This work proposes a novel computervision approach for recognizing American Sign Language (ASL) gestures, utilizing OpenCV for image capture and manipulation, and MediaPipe for image labeling and preprocessing. With ...
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This paper presents an advanced computervision and deep learning approach for accurate multi-fruit ripeness sorting, addressing a critical challenge in the agricultural industry. The proposed system employs convoluti...
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This study introduces a machine vision system integrated into cyber-physical systems (CPS) for enhanced industrial control. The system employs a specialized script for real-time image processing and edge detection, wi...
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ISBN:
(纸本)9798350372977;9798350372984
This study introduces a machine vision system integrated into cyber-physical systems (CPS) for enhanced industrial control. The system employs a specialized script for real-time image processing and edge detection, with a focus on precision and speed. Results showcase the system's rapid processing capabilities and high-accuracy feature detection, facilitated by machine learning algorithms that enable adaptability and iterative improvement. The system distinguishes itself by not only providing rapid and accurate feature recognition but also by outputting precise coordinates, crucial for micron-level manufacturing precision. An intuitive human-machine interface ensures seamless operation within industrial workflows. This integration significantly improves automated quality control and operational efficiency, demonstrating the system's potential to advance smart manufacturing in line with Industry 4.0 standards.
Nowadays, urban areas worldwide face several significant challenges in managing traffic, which leads to increases fuel consumption, pollution and travel time. Video-based object detection can collect useful data from ...
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Sign language serves as a crucial communication tool for individuals with speech or hearing impairments. Recent advancements in computervision and deep learning offer opportunities to develop efficient, real-time sig...
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This paper presents a novel approach using computervision algorithms for image analysis facilitating regulators' investigation. Digital evidence is rapidly increasing, originating from selected data viewed throug...
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In Human-computer Interaction (HCI), the traditional mouse is a remarkable invention in computer technology which encounters limitations in modern Bluetooth and wireless models due to battery dependence and PC connect...
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The proceedings contain 26 papers. The topics discussed include: a Stuxnet-style malware propagation modeling study based on Tesla autonomous vehicles;radar emitter recognition method based on kernel extreme learning ...
ISBN:
(纸本)9781510672925
The proceedings contain 26 papers. The topics discussed include: a Stuxnet-style malware propagation modeling study based on Tesla autonomous vehicles;radar emitter recognition method based on kernel extreme learning machine optimized by sparrow search algorithm;analyzing fusion plasma diagnostic images based on computervision and deep learning;research on trust mechanism in wireless sensor networks;YOLOv7-based attention and improved feature fusion small object detection algorithm;research on control of single-phase photovoltaic energy storage grid-connected inverter;a civil unmanned aircraft intelligent control system based on multi-source sensor;and construction of quantitative prediction model of metal mineral resources based on big data mining.
This paper presents a novel approach to address the challenges of manual labor reliance and inefficiencies in the automotive manufacturing industry through the implementation of computervision-based object detection ...
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This paper presents an AI-based sign language recognition system designed to bridge communication gaps for individuals with speech and hearing impairments. The system utilizes a vision-based approach with a Convolutio...
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