Intelligent AI camera system and positioning identification method thereof

Abstract

The invention discloses an intelligent AI camera system, which comprises a control platform, a main control system, a human body detection module, a communication module, a motor control module, a transmission module and an image acquisition module, and is characterized in that the control platform is connected with the main control system, the communication module is connected with the main control system, the human body detection module, the motor control module and the image acquisition module, and the transmission module is connected with the motor control module; the control platform is mainly used for realizing face positioning and face recognition functions; the human body detection module mainly achieves human body state monitoring in front of intelligent self-service equipment, the main control system inquires the sensor state of the human body detection module in real time and reports information to the control platform in time, and the control platform issues a correspondingcontrol instruction according to personnel state changes. By means of the mode, the AI camera positioning recognition efficiency and accuracy can be improved, the intelligent degree is high, and theanti-interference capacity is high.

Description

technical field [0001] The invention relates to the technical field of camera positioning and identification, in particular to an intelligent AI camera system and a positioning and identification method thereof. Background technique [0002] Intelligent self-service terminal equipment has become the main business window in people's daily life. The development of the market has also put forward higher requirements for its intelligence and customer experience. Therefore, there are new requirements for the components of intelligent self-service terminal equipment. For example, cameras widely used in smart self-service terminal equipment, as the eyes of human-computer interaction, have the following problems in practical application scenarios: [0003] 1. The customer experience is poor. In the smart self-service terminal equipment, the camera angle cannot be adjusted. When it comes to face information authentication, the camera cannot obtain the face information of some shorter...

AI Technical Summary

Problems solved by technology

[0003] 1. The customer experience is poor. In the smart self-service terminal equipment, the camera angle cannot be adjusted. When it comes to face information authentication, the camera cannot obtain the face information of some shorter customers, resulting in authentication failure.

[0004] 2. The degree of intelligence is not high. In order to apply to people of different heights, manual adjustment is the most common method, and it can only be adjusted in one dimension, which does not meet the market's intelligent demand for self-service terminal equipment.

[0005] 3. Poor anti-interference ability, face positioning and recognition algorithms are simple, only simple recognition of facial features, no interference filtering mechanism, when extracting face information, it is easily affected by the surrounding environment and people, resulting in misjudgment , Misjudgment phenomenon

[0006] 4. Face positioning takes a long time. At present, the self-service equipment on the market only performs face positioning and obtains face images when face information authentication is required in the business process. However, the current face positioning and recognition takes a long time. lead to inefficiency of the entire business process

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