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Research on Artificial Intelligence-Based Computer Vision and Speech Recognition in intelligent Automation systems 2

Research on Artificial Intelligence-Based Computer Vision an...

引用

2nd IEEE international conference on Image processing and Computer Applications, ICIPCA 2024

作者： Zhang, Jianqin Nanjing Engineering Branch Jiangsu Union Technical Institute Nanjing China

ISBN: (纸本)9798350360240

This paper focuses on the use of SIFT algorithm for visual feature extraction, and innovatively deeply integrates visual information with voice commands to enable accurate control of intelligent automation systems. Firstly, the robustness and efficiency of SIFT algorithm in complex environment is deeply discussed, and it is applied to target object recognition, scene understanding and other visual tasks to effectively extract key visual features. Further, the audio-visual fusion model is researched and constructed, and the visual features extracted by SIFT algorithm are cleverly integrated with the voice commands processed by advanced speech recognition technology. The synchronous analysis and collaborative decision-making of dual-mode information are realized through artificial intelligence means such as deep learning. The purpose of this model is to improve the comprehensive understanding and response ability of the automated system to multiple and heterogeneous input data, so as to ensure that it can accurately identify user intentions and perform accurate operations in complex environments. Experimental results show that this strategy can significantly improve the environment adaptability, interaction naturalness and task completion accuracy of the intelligent automation system. © 2024 IEEE.

关键词： intelligent systems

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intelligent Pedestrian Crossing System at Urban Intersection based on Machine Vision intelligent Recognition System 2

Intelligent Pedestrian Crossing System at Urban Intersection...

引用

2nd IEEE international conference on Integrated Circuits and Communication systems, ICICACS 2024

作者： Cheng, Huiting Chongqing Vocational College of Transportation School of Rail Transportation Chongqing China

ISBN: (纸本)9798350317558

Urban intersections are important places where pedestrians and vehicles meet, and pedestrian crossing safety has become a key issue. An intelligent pedestrian crossing system based on a machine vision intelligent recognition system is proposed as a solution to improve pedestrian traffic safety and street crossing experience. This study uses a machine vision algorithm model, combined with image and video processing technology, to design and implement an intelligent pedestrian crossing system at an urban intersection. Experimental testing and performance evaluation of the system were conducted, focusing on key indicators such as pedestrian detection and recognition accuracy, signal light status recognition accuracy, and system response time. Experimental results show that the pedestrian detection and recognition accuracy of this system is between 88% and 95%. The pedestrian intelligent crossing system shows high accuracy in pedestrian detection and recognition accuracy, and can accurately calibrate the position of pedestrians and Identify their identity information. The system also shows a high accuracy in the signal light status identification task and can accurately determine the current signal light status. In addition, the system has a short reaction time and can take necessary actions and decisions in time to ensure pedestrians cross the street safely. © 2024 IEEE.

关键词： intelligent Identification System intelligent Pedestrian Crossing System Machine Vision Right-of-Way Allocation

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Research on Active Disturbance Rejection control of PMSM Based on Improved BOA 2

Research on Active Disturbance Rejection Control of PMSM Bas...

引用

2nd international conference on signal processing and intelligent Computing, SPIC 2024

作者： Chen, Tong Jiang, Qiang Jin, Bopi Yang, ShengXuan Shenyang Ligong University School of Automation and Electrical Engineering Shenyang China Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang China

ISBN: (纸本)9798350368888

In order to solve the problems of low control accuracy, poor anti-interference ability and poor robustness due to the interference and parameter changes of the servo system of permanent magnet synchronous motor (PMSM) under PI control, an improved active disturbance rejection control strategy is proposed. On the basis of linearisation and bandwidth of the extended state observer, the controller parameters are combined with the bandwidth in the project. Furthermore, to improve the parameter optimization tuning effect, the butterfly optimization algorithm is not high in convergence accuracy, speed and stationarity, and it is easy to avoid falling into the problem of local optimum, the reverse learning strategy, Cauchy variation and sine and cosine guidance mechanism are introduced to optimise the algorithm, and simulation experiments are carried out. The results show that compared with the traditional Proportion Integral(PI) control and active disturbance rejection control, the proposed method can quickly track a given speed, has higher control speed, and can be used to control the local optimum. The results show that compared with the traditional PI control and active disturbance rejection control, the proposed method can quickly track a given speed, has higher control accuracy and anti-interference ability, and effectively ensures the robustness of the PMSM servo system. © 2024 IEEE.

关键词： Permanent magnets

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Face Recognition Implementation Based on Image processing Techniques 2

Face Recognition Implementation Based on Image Processing Te...

