonator blasting is proposed. Secondly, based on modern high technology such as information technology and intelligence, a method of acquisition of explosive initiation time based on high-speed photography technology is proposed to solve the bottleneck problem that it is difficult to accurately collect the changing state of explosive after detonation. Finally, based on image recognition and wavelet transform technology, a set of automatic image analysis and image processing methods are proposed. The results show that this automatic image processing method can be accurate to millisecond key frame time, and the identification error of the characteristic image of the explosion area can be effectively controlled at 0.1%. The research results can provide basis and reference for the design and optimization of blasting parameters in open pit mining industry.