GAAPSF Donated Face Recognition Smart Access Control Machine To Qilu University (Shandong Academy Of Sciences)

On the morning of March 12, on behalf of the GAAPSF, Mr. Ma Wencai, General Secretary of GAAPSF, donated face recognition intelligent access control machines to Qilu University (Shandong Academy of Sciences) in order to help the university to prevent and control the new coronavirus epidemic. Liu Yongbo, deputy party secretary, attended the donation ceremony and spoke. Relevant members of the epidemic prevention and control leading group of the university (academy) also attended the ceremony.

On behalf of the university (academy), Liu Yongbo expressed his gratitude to the GAAPSF. He pointed out that Qilu University (Shandong Academy of Sciences) and the GAAPSF have a deep source and good basis of cooperation. Over the years, the two parties have carried out a series of fruitful cooperations in sports talent trainings, academic researches, sports cultural exchanges, event organization and promotion and sports industry development, and have achieved fruitful cooperation results. During the critical period of fighting against the new coronavirus epidemic, the GAAPSF paid great attention and consideration on the prevention and control of the epidemic situation in the university (academy). Knowing that there is a shortage of intelligent access control machines in the market, the GAAPSF had contacted many sources and purchased many sets of face recognition intelligent access control machines to donate to the university (academy), providing a powerful guarantee for the preparatory work before the restart of activities of the university, and for the fighting against epidemic. The university (academy) promised to make good use of those materials in order to ensure that the above charity act will get the best results.

The face recognition intelligent access control machine is linked to the large database of the network information center. After start, it will automatically complete the identification and temperature detection of personnel entering and leaving the campus or building, without the need of manual registration, information verification and other related processes, and ensure therefore the accuracy of the collection, which has greatly improved the efficiency of epidemic prevention and control.