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
Project Title
Person detection and tracking system in crowd environment from live video using deep learning
Project Area of Specialization
Project 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:
- Data Gathering
- Train the Recognizer
- Mobile App development in which we alarm user if any unkown person identified.
Benefits of the Project
- No need of any person to keep an eye for unknown person in restricted area.
- No Trust issues since everything will be fully monitored by Artificial Intelligence.
- 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
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| IPC-HDW2531T-AS-S2 | Equipment | 1 | 20000 | 20000 |
| Raspberry Pi 4 4GB RAM | Equipment | 1 | 35000 | 35000 |
| HP 3WL49AA | Equipment | 1 | 15000 | 15000 |
| Miscellaneous Items | Miscellaneous | 1 | 2000 | 2000 |
| Total in (Rs) | 72000 |
If you need this project, please contact me on contact@adikhanofficial.com
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