Computer Vision and Pattern Recognition Based on Sensing Technology

Dear Colleagues,

With the advancement of computing hardware and sensor technologies such as imaging technologies, applications of artificial intelligence like computer vision (CV) and pattern recognition (PR) are being increasingly applied in fields such as object inspection and identification, information security monitoring, and analysis prediction. Data analysis based on sensors and images has enhanced the precision and efficiency of intelligent monitoring, detection, prediction, and identification. However, challenges remain in terms of adaptability to complex environments, data utilization, and model generalization capabilities. Researchers are exploring methods such as adaptive feature extraction and multimodal algorithm fusion to optimize model robustness and adaptability. With advancements in these technologies, the application of sensors and artificial intelligence in production, safety, and daily life will become more precise and efficient, providing strong support for intelligent detection, risk warning, and automated decision-making.

This Special Issue explores innovative solutions that use advanced artificial intelligence and computer vision technologies to address challenges in real-world applications. Topics of interest include, but are not limited to, the following:

Object detection and identification；

Image classification and analysis；

Computer vision；

Intelligent sensors and data analysis;

Image classification and detection technologies;

Fiber optic sensors;

Image sensors.

Dr. Xiao Yu
Guest Editor

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