Study on intelligent scoring system for practical examination of crane operation commanding personnel based on artificial intelligence

The operation of crane operation commanding personnel not only involves their own safety but also has intricate connections with the lives and property of others. This determines that crane operation commanding personnel need to have higher qualifications and more professional skills, and can only take up positions after passing the examination. However, considering the actual situation, the practical examination of crane operation commanding personnel is still primarily conducted in the form of oral defense, which makes it difficult to achieve objectivity, accuracy, and automation. Based on artificial intelligence, this paper delves into the intelligent scoring system for the practical examination of crane operation commanding personnel, aiming to thoroughly address the issue of automatic judgment of examination and evaluation indicators in the actual operational assessment of crane operation commanding personnel. We collected practical operation data of crane operation commanding personnel and carried out data preprocessing and feature extraction. Using machine learning algorithms, we built a scoring model. Through the integration of cameras, gesture parsing, and learning models, we realized the automatic recognition and evaluation of command gestures of examinees during the examination process.