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Showing 1–12 of 35 results

  • New Image Processing Application for Life Signs Detection

    Abstract: Natural disasters such as earthquakes, landslides and tornados, occur quickly and unexpectedly leaving no time to prepare for rescue, thus causing loss of lives. Unlike the types of disasters mentioned above, this research focuses on disasters such as typhoons and tsunamis, where there is little time to prepare for the worst cases when people are stuck in their home waiting for the Search and Rescue Team (SRT). In most cases, after a disaster occurs the SRT are often unable to quickly search and rescue those who need help. This is due to many reasons. One of the most important reasons is the lack of a practical and efficient rescue system available for the rescue task. To overcome this problem, this research proposes a practical, comprehensive and efficient new search scheme to quickly detect and rescue people and facilitate the SRT task. In this new scheme a person waiting for the SRT, will post outdoors a fife sign which can be made with any familiar household items. The sign should not coincide with any existing outside signs. Once the SRT arrives on the disaster site, each drone is launched at the search spot, based on the damage area and city map information integrated into the drones. The drones mission is to automatically and quickly identify and find signs of life. This new search and rescue scheme is developed on the basis of high image processing technology. This current article proposes a rescue sign for the task.

    Keywords: Pattern recognition, rescue team, disaster, search, image processing, search and rescue

  • Seashore Debris Detection Model with KaKaXi Camera Custom Dataset Using Instance Segmentation

    Abstract: Marine debris is impacting coastal landscapes majorly by affecting biodiversity, impairing recreational uses, causing losses to fishing industries, maritime industries, etc. Motivated by the need for automatic and cost-effective approaches for debris monitoring and removal, we employed computer vision technique together with deep learning-based model to identify and classify marine debris on several beach locations. This paper provides a comparative analysis of state-of-the-art deep learning architectures and proposed architecture which is used as feature extractor for debris image classification.

    The model is being proposed to detect seven categories of marine debris using a custom debris dataset, with the help of instance segmentation and a shape matching network, which can then be cleaned timely and efficiently. The manually constructed dataset for this system is created by annotating fixed KaKaXi camera images using CVAT with seven types of labels. A pre-trained HOG shape feature extractor is being used on LIBSVM along with template matching to improve the predicted masked images obtained via Mask R-CNN training. This system intends to timely alert the cleanup organizations with the recorded live debris data. The proposed network resulted in the improvement of misclassification of debris masks for objects with different illuminations, shape, occlusion and viewpoints.

    Keywords: debris; fixed camera images; computer vision; instance segmentation; deep learning; template matching; Histogram of Gradients (HOG)

  • Speech Recognition Signal Lamp Image Simulation

    Abstract:  Speech recognition technology is a method of computer sound signal processing, which determines human behavior by analyzing the characteristics of sound signal. It has a wide range of applications in modern science and technology, and is a new frontier science, also is known as intelligent language. With the continuous improvement of people’s requirements for the quality of life, intelligent devices have sprung up in various fields. It is very practical to apply speech recognition technology to smart home reasonably to make home life more comfortable, safe and effective. The recognition of speech signal is primarily completed by preprocessing, feature extraction, training and pattern matching; the user interface is established by using the function of Matlab GUI, and the signal lamp image based on speech recognition is simulated and controlled by using the software.

    Keywords: Speech recognition; Endpoint detection; Feature extraction; pattern recognition

  • Intelligent Ramp Patrol Car based on MSP430

    Abstract:  This article aims to use the MSP430 single-chip to design an intelligent car, which is suitable for the precision tracking of various inclined slopes. The patrol car uses infrared sensors to collect ramp trajectory information and to adjust the forward direction through the front-axle steering mechanism. The gyroscope collects the car status in real time so that the car is controlled to perform uphill acceleration, downhill deceleration. Such a design allows the patrol car to be stabilized in the ramp with the established route.

    Keywords: MPU6050, patrol car, front steering axle, ramp track

  • Design of the Automatic Control System for Restaurant Food Delivery Based On PLC

    Abstract: The paper designs an automatic control system for restaurant food delivery based on PLC, including the mechanical structure and automatic control system design. The mechanical structure of the system includes horizontal delivery subsystems and a vertical delivery subsystem. The automatic control system includes PLC control and the human-machine interface, which realizes the entire system’s automation. At the end of the paper, we analyze the whole system’s reliability and economy to reflect the characteristics and practicability of the automatic control system.

    Keywords: Food delivery system; PLC control; human-machine interface; reliability

  • Design of Smoke Alarm Device Based on STM32C8T6 Single-chip Microcomputer

    Open Access

    Abstract: At present, with the popularization of high-power electrical equipment, more and more fires occurred. In order to protect the safety of people’s lives and property, the prevention and monitoring of fires has become an urgent problem in today’s society. The system is a single-chip microcomputer smoke alarm system designed for schools, families, hotels, cinemas, office buildings and public places. It uses STM32C8T6 single-chip microcomputer as the controller. When the device detects signals through the MQ-2 smoke sensor, then inputs the signals to the single-chip microcomputer after A/D conversion. And the buzzer is also controlled through the single-chip microcomputer to realize the smoke alarm. The system has the characteristics of high reliability, low cost, and easy maintenance.

