As quantum computing technology matures, the availability and performance of quantum devices are steadily improving. However, in the NISQ (Noisy Intermediate-Scale Quantum) era, the quantum bit error rate caused by qu...
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This paper presents a novel approach to enhancing real-time surveillance systems using an augmented YOLO (You Only Look Once) v8 architecture. The primary focus is on integrating advanced security features into the YO...
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ISBN:
(纸本)9798350394962
This paper presents a novel approach to enhancing real-time surveillance systems using an augmented YOLO (You Only Look Once) v8 architecture. The primary focus is on integrating advanced security features into the YOLO framework to improve the detection and analysis of moving objects in various surveillance scenarios. The key enhancements include the implementation of an Anomaly Detection Layer, the integration of Behavior Analysis algorithms, and the enhancement of Real-Time Data processing capabilities. These modifications are designed to increase the accuracy of threat detection while maintaining the high processing speeds essential for real-time applications. The Anomaly Detection Layer utilizes unsupervised learning algorithms to identify deviations from normal patterns, enabling the system to flag potential security threats that might otherwise go unnoticed. The Behavior Analysis algorithms are incorporated to analyze movement patterns and identify suspicious behaviors, adding a layer of contextual understanding to object detection. To ensure the practicality of these enhancements, the model is optimized to handle live video feeds with minimal latency, maintaining an average processing speed of 45 frames per second. The experimental setup involved testing the enhanced YOLO v8 model in various simulated and real-world environments, comparing its performance with standard YOLO v8 and other existing surveillance models. The results demonstrated a significant improvement in detection accuracy, particularly in identifying anomalous behaviors and potential threats. The enhanced model outperformed the baseline models in various complex scenarios, including crowded public spaces and high-activity zones. This research contributes to the field of surveillance technology by offering a more sophisticated and efficient tool for public safety and security applications. It highlights the potential of integrating advanced AI features into existing object detection frameworks
This study compared various methods for academic article similarity matching. We employed two similarity algorithms, specifically Cosine and Jaccard Similarity. Moreover, these two similarity algorithms were combined ...
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Recently, an affine projection tanh (APT) algorithm has been designed based on optimization criteria with hyperbolic tangent function constraints. However, there is a significant steady-state error in the APT algorith...
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The multiplier is an important component of the processor's computing unit. Multiplication, multiplication, addition, and multiplication and subtraction operations are widely used in various signal processing algo...
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Three approaches to processing of several reflection signals are considered in comparison - processing in the time domain, in the frequency domain and time-frequency signal processing. For processing in the time domai...
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Technological advancement including the use of new media formats in creating digital documents calls for the development of enhanced processing techniques and methods. Old school optical Character Recognition (OCR) to...
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For computer vision systems that use monocular methods for determining the motion of a video camera based on algorithms for calculating optical flow parameters are proposed method velocity field estimates that are res...
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Airborne radars usually face non-uniform clutter environments, and it is difficult to obtain enough independent and identical distributed (i.i.d.) training samples, which degrades the clutter suppression performance o...
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With the rapid development of high-precision and high-speed ADC devices, traditional analog processing methods for nuclear pulse signals have gradually exited the historical stage. Digitizing nuclear pulse signals has...
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