Person detection and tracking system in crowd environment from live video using deep learning

The goal of this project is to identify and detect human faces in a live video with their names. A set of multiple images will be provided for this purpose. Also if any unknown person identified, It will alarm all the users on the mobile application

2025-06-28 16:28:46 - Adil Khan

Project Title

Person detection and tracking system in crowd environment from live video using deep learning

Project Area of Specialization Artificial IntelligenceProject Summary

The goal of this project is to identify and detect human faces in a live video with their names. A set of multiple images will be provided for this purpose. Also if any unknown person identified, It will alarm all the users on the mobile application

Project Objectives

Our Objective is to design a machine learning model which efficiently and smartly recognize the person in crowd and also identify if any unknown person is in the crowd. 

Project Implementation Method

We will implement our project through waterfall model.

The 4 Phases to create a complete project on Face Recognition, we must work on 4 very distinct phases: 

  1. Data Gathering
  2. Train the Recognizer 
  3. Mobile App development in which we alarm user if any unkown person identified. 
Benefits of the Project
  1. No need of any person to keep an eye for unknown person in restricted area.
  2. No Trust issues since everything will be fully monitored by Artificial Intelligence.
  3. Comparatively inexpensive because of the reduction of amount to that person
Technical Details of Final Deliverable

The Final deliverable will be one camera which smartly identifies the person and show the name on the screen, and a mobile Application in which user will get Alarm if any unknown person identified in camera.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and Infrastructure, Life on LandRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 72000
IPC-HDW2531T-AS-S2 Equipment12000020000
Raspberry Pi 4 4GB RAM Equipment13500035000
HP 3WL49AA Equipment11500015000
Miscellaneous Items Miscellaneous 120002000

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