This research project aims to automatically control vehicle speed in zones with speed limits, such as those designated for educational and medical purposes, in addition to occurrences of *** select regions, transmitte...
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By instantly identifying suspicious occurrences, people, and things, smart CCTV systems greatly improve monitoring capacities. In this research, we investigate how to enhance CCTV video stream anomaly detection using ...
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In the preparation and packing of pomegranates, sorting is an essential stage. Pomegranates are currently hand sorted into quality groups. Manual sorting, however, takes a lot of time and is not precise. Furthermore, ...
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The MATLAB Graphical User Interface (GUI) facilitates bone age assessment through hand X-ray and MRI images, streamlining the process for medical practitioners and researchers. Users can load X-ray and MRI images, vis...
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In this paper, an improved gray wolf optimization linear active disturbance rejection control (IGWO-LADRC) had been proposed by improving the grey wolf population initialization, convergence factor, and grey wolf posi...
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This research investigates the synergy between computer vision and programmable logic controllers (PLCs) for enhancing material recycling efficiency. Focusing on aluminum can and glass bottle recycling, this study dev...
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ISBN:
(纸本)9798350349795;9798350349788
This research investigates the synergy between computer vision and programmable logic controllers (PLCs) for enhancing material recycling efficiency. Focusing on aluminum can and glass bottle recycling, this study develops and simulates a user-centric vending machine system. The system employs a convolutional neural network (CNN) for accurate object recognition, integrated with a PLC-based control system via the OPC UA communication protocol. By incentivizing recycling through discount offers, the vending machine aims to promote sustainable waste management practices. Successful simulation demonstrates the feasibility of this approach, highlighting the potential for computer vision and PLC integration in the development of advanced recycling solutions.
The prevention of signature forgery on physical documents is a critical concern in sectors like insurance, where the authenticity of claims documentation is pivotal. Handwritten signatures pose a challenge for verific...
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Our research proposes a comprehensive approach to identify duplicate frames in digital videos. It integrates machine learning and signal processing techniques for effective identification. The process begins with pre-...
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Numerous facets of the public realm could be revolutionised by the convergence of the Internet of Things (the Internet of Things) and Artificial Intelligence (AI). This project developed a based-on data predictive mai...
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In this study, the utilization of Roboflow's YOLOv8 architecture for crack segmentation is explored, focusing on evaluating the model's performance and readiness for real- world deployment. The methodology inv...
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