引用

2nd international conference on signal processing and intelligent Computing, SPIC 2024

作者： Yang, Bingcan Chen, Xiai Shenyang Ligong University School of Automation and Electrical Engineering Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China

ISBN: (纸本)9798350368888

Image processing is a technique that involves the manipulation and enhancement of digital images. It encompasses various aspects such as image acquisition, image preprocessing, image enhancement, image segmentation, feature extraction, and object detection. The purpose of image processing is to process and enhance images using computer technology, aiming to achieve higher image quality for subsequent processing and applications. In practical applications, image processing techniques employ different algorithms and methods to achieve various processing and enhancement effects. Additionally, image processing techniques can be applied in fields such as medicine, security, autonomous driving, VR/AR, etc. For instance, in the medical field, image processing techniques can be utilized for image segmentation and diagnosis of medical images, thereby improving the accuracy and analytical capabilities of medical imaging. In the security field, image processing techniques can be employed for tasks such as video surveillance and facial recognition, enhancing the efficiency and accuracy of security monitoring. In the domain of autonomous driving, image processing techniques can be used for detecting and recognizing the surrounding environment of vehicles, thereby enhancing the safety and performance of autonomous driving systems. In conclusion, image processing technology is a very important technology. By continuously improving the accuracy and reliability of the algorithm, it is expected to be applied in a wider range of applications. © 2024 IEEE.

关键词： MATLAB

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Numerical Simulation of the Effect of Conical-disc Wave-Shaper on Jet Performance 2

Numerical Simulation of the Effect of Conical-disc Wave-Shap...

引用

2nd international conference on signal processing and intelligent Computing, SPIC 2024

作者： Liang, Zhengang Jin, Jianqi Guo, Xuncheng Qi, Qiong Shenyang Ligong University Shenyang China Xi'an Modern Control Technology Research Institute Xi'an China

ISBN: (纸本)9798350368888

To study the influence of wave-shaped on the jetting performance and penetration capability of shaped charges, nonlinear dynamic simulation software AUTODYN-2D was employed to simulate and calculate the effect of wave-shaper diameter on jetting performance. The results showed that increasing the wave-shaper diameter was beneficial for enhancing jet velocity, demonstrating that altering the wave-shaper dimensions can affect jetting performance. Subsequently, the primary and secondary influencing relationships between wave-shaped diameter (d), wave-shaped thickness (H), and stand-off height (S) on jetting were investigated using an orthogonal experimental design. The results indicated that wave-shaped diameter had a greater influence than stand-off height and wave-shaped thickness. Furthermore, it was found that when the wave-shaped diameter (d) was 36mm, wave-shaped thickness (H) was 10mm, and stand-off height (S) was 10mm, the jet velocity reached its maximum. This study provides further reference for the design and research of charge configurations incorporating wave-shaper. © 2024 IEEE.

关键词： Shaped charges

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Design and Research on intelligent Monitoring System for Marine Engine Inlet and Exhaust Valves 2

Design and Research on Intelligent Monitoring System for Mar...

引用

2nd international conference on Artificial Intelligence and Automation control, AIAC 2024

作者： Peng, Xinyu Wang, Shuren Wang, Heng Hu, Linxiang China Satellite Maritime Measurement and Control Department Jiangsu Jiangyin214400 China

ISBN: (纸本)9798331529147

When a certain ship was sailing in the ocean, the top extension guide pin of the diesel engine power exhaust valve of the main engine broke, which triggered profound thinking on the ship's power system. Taking this as an opportunity, we conducted research and designed an intelligent alarm system. The intelligent alarm system consists of PLC and touch screen as the core components. The PLC serves as the 'brain' of the system, responsible for receiving and processing various data from the ship's power system. As the 'eyes' of the system, the touch screen provides operators with an intuitive and convenient interactive interface. The two jointly build an intelligent alarm system for real-time monitoring, which can achieve comprehensive monitoring of the ship's power systeml'l, This intelligent monitoring system not only effectively monitors the working status of the exhaust valve of the diesel engine host, but also demonstrates strong versatility in later applications. With slight improvements, the system can be well applied to other devices, providing reference for the safe operation of systems such as ship power and intelligent power grids. © 2024 IEEE.

关键词： Smart power grids

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Design and Simulation of Tandem Fixed-wing Unmanned Aerial systems 2

Design and Simulation of Tandem Fixed-wing Unmanned Aerial S...

