With the development of the industrial and construction industry,the safety awareness of workers is increasing,and the safety helmet is widely used as an important personal protective equipment.Based on this,a safety helmet detection system based on OpenMV is designed.In this regard,OpenMV is adopted as the image processing platform,the hardware architecture of the system is designed,and the corresponding sensor and control module are built.By using the machine learning algorithm built in OpenMV,the real-time detection and recognition of the hard hat are realized.Effectively improve the monitoring efficiency and ac-curacy of helmet wearing,and can quickly determine whether workers wear helmets in complex environments.
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