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Workplace video surveillance and timely response to operational violations are critical to avoid operator injuries at power construction sites. Here, a system that combines remote substation construction management and artificial intelligence object detection techniques to intellectualize the power construction management process and identify violations during construction in real time is proposed. To improve the detection accuracy, a data augmentation method, including three operations: (1) object segmentation and background fusion; (2) partial erasing; and (3) other basic transformations, is also proposed. Six variants of the You Only Look Once (YOLO) model are trained as detectors for comparative experiments on a dataset collected at the practical construction site. The experimental results show that the detection precision and recall of the YOLOv5‐s model are 0.852 and 0.922, with high accuracy and low miss rate, which meet the requirements of robustness and accuracy in detecting realistic power construction violations.

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Drug addiction, or substance use disorder, is caused by interference of drugs with how neurons are sent, received or process neurotransmitters to one another. The use of drugs will cause cravings, and this is due to the stimulation of the brain’s reward system. Video game addiction, or Internet gaming disorder (IGD) is a common phenomenon especially in teenagers. The symptom of video game addiction is similar to drug addiction, which is the craving behavior of the patient. To resolve this issue, researchers have come up with many different solutions. One of the possible solutions is applying low frequency of Deep brain stimulation (DBS) and SCH23990 to the patient. This is a type of treatment for drug addictions, and it can only be done to treat video game addiction if proven that video game addiction and drug addiction have the same mechanism and disordered parts of the brain.