Helmet Detection Based on Deep Learning and Random Forest on UAV for Power Construction Safety

• Published in: Journal of advanced computational intelligence and intelligent informatics Vol. 25; no. 1; pp. 40 - 49
• Main Authors: Yan, Guobing, Sun, Qiang, Huang, Jianying, Chen, Yonghong
• Format: Journal Article
• Language: English
• Published: Tokyo Fuji Technology Press Co. Ltd 20.01.2021
• Subjects: Algorithms; Artificial neural networks; Construction accidents & safety; Deep learning; Feature extraction; Helmets; Image processing; Machine learning; Neural networks; Object recognition; Occupational safety; Unmanned aerial vehicles
• ISSN: 1343-0130; 1883-8014
• DOI: 10.20965/jaciii.2021.p0040

Image recognition is one of the key technologies for worker’s helmet detection using an unmanned aerial vehicle (UAV). By analyzing the image feature extraction method for workers’ helmet detection based on convolutional neural network (CNN), a double-channel convolutional neural network (DCNN) mode...