Design and Development of Vision Based Smart System via Human Tracking for Indoor Environment

This project aims to develop a vision-based smart system based on the detection of humans and their motion. The system will use a camera mounted on R-pi to capture the images and apply image processing techniques to extract useful information like the presence of a human or its movement. The scope o

2025-06-28 16:26:19 - Adil Khan

Project Title

Design and Development of Vision Based Smart System via Human Tracking for Indoor Environment

Project Area of Specialization Artificial IntelligenceProject Summary

This project aims to develop a vision-based smart system based on the detection of humans and their motion. The system will use a camera mounted on R-pi to capture the images and apply image processing techniques to extract useful information like the presence of a human or its movement. The scope of this project is not only limited to the identification of humans and various objects but also to distinguish between a friend & foe i.e. Identification of Friend and Foe (IFF). Moreover, the system would be capable to automate energy utilization as well.

Project Objectives

Our objective is to develop a human detection system to limit the power consumption and monitor low mobility persons. Therefore, within this framework, we propose a system which has sufficiently robust performances to be usable in uncontrolled environments, the system must be easily tunable and embeddable. In other words, the system must be an optimal compromise between false detection rate and algorithmic complexity.

Project Implementation Method

The methodology to obtain our desire task is as follow:

Benefits of the Project Technical Details of Final Deliverable

Our project consists of raspberry pie 4, camera, relay, electrical appliances.

Final Deliverable of the Project Hardware SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 39500
Raspberry pi 4 Equipment13200032000
camera Equipment115001500
Keyboard Equipment1500500
Mouse Equipment1500500
Memory card Equipment210002000
Charger Equipment1500500
relay board Equipment1500500
Printing documents Miscellaneous 120002000

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