The invention discloses a visitor
identity management system with accurate and efficient face recognition, relates to the technical field of
visitor management, and aims to deploy high-definition cameras with an active near-
infrared technology in each key area of a
cruise ship, extract facial features by using a
deep learning convolutional neural network model, accurately verify the identity and effectively guarantee the safety of the
cruise ship. Multiple standard network protocols are applied, different systems are connected to obtain multi-
source data such as
cruise ship tracks, equipment operation, weather and personnel health, and a basis is provided for operation
decision making. And passenger flow monitoring equipment is installed in each playing area, real-time passenger flow monitoring, risk early warning and flow limiting are realized in combination with a
risk assessment model, and the tourist experience is optimized. The APP integrates positioning and path planning functions, evacuation is guided by means of multi-mode interaction and AR technology in emergency, and the
emergency response efficiency is improved by cross-
system collaborative linkage. Meanwhile,
data security and authority management are guaranteed, early warning optimization and intelligent adjustment are achieved, and
system performance and
service quality are comprehensively improved.