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Research on Surveillance technology Based on Channel State Information technology Combined with Group Intelligence Cooperative Computing 5

Research on Surveillance Technology Based on Channel State I...

引用

5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024

作者： Luo, Guohua Lu, Jiaming Lin, Junjie Chen, Wangxu Zheng, Kaiwen Lu, Xinghua Institute of Computer Control Technology Guangzhou Huali College Guangzhou China

ISBN: (纸本)9798350385557

Traditional visual surveillance systems have blind spots, resulting in a lack of information about the location and behavior of the surveillance target, while the lack of collaboration of a single visual sensor in traditional surveillance systems limits the acquisition of critical information. To solve this problem, this study proposes a surveillance technology scheme based on channel state information and group intelligence technology. The scheme utilizes CSI technology to design an indoor surveillance cooperative mechanism that can operate in smoke and dark conditions, even through barriers, to effectively monitor non-LoS targets, thus overcoming the blind spot problem of conventional visual surveillance systems. The system does not require the monitoring target personnel to wear sensors or configure specialized monitoring equipment, but rather realizes intelligent cooperative computing of multi-device groups through the breadth coverage characteristics of Wi-Fi information, combined with the changes in the intensity of CSI information caused by target motion, thus realizing real-time monitoring of the target, and improving safety and efficiency. © 2024 IEEE.

关键词： Channel state information

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Research on regional personnel monitoring technology based on channel state information 7

Research on regional personnel monitoring technology based o...

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7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022

作者： Mai, Kaijun Lu, Xinghua Luo, Guohua Cheng, Jinglong Guangzhou Huali College Institute of Computer Control Technology Guangzhou China

ISBN: (纸本)9781665478571

In view of the shortcomings of traditional camera and sensor type monitoring, such as blind spots, limited recognition distance and sensitive scene limitations, this paper proposes a human activity detection and monitoring method based on channel-state-information (CSI). The CSI information of the WiFi signal in the monitored area. Next, use the Butterworth low-pass filter to detect and remove abnormal data. And then use the principal component analysis (PCA) to extract the features of the human body posture, gait information, and number of people model;Learn to build a number recognition model for CSI data;because everyone is different, gait information can be used as an ID for human identification to identify different identities, and the human gait information based on Dynamic Time Warping (DTW) can be Effective identification, so as to play the effect of regional environmental monitoring. In the experiment, this method can achieve 92% capture performance for human gesture recognition, more than 93% error in indoor area recognition is less than 1, and the correct rate of gait recognition is up to 95.2%. © 2022 IEEE.

关键词： Personnel

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Ship Wreck Detection Based on Multi-Beam Local Scene Robust Positioning 5

Ship Wreck Detection Based on Multi-Beam Local Scene Robust ...

引用

5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024

作者： Pan, Yifu Cheng, Jinglong Lu, Xinghua Li, Yajing Wang, Chenhao Guo, Zhanjie Institute of Computer Control Technology Guangzhou Huali College Guangzhou China

ISBN: (纸本)9798350385557

In order to realize the visual detection and location search of shipwrecked at sea, a method for detecting shipwrecked at sea based on multi-beam local scene robust location is proposed. A visual image feature detection model of shipwrecked at sea is constructed, the multi-beam local scene robust feature analysis of shipwrecked at sea is realized by fusion matching and outlier parameter decomposition, the scene tracking of shipwrecked at sea is realized by combining the spatial beamforming method, and the super-pixel clustering processing of the wave beam is realized, and the robust positioning of shipwrecked is realized by considering the super-pixel gray information. According to the similarity between the pixels in the center of each cluster and the iterative search area, the multi-beam local scene is focused, the dynamic tracking and identification of real-time ships at sea and the focus of the map are realized by using the dual-mode verification method, the difference map is calculated by using the single-pixel logarithmic ratio operator and the neighborhood logarithmic ratio operator, and the wrecked ship is detected by weighted fusion according to the difference map. The simulation results show that this method can improve the positioning ability of the shipwrecked area, avoid the background interference, and get a clear picture of the detection result of the shipwrecked state change. © 2024 IEEE.

关键词： Ships

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Active Detection technology of 3-Dimension Artificial Intelligence Robot Based on Visual Positioning

Active Detection Technology of 3-Dimension Artificial Intell...

