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Object Tracking Real-time object tracking system is a technology used to track objects (from images, videos, and webcam) in real time. It can be used for security purposes or for commercial purposes. Tracking can be done for video formats and live streaming webcam. The real-time object tracking system has many applications, such as in retail stores, airports, stadiums and other places where security is important. The system can be used to monitor customer activity in stores, track inventory and detect shoplifting. It can also be used to increase safety in public places by monitoring the movements of pedestrians or vehicles. Please see below a sample solution kit to jumpstart your solution on Real-time object tracking system. To use this kit to build your own solution, scroll down to the Kit Deployment Instructions sections. Source code included so that you can customize it for your requirement.

Training and Certification - Object Tracking System

Watch this self-guided tutorial on Object Tracking System. This includes an understanding of Python language; an IDE like jupyter or PyCharm to write Python code and essential libraries like OpenCV, PyTorch to build your own Object Tracking System. Completed the training? Apply for your Participation Certificate and Achievement Certificate now! Tag us on social media with a screenshot or video of your working application for a chance to be featured as an Open Source Champion and get a verified badge.

Kit Deployment Instructions

Follow below instructions to deploy and run the solution: 1. Download, extract and double-click kit installer file to install the kit. 2. After successful installation of the kit, press 'Y' to run the kit. 3. To run the kit manually, press 'N' and locate the zip file 'Yolov5_DeepSort_Pytorch'. 5.Open the command prompt in the 'Yolov5_DeepSort_Pytorch' directory and run the command 'jupyter notebook' 6. Locate and open the 'YOLOV5_DEEPSORT_NOTEBOOK.ipynb' notebook from the Jupyter Notebook browser window. 7. Execute cells in the notebook. Note: Demo source code will be downloaded to local machine. It is also available here

Kit Solution Source

Object tracking system created using this kit are added in this section. The solution is available as a package to download from the source code repository.

Development Environment

VSCode and Jupyter Notebook can be used for development and debugging. Jupyter Notebook is a web-based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers.

Object Detection and Tracking

The following libraries have a set of pre-trained models which could be used to identify objects and track them from live streaming videos.

Machine Learning Libraries

The following libraries could be used to create machine learning models which focus on the vision, extraction of data, image processing, and more. Thus making it handy for the users.


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