Landmines Detection Robotic Vehicle Using Deep Learning

this project demonstrate the problem and effects of Landmines In Defense Field.We are proposing a vehicle that has the aptitude to detect landminesand lets user can control the vehicle Manually to avoid casualties.We will use the technique for the detection of buried Landmineswith thermal infrared I

2025-06-28 16:33:57 - Adil Khan

Project Title

Landmines Detection Robotic Vehicle Using Deep Learning

Project Area of Specialization Artificial IntelligenceProject Summary

this project demonstrate the problem and effects of Landmines In Defense Field.We are proposing a vehicle that has the aptitude to detect landminesand lets user can control the vehicle Manually to avoid casualties.We will use the technique for the detection of buried Landmineswith thermal infrared Imaging. In this project we will focus on the safety of humans using deep learning.In deep Learning a computer Model leran to perform classifictions usnig deep learning directly images taken from camera using Mask Region Based Convolutional Network(Mask-RCNN) method for buried Landmines Detection.When the object is detected on or below the surface of earth our intelligent system will detect mines by taking images using cameras.

Project Objectives

The objectives are:

1-A landmines detection  vehicle is needed to be design to employ in peace support operations.

2- To clear dangerous Areas 

3-For the safety of operator .

Project Implementation Method

Thermography method it has the ability to detect Land Mines which are buried underground.Then we will apply Mask Rcnn lgorithm to detect ithe images.by comparing it from Dataset.

Benefits of the Project

Benefits are:

1:for the safety Of people

2:For Armed services

3:Line of control

4:Patrolling in Dangerous Areas.

Technical Details of Final Deliverable

Our project will be completed at the end of june so far we have build a vehicle .and we  have completed the Fast RcNN to detect the images taken from camera after that we are going to implement Mask RCNN gfor the bounding box of imges.

Final Deliverable of the Project HW/SW integrated systemType of Industry Security Technologies Artificial Intelligence(AI)Sustainable Development Goals Decent Work and Economic GrowthRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 48400
Thermal Camera Equipment170007000
RGB Camera Equipment110001000
Chasis Of Vehicle Equipment111001100
RaspberryPi Equipment165006500
GPU Equipment13200032000
DC Batteries Equipment4200800

More Posts