From January 11 to 13, 2018, the "14th China Convention and Exhibition economic cooperation forum CEFCO 2018" conference was successfully held in Qingdao, attracting nearly 1000 participants from more than 18 overseas countries and regions. Different from the past, this conference innovatively uses face recognition to sign in and use the "self-service face recognition certificate making machine" and "face recognition conference signing system" jointly built by Baidu AI team and Kunlun Co., Ltd., the official registration service provider of the conference, which not only reduces the time of early certificate making and equipment debugging, but also greatly improves the signing efficiency, It brings a high-level venue service experience to domestic and foreign guests, and is highly recognized by all parties at the meeting.

As early as December 2017, Kunlun shares joined the baidu AI ecological Partnership Program ("Liaoyuan program"), applied Baidu face recognition technology to the leading-edge generation "e-expo" registration system of Kunlun shares, and developed a new generation of supporting hardware "self-service face recognition and certification machine" and "face recognition conference registration system" for the upcoming cefco2018 conference, which are oriented to the on-site audience registration of the exhibition industry.

During the registration period of the conference, the new face recognition venue registration system received unanimous praise from the forum organizers and guests. Based on the mature face recognition technology of Baidu AI, the independent access control system equipment launched by Kunlun Co., Ltd. greatly reduces the time and human investment of traditional manual certificate preparation, and the verification methods are accurate, but it effectively solves the phenomenon of proxy and fake collar in the exhibition. At the same time, the guests only need to face the identification program, and they can brush their faces in 2 seconds to verify. It also takes only 5 seconds from brushing their faces to receiving a complete certificate, which alleviates the queuing situation of previous sessions.

During the next two days of the conference, the independent access control system handled the problem of the verification of the guests' access to the venue, changed the traditional way of manual scanning and registration of the service staff's handheld devices, and gave the guests a better experience. At the same time, the organizer of the forum can also manage data information such as registration and check-in in the background of the system, so as to understand the preferences of guests for different conference contents, which provides an important reference basis for the in-depth development and theme selection of the forum in the future.

"The reason why we cooperate with Baidu AI open platform is that we make an important strategic choice after we have a comprehensive understanding of the existing face recognition market. It is not only because face recognition in the exhibition scene has higher demand and pressure for concurrency and information exchange compared with other access control and security application scenes, but also to improve the efficiency of the traditional registration mode on site and reduce the waiting time of the audience through face recognition." Mr. Fubin, chief technology officer of Kunlun shares, commented on the performance of Baidu AI technology in this conference. Mr. Feng Xiangjun, CEO of Kunlun shares, said after communicating with customers on site, "many customers asked us curiously whether this technology can be applied to their exhibitions faster. When they dispel these doubts with their own personal experience, we believe that the era of intelligent exhibition of human face recognition has arrived."

It is reported that in 2018, baidu AI and Kunlun will continue to deepen cooperation, further strengthen the exploration of both sides' technical cooperation and scene landing, and carry out a larger scale of face recognition applications for super large exhibitions on the basis of existing face recognition cooperation; At the same time, refine the application scope of face recognition, extending from access control to exhibition marketing application scenarios; With the help of the leading position and business accumulation of both sides in their respective fields, we will continue to promote "smart Exhibition" and form a new "new exhibition" mode.

Baidu face venue sign in scheme one-stop service is comprehensive and efficient

Baidu face venue sign in system provides a complete set of solutions for venue sign in based on face recognition, which provides users with complete functions such as conference creation, participant invitation, conference registration, on-site face brushing sign in, participant statistics and management platform, which can be applied to the organization and management of offline conferences and activities, and improve management efficiency and user experience.

The actual operation process of the whole solution is relatively simple and very easy to use. In the early stage, after the conference organizer successfully accesses, it can quickly create projects through the background, customize the form content required for the registration of activities, and publish it online, so that participants can complete online registration and information entry in time; During the conference check-in period, the conference organizer can get a free check-in app, which can complete the check-in operation only by using iPad and other basic equipment. The check-in process supports two modes: face brushing and QR code. After the event, the organizer can manage the registration and check-in and other relevant data information in the background of the system to quickly analyze the registration and check-in of the event. More importantly, Baidu has also API the above solutions, which means that developers who want to develop their own check-in system can realize system development at a very low cost and obtain the free app provided by Baidu as a face brushing tool.