ã€Global Science and Technology Report】 "The use of face recognition and other artificial intelligence technologies to help find lost children has inspired the search work we have conducted in areas of armed conflict." The International Committee of the Red Cross (ICRC) East Asia Regional Office Media Zhang Shuangfeng, the supervisor in charge, said formally on March 3 when he spoke of a recent proposal of the National Committee of the Chinese People's Political Consultative Conference and Baidu founder Li Yanhong. In his view, such technologies can be put into practical use as soon as possible, "helping more people to reunite with their families, I believe this will have a positive effect on global humanitarian action."
CPPCC National Committee member, Baidu founder Li Yanhong
Yesterday, the fifth session of the Twelfth National Committee of the Chinese People's Political Consultative Conference opened. As China’s global influence has been increasingly strengthened, the two sessions are not only national attention but also the world’s attention as an annual political event in China. Governments and international organizations all attach great importance to various development and exchanges of information that have been transmitted from the two sessions. One of Li’s proposals for this year’s CPPCC session: “On the use of artificial intelligence and big data technology to help solve the problem of lost children†has attracted the attention of the ICRC and other agencies.
In the proposal, Li Yanhong pointed out that the problem of child loss is related to the safety and well-being of each family, and in particular, the once more rampant case of trafficking in children is even more concerned by the community and government authorities. Although the case of kidnapping for children in China has shown a situation of “low incidence and high breakage,†there are still cases where it is difficult to detect due to lack of clues. In recent years, artificial intelligence and big data technologies have been continuously improved and applications are maturing, which is expected to further promote the detection of children's lost cases. On the one hand, face recognition can improve the efficiency of image detection and lock in missing children or people involved as soon as possible. On the other hand, face recognition can realize the cross-age comparison of massive face data to help detect children's lost cases.
To this end, Li suggested that the General Office of the State Council take the lead in coordinating key units such as the Ministry of Public Security, the Ministry of Civil Affairs, and other “inter-ministerial joint meetings on action against trafficking in women and childrenâ€, and coordinate corporate and social forces to make use of big data such as face recognition and human resources. Smart technology will further improve the detection efficiency and the detection rate of children's lost cases. Specific suggestions include: establishing a face recognition model that is suitable for searching for lost children; establishing a nationwide database for missing children; combining face recognition technology with public security and traffic monitoring systems.
The practical significance of this proposal and its set of technical application scenarios soon attracted strong media and public repercussions. The International Committee of the Red Cross has also quickly found a point of agreement between the idea of ​​the proposal and the promotion of global humanitarian action.
Zhang Shuangfeng introduced that the ICRC, as a neutral and independent humanitarian organization, has been committed to providing humanitarian protection and assistance to the victims of armed conflicts. We have also been focusing on technologies and innovations that can be used for humanitarian action. We have noticed that Mr. Li Yanhong proposed at the two conferences in China that he proposed to help find missing children through artificial intelligence technologies such as face recognition. This has inspired the search work we have conducted in the armed conflict areas.
In the past few years, the turmoil that originated in the Middle East and North Africa has affected the world. Millions of people have been scattered and persecuted. Even children who are young and young have been separated from their relatives. For those who are suffering deeply, there is nothing more important than finding each other, a family reunion.
“The International Committee of the Red Cross (ICRC) carries out humanitarian operations in more than 80 countries and regions around the world. Finding people is also a very important part of our work. In South Sudan alone, we have helped at least 60,000 people and separated loved ones recover in the past three years. Contact." Zhang Shuangfeng said, "If there is a technology that can effectively improve our work efficiency and help more people get together with their families, I believe this will have a positive effect on global humanitarian action."
Recently, Lin Yuanqing, director of the Baidu Deep Learning Lab (IDL), publicly stated: “Baidu’s face recognition technology has achieved the world’s best in some authoritative test sets. In the near future, we have increased the algorithm technology and used about 2 million people. Nearly 200 million photographs have been used to train our system to extract the relatively stable and subtle features of people's looks, complete the comparison of the human faces with larger age spans and achieve high precision. The face recognition technology we developed can not only identify Chinese ( The faces of yellow people can also identify Caucasians and blacks, although the recognition accuracy of these two species is still slightly worse, but we are making further optimizations. It is believed that it won't take long to reach the same level of recognition as yellow people. Accuracy."
From this point of view, artificial intelligence techniques such as Baidu's face recognition can really be a powerful aid to the humane tracing work that the ICRC is committed to. The relevant proposal of Li Yanhong can be said to be spent inside the wall and outside the wall.
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