5316104

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5316104 is a double factor biological risk assessment and intelligent safety monitoring system developed by Sendy Technology that combines powerful hardware and software to monitor after-sales personnel and equipment in the field of fire safety.It uses two-factor biological risk assessment and intelligent safety monitoring technology, using the combination of face recognition, voice biometric data, action analysis, and other technologies to accurately identify human identity and safety behavior in real time. By applying this system of high-tech prevention, attack and control, it provides all-in-one solutions for intelligent fireproof management.The application field of 5316104 includes real-time surveillance, unattended monitoring, personnel management, safety assessment, risk reduction, and personal identification methods. As an integrated solution, it can be deployed in a variety of fields, such as airports, large public areas, commercial buildings, public transportation, parking lots, security checkpoints, and other places that require accurate personnel identification, risk assessment or safety monitoring.The comprehensive solution of the 5316104 system includes three core elements, which are hardware, software, and cloud service. First, it uses advanced facial recognition technology with a powerful GPU hardware platform, which is combined with a deep learning algorithm and artificial intelligence technology to make the system’s facial recognition accuracy more accurate. Second, the software uses cross-platform application development technology, based on the cloud platform to improve the extensibility of the system development. Third, the cloud service provides powerful management tools for the system, enabling real-time remote monitoring and voice control of the system.The working principle of the 5316104 system is based on the combination of facial recognition, voice biometric data, action analysis and other technologies. The system first uses facial recognition technology to identify the human face in the field of view and stores it into its system database. Then, it uses voice biometric data to identify the person by analyzing their voice frequency, intonation and other characteristics. Meanwhile, the system uses action analysis technology to analyze the person’s safety behavior and movement, and finally, it makes an overall assessment of the person’s safety risk. Based on these comprehensive and analytical methods, the system can accurately identify the human identity in real time and make informed decisions in order to reduce risks and increase safety in the field.Overall, the 5316104 system is a comprehensive solution for real-time surveillance, unattended monitoring, personnel management, safety assessment, risk reduction, and personal identification needs. It combines powerful hardware and software, along with advanced facial recognition, voice biometric data, action analysis, and other technologies, to accurately identify human identity and safety behavior in real time. With its cloud service management, it provides a comprehensive solution for intelligent fireproof management.

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