From March 6th to 17th, Suzhou Telecom held the 2023 Digital Education Expo, with the theme of "Embracing Digital Transformation, Cloud Enjoying Smart Education". Together with ecological partners, we will promote digital transformation, intelligent upgrading, and integrated innovation in education, and take practical actions to assist in the implementation of the national education digital strategy deployment.

Xie Fei, Deputy Secretary General of Suzhou Municipal People's Government, Zhao Ming, Deputy Director of Suzhou Education Bureau, Zhang Xiaohong, Deputy General Manager of Jiangsu Telecom's Political and Enterprise Department, Shi Lei, General Manager of Suzhou Telecom, as well as leaders and experts from various universities, primary and secondary schools, and the industry in Suzhou were invited to attend the event.

This exhibition comprehensively showcases characteristic application products such as cloud classrooms, AI interactive reading, physics, chemistry and biology laboratories, smart sports, and technical defense campuses, with over 150 educational related scene applications exhibited. Leading companies such as Huawei and iFLYTEK have all made appearances, and Minivision Technology, along with multiple products such as smart visual center platforms and AI edge analysis hosts, participated in the exhibition on site.

1. Smart Vision Hub Platform
A high-performance, high-density intelligent analysis product that integrates video structured analysis, data storage, and data application. In large-scale monitoring scenarios such as smart campuses, intelligent video analysis capabilities can be provided to prevent various potential risks and assist education departments, schools, and others in jointly improving the effectiveness of campus governance.
2. AI Edge Analysis Host
Based on Xiaoshi's self-developed visual analysis algorithm, it can provide applications such as facial/human analysis, behavior analysis, machine object analysis, and population statistics for smart campus and other scenarios. Rich algorithms such as smoking recognition, phone recognition, and running/fighting recognition can be built-in to assist in campus security management.
3. Intelligent IoT application system
As a business system for the integration of IoT devices and application scenarios, it can load security applications, personalized intelligent applications, industry characteristic applications, and other functions for campus and other scenarios. For example, access control, image based applications, video surveillance, vehicle deployment, personnel deployment, attendance management, etc.
4. Face recognition PAD
Relying on deep learning, live body detection, and facial recognition algorithms, it can be equipped with gate machines and access controllers to achieve campus access control, personnel attendance, and other functions. High recognition accuracy and speed, supporting silent live body detection and recognition of wearing obstacles.