Shentong Sports Sunshine Run

Contactless records of every run, precise insights into every step of growth

AI visual recognition
Contactless records
Student identification
Route and mileage checks
Automatic pace calculation
Open data services

Shentong Sports Sunshine Run campus exercise scene

Solution overview

The Shentong Sports Sunshine Run Solution uses AI visual recognition, proprietary algorithms, and edge intelligence analytics. Multiple contactless recognition points installed along the track automatically identify the time and order in which students pass each point, confirming identity, validating routes, accumulating mileage, and calculating pace to provide contactless running records.

Solution architecture

Solution advantages

Accurate algorithms for large-scale group running

Powered by DeepGlint’s proprietary face recognition and clustering algorithms, the solution uses multi-frame selection, spatiotemporal association, dynamic face libraries, and multi-level recognition to reliably identify students in complex conditions such as parallel running, profile views, occlusion, and high-density formation running, meeting the needs of large-scale group running.

Contactless throughout, stable night running

Students can complete identity recognition and exercise recording without carrying a phone, wristband, RFID tag, or timing chip, and without scanning a code or swiping a card. Optional low-light cameras and supplementary lighting cover morning runs, daytime exercise, and night running for all-day operation.

Intelligent compensation for complete exercise data

When head turns, profile views, partial occlusion, or overlapping runners cause missed recognition, the system can use actual checkpoint data, exercise routes, and mainstream class data for intelligent compensation, reducing fragmented records and missing mileage to make results more complete and reliable.

Open architecture for easy integration and data sharing

Standardized interfaces and open data services connect student, class, task, exercise record, and statistical result data with third-party systems. The solution integrates easily with smart campus, smart education, sports management, and student development evaluation platforms, reducing duplicate construction and supporting system integration and data sharing across projects.

Solution value

For students

No additional equipment needs to be carried or operated, lowering the barrier to participation. Personal mileage, time, and pace are generated automatically after each run. Visualized data and rankings increase engagement, while a continuously accumulated personal exercise profile makes changes in activity easy to see.

For teachers

Manual roll calls, lap counting, timing, and result summaries become automated. Teachers no longer need to record students one by one during large-scale simultaneous running. They can quickly review class participation, abnormal records, and task completion, while automatic data exports reduce repetitive entry and spreadsheet organization.

For administrators

Administrators can understand daily exercise participation across grades, classes, and individual students. Sunshine sports programs move from simply having taken place to being measurable, evaluable, and traceable. The data supports PE evaluation, physical health management, and comprehensive student development assessment, while integration with management and existing smart campus systems reduces information silos.