引用

2nd international conference on signal processing and intelligent Computing, SPIC 2024

作者： Li, Xu Yin, Jinglin Wang, Xin Yuan, Yong Shenyang Ligong University College of Equipment Engineering Shenyang China Co. Ltd. Chongqing China

ISBN: (纸本)9798350368888

This paper focuses on the 3D model construction of a tandem-stage fixed-wing UAV and its kinematic simulation analysis. Through an in-depth understanding of the flight principle of a tandem-stage fixed-wing UAV, the equations of motion of this type of UAV are first constructed. Then the flight process of the UAV is exhaustively simulated and analysed using advanced kinematic analysis software. Under the set initial conditions, the dynamic relationship between the lift force and the flight speed and flight time of the UAV during the flight process was obtained, and the relationship between the thrust paddle centre-of-mass angular velocity amplitude, angular acceleration amplitude and the flight time was also explored, and the rule of change between the flight speed, lift force and flight time of the UAV was further *** concluding data from these simulation analyses not only provide an important reference basis for the design optimisation of the tandem fixed-wing UAV, but also lay a solid theoretical foundation for subsequent experimental verification and practical application. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Driving with Deep Learning: A Robust Traffic Sign Detection and Classification System 2

Driving with Deep Learning: A Robust Traffic Sign Detection ...

引用

2nd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Patel, Harshita Chippa, Ishaan Kumar, Devansh Maske, Vinay Ravindra Satish Bagal, Aakanksha Singh Rajput, Dharmendra School of Information Technology and Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9798350327533

intelligent Transport systems, such as self-driving automobiles, represent a prime example of applications utilizing traffic sign recognition technology. The increasing demand for autonomous vehicles highlights a significant challenge: Their ability to adhere to traffic regulations without human intervention for road safety. As technological advancements pave the way for increased automation, this study addresses the detection and identification of traffic sign boards under varying conditions, including lighting, direction, and diverse weather scenarios. Focusing on scenarios where the traffic sign is the sole object in an image with a minimal background, image processing techniques are employed for traffic sign recognition. Furthermore, the identified and classified sign is associated with its specific geospatial coordinates, using the device's location data, and subsequently stored in a database. This enables tracking of updates or changes to traffic signs along a designated route or area, with original information being replaced or overwritten upon any alteration at a particular location. © 2024 IEEE.

关键词： CNN Geospatial coordinates intelligent Transport systems Traffic signal Database

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Adaptive control of Starting Point Based on System Data Degradation SCR 2

Adaptive Control of Starting Point Based on System Data Degr...

引用

2nd international conference on Computer Vision and intelligent Technology

作者： Wang, Jing Wen, Yudi Zhang, Ying China Acad Launch Vehicle Equipment Integrated Logist Support Ctr Projects Execut Off Beijing Peoples R China Beijing Aerosp Automat Control Inst Beijing Peoples R China Peking Univ Beijing Aerosp Automat Control Inst Natl Key Lab Sci & Technol Aerosp Intelligent Beijing Peoples R China

ISBN: (纸本)9798331540050;9798331540043

In this paper, the prediction starting point detection algorithm based on the real-time change trend of the state is used to divide and control the health status of the system data, and the adaptive control of the starting point threshold of life decay is carried out by analyzing the change trend of the SCR (State Change Rate) of the system data degradation process, so as to improve the accuracy of the prediction starting point detection. The time-domain and frequency-domain features of the processed signal are extracted, and the evaluation index is constructed through the monotonicity and predictiveness of the features, and the suitable features are selected as the basis for the remaining life prediction of the system data. High-dimensional feature processing and screening of system data. In this paper, through a large number of simulation experiments, the monotonicity law of system data features and the trend law of system data characteristics are obtained. The validity of weighting the monotonicity and trend of the system data features is verified, and the weight of monotonicity is 0.6 and the weight of trend is 0.4 in the verification system, and the calculation results of the evaluation index of each feature of the system data are obtained. It is concluded that the peak, variance, root square amplitude, root mean square value, kurtosis value and peak factor are used as inputs for the remaining life prediction for the degradation of the system data.

关键词： adaptive control starting point System data degradation SCR

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Study of a Real-Time Filtering Algorithm Suitable for LQR control 2

Study of a Real-Time Filtering Algorithm Suitable for LQR Co...

引用

2nd international conference on Artificial Intelligence and Automation control, AIAC 2024

作者： Yang, Xinpeng Zhang, Linghui Beijing Institute of Technology Digital Manufacturing Laboratory Beijing China China North Vehicle Research Institute Beijing China

ISBN: (纸本)9798331529147

Linear quadratic regulator (LQR) is crucial in modern optimal control theory. However, its application to nonlinear unstable systems suffers from poor robustness and instability. To address this, this paper proposes a self-optimizing filtering algorithm from a signal processing perspective. The algorithm samples signal values via recursive queue, calculates averages, and limits them. Iterations find the optimal limit interval, and the average of interval values is the filtering result. Experimental verification on a first-order linear inverted pendulum shows this method outperforms others in accuracy, filtering quality, and stability, while meeting real-time control requirements. This improves LQR's robustness and control accuracy. © 2024 IEEE.

关键词： Inverted pendulum

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