引用

2021 IEEE International Conference on computer Science, Electronic Information Engineering and Intelligent control technology, CEI 2021

作者： Feng, ZhiHong Institute of computer control technology Guangzhou Huali College Guangzhou China

ISBN: (纸本)9780738146492

Camera repositioning is a key module in SLAM system, which is of great significance to ensure the robustness of positioning and mapping of mobile robots in complex scenes, and is also one of the core technologies of augmented reality and automatic driving. In order to improve the active detection and spatial positioning ability of 3D artificial intelligence robot with self-adaptive posture, an active detection and spatial positioning method of 3D artificial intelligence robot with self-adaptive posture based on visual positioning and Monte Carlo estimation is proposed. The method comprises the following steps of: constructing a dynamic environment characteristic heat map ray projection recognition model of the posture self-adaptive 3D artificial intelligence robot, collecting scene data in the process of edge characteristic detection of the movement track of the posture self-adaptive 3D artificial intelligence robot by adopting a characteristic heat map ray projection method, and establishing a Monte Carlo parameter estimation model for global positioning detection of the movement track distribution of the posture self-adaptive 3D artificial intelligence robot;Based on visual positioning and Monte Carlo parameter estimation method, the edge feature detection and active detection parameter positioning of 3D artificial intelligence robot with self-adaptive posture adjustment are realized. Through 3D visual positioning and maximum likelihood estimation parameter identification, the motion space planning and active detection of 3D artificial intelligence robot with self-adaptive posture adjustment are realized. Combined with visual SLAM method, the active detection model of 3D artificial intelligence robot is constructed to improve the control stability. Tests show that this method has good adaptability in active detection and spatial positioning of 3D artificial intelligence robot, and has strong obstacle avoidance ability. © 2021 IEEE.

关键词： Augmented reality

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Design and implementation of a small diving safety detection underwater robot 7

Design and implementation of a small diving safety detection...

引用

2022 7th International Conference on Information Science, computer technology and Transportation, ISCTT 2022

作者： Ma, Qingqing Cheng, Jinglong Mai, Kaijun Pan, Enting Feng, Xizhe Ye, Zongyuan Institute of computer control technology Guangzhou Huali College Guangzhou China

ISBN: (纸本)9783800760565

In order to test the safety of diving in shallow waters, this design uses a small submersible safety detection underwater robot based on STM32 microcontroller, which can be used as a small cable unmanned underwater robot (ROV, Remote Operated Vehicle) detected in shallow waters. The underwater robot can realize the self-balance of the underwater posture, detect the underwater environment, fuse the sensor data, and send the water detection results to the upper computer display through the wireless module. Brief introduction of hardware structure design, software framework construction, introduce the control algorithm, sensor data collection and diving water hazard judgment. The underwater robot has verified the feasibility and stability of this design. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Machine design

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Integrated access control monitoring system based on face video detection 2

Integrated access control monitoring system based on face vi...

引用

2nd International Conference on Consumer Electronics and computer Engineering, ICCECE 2022

作者： Zhai, Qian Institute of Computer Control Technology Guangzhou Huali College Guangzhou China

ISBN: (纸本)9781665408868

In order to realize the integrated entrance guard detection in the scene of random flow of *** with face recognition algorithm, the design method of integrated entrance guard monitoring system is proposed based on face video detection. A face video feature detection model in the scene of random flow of people is established, block matching on the face video features in the scene of random flow of people is performed, a living feature analysis model of face video monitoring in the scene of random flow of people is established by adopting the method of block feature information fusion, the face feature recognition and information fusion is realized by adopting the method of biological directional recognition, and the statistical features and edge detail parameters of face video in the scene of random flow of people are extracted, Combined with the face anti-deception algorithm, the authenticity of the face in the process of integrated entrance guard monitoring is judged. On the basis of dynamic biometric detection, the feature recognition of facial expressions under different expressions such as nature, smile and mouth opening are realized, and the integrated entrance guard monitoring is realized according to the feature recognition results. In the embedded and cloud technology environment, the alarm controller of integrated access control is built to realize access control, information privacy protection, image recognition and information playback, and the system hardware design is realized. The simulation results show that the designed integrated entrance guard monitoring system has high detection and recognition ability of face features and good recognition accuracy. © 2022 IEEE.

关键词： Monitoring

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Adaptive path planning control of snake-like robot based on reinforcement tracking learning 6

Adaptive path planning control of snake-like robot based on ...

引用

6th IEEE International Conference on Intelligent Computing and Signal Processing, ICSP 2021

作者： Zhang, Xiaojun Institute of Computer Control Technology Huali College Guangdong University of Technology Guangzhou China

ISBN: (纸本)9780738143705

The path adaptive planning control of snake-like robot is influenced by uncertain disturbance of environment variables and joint mechanism components, which leads to poor stability of path planning parameter output. In order to improve the stability of path adaptive planning control of snake-like robot, a path adaptive planning control method of snake-like robot based on reinforcement tracking learning is proposed. The kinematics model of snake-like robot path adaptive planning is constructed, constraint parameter modeling of snake-like robot path adaptive planning control is carried out, path distribution parameters of snake-like robot are collected by using sensitive components such as attitude sensor information output instrument and accelerometer, and path spatial distribution parameters of snake-like robot are fused by using enhanced tracking learning method and input into time control actuator. Aiming at the error of unknown disturbance in path planning parameter control of snake-like robot, attitude parameter fusion and inertia error correction are carried out by using enhanced parameter fusion learning method, so as to realize stable control of snake-like robot path adaptive planning. Simulation results show that this method has good stability in path adaptive planning control of snake-like robot, strong positioning and tracking ability of attitude parameters, and improves the robustness of snake-like robot moving forward. © 2021 IEEE.

