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Tensorflow.js Real-time Object Recognition

This project is created while I was attending the Sydney | Hong Kong Ideation Exchange Program partnered between HKUST and the Macquarie University. The topic is about how to make the transportation, specifically the metro system, more sustainable in Sydney and Hong Kong according to the UN Sustainable Development Goals.

Our idea was to provide a platform for the metro company to incorporate camera vision technology to their surveillance cameras already existing in the stations, to more effectively synchronize the trains between stations to minimize the waiting times for passengers. Very often, passengers have to wait for a long period of time for the next train to come in transfer stations, and we firmly believe this issue can be avoided if the trains are synchronized correctly utilizing the real-time data of number of passengers on each train platform. Thus, we propose a solution to live count the number of people using object detection and provide easy visualization of the real-time data on graphs.

Screenshot

The working demo is hosted on codesandbox: https://pbyte.codesandbox.io/

Feel free to play around with it! :)