Well, 'sex inspection fanfic' is a rather odd term. It could be that it's a fanfic that focuses on the exploration of sexual identity or the examination of sexual differences in a fictional story. Maybe it's about a society in the fictional world where such inspections are a part of the culture, and the fanfic delves into the implications and stories that come out of that.
Appropriateness of sex inspection fanfic is very subjective. Some might see it as a valid form of exploring fictional concepts around gender and sex, as long as it adheres to basic ethical and moral standards. But many will find it inappropriate if it contains any form of sexual exploitation or offensive portrayal of gender - related issues. Fanfiction communities usually have their own guidelines to help determine what is acceptable.
The first Director of the Inspection Council during the Qing years was Ye Qingmei, the second Director was Chen Pingping, and the third Director was Fan Xian.
The Qingyu annual inspection referred to the series of examinations and investigations that Fan Xian, one of the main characters in the TV series " Celebrating Years," conducted at the Inspection Council. The Inspection Council was the Qing Emperor's secret service agency. It was responsible for supervising the officials and protecting the Emperor's rule. According to the descriptions in the novels and dramas, there were eight divisions under the Inspection Court, each responsible for different monitoring and intelligence work. One of them was the most important department of the Inspection Court. It was responsible for monitoring the officials in the capital and placing spies in the various key departments. As a member of the Inspection Council, Fan Xian participated in the process of Qingyu's annual inspection. The specific plot and results of the Qingyu annual inspection required reading novels or watching dramas to obtain more information.
The commissioner of the Inspection Court was an official position in the Inspection Court, which was equivalent to the duties and authority of the modern local court and the judicial department (bureau). The commissioner was the chief officer of the Criminal Division. In the play "Celebrating Years," Fan Xian obtained the identity of Commissioner and the waist token of the Director of the Inspection Council, Chen Pingping.
In " Celebrating Years," the Commissioner of the Inspection Department was a position in the Inspection Department, equivalent to the existence of the Vice Director. The commissioner's authority was no less than the four leaders of the Inspectorate. He could be considered the second director of the Inspectorate. Having the corresponding token was equivalent to having the corresponding rights. The position of commissioner was an unassuming one. Only two people had held it before. They were Ye Qingmei's servant Wu Zhu and Fan Xian. The commissioner's power depended on the authorization of the Overwatch Council Director.
The Inspectorate was a special agency responsible for surveillance, investigation, and intelligence gathering. It was the eyes and ears of the country, directly under the orders of the emperor and not restricted by other institutions. The responsibilities of the Inspectorate included monitoring the royal family, supervising officials, investigating civilians and social movements, collecting intelligence on other countries, and subverting the regime. In the novel, the Inspectorate had eight divisions, each with different functions, including supervising the officials in the capital, intelligence analysis, drug manufacturing and weapon development, monitoring officials and intelligence outside the capital, personal protection, assassination, criminal investigation, and managing the cultural bureau. In general, the Inspection Court was the emperor's secret service, responsible for protecting the imperial power, fighting crime, and maintaining social order.
Since we only have the title 'the inspection real story', it could be about any inspection at all. It might be a true account of an inspection carried out by an official or a team. It could focus on the events leading up to the inspection, what actually happened during the inspection, and the consequences or outcomes of the inspection. Maybe it's about an environmental inspection of a polluting factory, where the inspectors measure the levels of pollutants and take action based on what they find. Or it could be about a vehicle inspection, with details about the mechanical checks and whether the vehicle passed or failed.
I'm not sure specifically as I haven't read it. It could be about an inspection in various fields like a building inspection, a factory inspection or a quality control inspection in a company.
Well, without reading the actual story, it could be an inspection of a building. Maybe the main character is an inspector checking for structural problems or something like that.
The AI vision inspection software was an industrial vision software platform based on deep learning. It could be applied to a variety of industrial scenarios to solve the problems of locating and identifying complex defects, classification and grading, and character recognition. This software had strong compatibility and built-in application modules. It could help users quickly build and iterate models without programming, meet the needs of different business scenarios, and help the industrial intelligence upgrade. The core function modules of the AI vision detection software included positioning, separation, detection, and classification, as well as the character recognition toolbox. By learning to identify the differences between the image and the normal sample, the AI visual inspection software can identify the defects in the defective map and provide a solution for industrial defect detection. In addition, there were similar industrial vision inspection software provided by other manufacturers, such as AIDI version 2.3 from Aqiu Technology, AI vision inspection system from Eastern Intelligence Tianshu, AI+ vision inspection software from Daming Robotics, VisionBank AI, etc. These software platforms all used deep learning technology and had different functions and advantages. They could help users achieve smart manufacturing upgrades, improve product quality, and reduce testing costs.