关键词： Error correction

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Research on Resource Allocation Algorithm Based on OFDM Communication System 8

Research on Resource Allocation Algorithm Based on OFDM Comm...

引用

8th International Conference on Electrical, Mechanical and computer Engineering, ICEMCE 2024

作者： Zhou, Hanze Gao, Yuning Tang, Canxiong Yang, Dongchao Liang, Hongbin Institute Computer Control Technology Guangzhou Huali College Guangzhou China

ISBN: (纸本)9798331506230

Wireless communication relies on resource allocation to realize data transmission. The complex communication environment challenges resource allocation under harsh conditions, so optimizing resource allocation in communication system is very important. This paper explores the resource allocation problem of communication system, and designs and implements a low complexity resource allocation algorithm based on OFDM communication system. Three normalized resource allocation processing methods are used to optimize the resource allocation of water injection algorithm, so as to reduce the computational complexity and running time of the system and improve the capacity performance of the system. The results show that the strategy has a significant effect on improving the performance of OFDM communication system, and can effectively deal with the problems of low delay and transmission efficiency in the communication system, and achieve and optimize the resource allocation goal. © 2024 IEEE.

关键词： Adaptive technology Low complexity OFDM resource allocation Spectrum resources

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Load balancing transmission technology of network communication based on phase spectrum compensation 7

Load balancing transmission technology of network communicat...

引用

2021 7th International Conference on Manufacturing technology and Applied Materials, ICAMMT 2021

作者： Zhai, Qian Lu, Xing Hua Huali College Guangdong University of Technology Institute of Computer Control Technology Guangzhou511325 China

In order to improve the load balance scheduling transmission ability of multi-frequency network communication in high-order nonlinear system, load balance design is needed. A load balance transmission method of multi-frequency network communication in high-order nonlinear system based on phase spectrum compensation is proposed. The time domain model of high-order nonlinear system multi-frequency network communication load is constructed by multi-frequency modulation phase spectrum compensation method. The feature detection of high-order nonlinear system multi-frequency network communication load is realized by high-order statistical feature connection identification and communication load balancing method. The autocorrelation constraint parameters of high-order nonlinear system multi-frequency network communication load are analyzed. The multi-dimensional array networking structure model of high-order nonlinear system multi-frequency network communication load is constructed by spatial spectral density analysis method. Combined with phase spectrum compensation and signal detection methods, the extracted high-order nonlinear system multi-frequency network communication load spectrum features are adaptively scheduled and filtered. In the wireless communication networking environment, load balance transmission of communication load in multi-frequency network of high-order nonlinear system is realized. The simulation results show that this method has better balance and lower error rate in multi-frequency network communication load balancing transmission, which improves the accuracy of multi-frequency network communication load balancing scheduling in high-order nonlinear systems. © Published under licence by IOP Publishing Ltd.

关键词： Time domain analysis

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Robot path guidance algorithm based on compound collaborative filtering 6

Robot path guidance algorithm based on compound collaborativ...

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6th IEEE International Conference on Intelligent Computing and Signal Processing, ICSP 2021

作者： Liu, WenLin Cheng, JingLong Lu, XingHua Pan, YiFu Gao, YuNing Huali College Guangdong University of Technology Computer and Information Engineering Guangzhou China Institute of Computer Control Technology Huali College Guangdong University of Technology Guangzhou China

ISBN: (纸本)9780738143705

In order to improve the stability of control and path guidance of rigid-soft hybrid snake-like robot, a crawling path guidance method of rigid-soft hybrid snake-like robot based on composite collaborative filtering is proposed. The physical spatial grid distribution model of rigid-soft hybrid snake-like robot crawling is constructed, the SLAM guidance method is adopted to carry out grid regionalization matching in the obstacle avoidance process of rigid-soft hybrid snake-like robot, the optimization constraint parameters of obstacle avoidance path distribution of rigid-soft hybrid snake-like robot are established, and the path distribution characteristic variables in the obstacle avoidance process of rigid-soft hybrid snake-like robot are analyzed based on the kinematic characteristic analysis method. Parameter optimization design of rigid-soft hybrid snake-like robot crawling path guidance is carried out by local spatial feature distribution detection and recognition method, and optimization control is carried out by composite collaborative filtering algorithm. Adaptive inertial parameter optimization and accurate location are carried out by multi-sensor parameter positioning method. The simulation results show that this method has better adaptive optimization ability and higher robot positioning accuracy, which improves the obstacle avoidance and guidance ability of the rigid-soft hybrid snake robot. © 2021 IEEE.

关键词： Collaborative filtering

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