  • Statistics Causality Analysis of Emotions Evoked by Self-Feedback and Facial Features Based on Feature Maps

    Open Access

    Abstract:  Previous studies have demonstrated that emotional arousal is evoked by visual feedback of a selfie. This selfie was subjectively evaluated as having a good face and a good psychological state. However, the causality between emotional arousal due to feedback from a selfie and facial features recognized by the human eye was not revealed. The objective of the present study was factor clarification of the emotional arousal. The study evaluates the kind of facial information the human eye recognizes when the human distinguishes the type of selfie. For this, a model was developed using machine learning to automatically classify if a photographed selfie can favorably affect the emotional state. As a result, the type of selfie was distinguished at 83.3% correctness, and it was suggested that the whole face was recognized when the human eye evaluated a selfie as a selfie that can have a favorable effect on the emotional state. In other words, when evaluating the face, it was suggested that evaluating the whole, not the part, would be a cause of emotional arousal.

    Keywords: Emotion, Emotional Arousal, Machine Learning, Selfie

  • Research on Dynamic Multi-Object Recognition based on Machine Vision

    Open Access

    Abstract: Dynamic multi-object recognition based on machine vision is a very important research direction in the field of pattern recognition. In this paper, the multi-object identification of robotic fishes in water is studied and A HSV color space model is proposed. By re-modeling the original color space, the main light interference in the image can be effectively removed, and the shadow of the robotic fish can be removed, making the background segmentation more accurate. The improved algorithm has stronger robustness than the original matching tracking algorithm

    Keywords: Robotic fish, target recognition, machine vision, HSV, deep learning

  • Fabrication and Evaluation of the Inshore Fishing UAV Gripper

    Open Access

    Abstract: UAV is defined as Unmanned Aerial Vehicle with some greater or lesser degree of ‘automatic intelligence’ part of an unmanned aircraft systems. Although all UAV systems have many elements other than the air vehicles, UAVs are usually categorized by the capability or size of the air vehicle that is required to carry out the mission. However, it is possible that one system may employ more than one type of air vehicle to cover different types of missions, and that may pose a problem in its designation. However, these definitions are constantly being changed as technology advances, allowing a smaller system to take on the roles of the one above. The boundaries, therefore, are often blurred so that the following definitions can only be approximate and subject to change. The main challenge in design and making any system for integration into the main research system, such as robot or UAV, requires careful attention on the interaction of each electric and electrical unit or component on the circuit board. This paper highlights the fabrication and the evaluation of the Inshore Fishing UAV gripper, the acrylic board, and the wireless communication module. The communication transmission distance between the UAV on shore and UAV over the sea is about 1 kilometer with stable flight.

    Keywords: UAV; UAS; Gripper; Drone; Seashore; twe-litle.

  • A laser scanner based in-process inspection approach of thru-hole for drilling robotic system

    Open Access

    Abstract: An in-process hole inspection subsystem was integrated with the drilling robotic system, which is based on the line laser scanner installed near the end-effector. The proposed inspection approach is based on the image processing of 3D (three dimension) point cloud obtained from laser scanner driven by the robotic manipulator. The normal of measuring surface was detected from the 3D point data on the hole edge, which determines the feedback signal to the hardware to adjust the direction of laser beam. By normal adjusting algorithm, the laser scanner is driven by the robotic manipulator to achieve the normal direction of the measuring hole. Then, based on 2D (two dimension) point data, the least square ellipse fitting method was applied to compute the hole parameters, such as diameter, circularity and positioning of the hole. The designed approach was tested for its accuracy and robust in an example of through hole automatic inspection

    Keywords: line laser scanner, drilling robot, hole inspection, normal adjusting

  • The Design of Intelligent Vehicle System Based on STM32

    Open Access

    Abstract: This paper design a new vehicle system that has a function of storing path data. The main control chip of the intelligent vehicles system is STM32F103ZET6. The current position and direction of the vehicle are determined by means of path memory and position recognition. This system is rarely affected by the ground condition, so there is no need for any ground signs.

    Keywords: intellectual vehicles system, path memory, position recognition, STM32F103ZET6

  • Design and Experiments of Distributed Compliant Actuator for Industrial Robots

    Open Access

    Abstract: In order to reduce the torsional moment of the motor in Axis-2, the drive compensation devices can be used for the joint of industrial robots. The static balance compensation range of conventional balance cylinders is limited. Since of lacking in autonomy, continuity, and dynamics, balance cylinders cannot be used for compensation when load is various. The dynamic cylinder based on series elastic actuator (SEA) devices is designed to realize the automatic response of industrial robots when load is various, to obtain continuous dynamic compensation of the inertia moment and to achieve the optimum balance. Because SEA devices have features of dynamic adjustment and energy amplification, they can be used to realize balance compensation and reduce effectively the power requirement for the joint drive motor or even replace a motor of Axis-2. Thus, a new kind of flexible balance-drive device is constructed. In this paper, theoretical and experimental analyses of the dynamic model are conducted. The experimental results prove that the devices combine the effects of balancing cylinders and motors of Axis-2, as well as increasing load capacity and flexibility.

    Keywords: Industrial robot; Balance mechanism; Series elastic actuator; Distributed actuator