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The use of cloud computing platforms to realize personnel identification and access information records is an effective technical means to improve the security of access control systems in hazardous chemical laboratories. Based on the analysis of the identity-oriented cloud computing platform application framework, a hazardous chemicals laboratory access control system is designed, including hardware modules and background management. Describes the system software development process, including: cloud computing platform access, face image detection and invocation, identification and access control parameter settings. When the distance between an experimenter and the camera in the system is 40cm to 105cm, the identification performance of the access control system meets design requirements. An optimized distance as 70cm is selected for the all-day testing to the system, and it’s found that the accuracy rate of identification is greater than 85% and the response time is less than 1.82s.