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1. TITLE PAGE
SMART INDIA HACKATHON 2024
• Problem Statement ID - SIH1776
• Problem Statement Title - Enhancing Border Security
Operations with AI-Driven Solutions: SmartGuard
• Theme - Smart Automation
• PS Category - Software
• Team ID- 819
• Team Name - DevAstra

2. @SIH Idea submission- Template
IDEA TITLE
2
DevAstra
❖ Problem: Limited real-time threat detection and
resource optimization in border security operations,
especially in remote and harsh terrains.
❖ Solution: AI-powered system enhances surveillance,
automates threat detection, and optimizes resource
allocation, improving situational awareness and decision-
making for ITBP personnel on the India-China border.
Addressing the Problem
Proposed Solution
Our Solution is Enhancing Security Operation with AI-Powered Solutions.
❖ AI-Driven Surveillance & Data Processing:
➢ Real-time data collection from cameras, drones, and satellite feeds.
➢ AI-powered threat detection and anomaly identification.
➢ Seamless integration with existing ITBP systems for data transmission
and analysis.
❖ Predictive Maintenance & Route Optimization:
➢ AI algorithms for predictive maintenance, reducing equipment
downtime.
➢ Optimized patrol routes using geographic data to improve efficiency
and resource allocation.
❖ Intelligent Threat Detection & Automated Alerts & Incident Reporting:
➢ Instant automated alerts when potential threats or anomalies are
detected.
➢ Comprehensive incident reporting with detailed analysis for rapid
decision-making.
❖ Scalable & Adaptable Infrastructure:
➢ Cloud and edge computing for real-time data processing, ensuring
scalability in rugged terrains.
➢ Adaptation to harsh environmental conditions, integrating GIS tools
for terrain analysis.
❖ Real-Time Decision Support:
➢ AI-powered dashboards and Chatbot providing situational awareness
with real-time updates.
➢ Enhanced decision-making through AI-driven resource allocation and
predictive analysis.
❖ Patrol Assistance System:
➢ Continuous assistance during patrols, enhancing situational
awareness.

3. @SIH Idea submission- Template
3
Technologies Used
1. Data Processing:
a. Machine Learning Frameworks: TensorFlow and PyTorch
for predictive modeling.
b. Computer Vision Libraries: OpenCV and YOLO for image
analysis.
c. Predictive Analytics: Scikit-learn for classic algorithms.
Techniques to forecast equipment failures.
2. Route Optimization:
a. GIS Tools: ArcGIS and QGIS for geographic data analysis.
b. Optimization Algorithms: Dijkstra’s and A* for efficient
routing.
c. Leaflet/OpenLayers: Libraries for interactive mapping.
3. Automated Reporting:
a. Dashboard & Visualization: Dash, Streamlit & D3.js for data
visualization.
b. Chatbot Frameworks: Real-time updates and notifications.
4. Cloud and Edge Computing:
a. Cloud Platforms: AWS/Azure, and Google Cloud for scalable
resources.
5. User Interface:
a. Frontend: ReactJS, HTML, CSS (Bootstrap), JavaScript.
b. Backend: Python (Flask/Django), Node.js.
6. Real-Time Communication:
a. Messaging Protocols: MQTT and WebSocket for data
exchange.
b. Push Notifications: Firebase Cloud Messaging for alerts.
7. IoT Integration: IoT Protocols: MQTT, HTTP APIs for connecting
devices.
8. DevOps Tools: Git/GitHub: Version control for collaborative
development.
9. Security and Compliance:
a. OAuth/JWT: User authentication standards.
b. Data Encryption Tools: Securing data using Hashing &
Cryptographic technique
DevAstra TECHNICALAPPROACH
Product Status :- 30% product built completed and further build is in
progress.
Link: linktr.ee/devastra7

4. @SIH Idea submission- Template
FEASIBILITY AND VIABILITY
4
❖ Performance
➢ Challenge: Fast processing of vast surveillance
and sensor data.
➢ Risk: Slow response or system crashes during
high-intensity operations.
❖ Threat Identification Accuracy
➢ Challenge: Detecting genuine threats from
numerous data points.
➢ Risk: False positives or missed threats, leading
to security risks.
❖ Performance Solution
➢ Optimize Processing: Use distributed computing
and scalable databases to handle large data
volumes efficiently.
❖ Threat Identification Solution
➢ AI Fine-Tuning: Regularly update AI models with
real-world data to enhance accuracy in
distinguishing threats.
Potential Challenges and
Risks
Strategies for Overcoming
Challenges
Feasibility
Technical
Data Collection :
Use drones, cameras, sensors,
and satellites for real-time
monitoring.
AI Integration :
Implement machine learning
for threat detection and
predictive maintenance.
Operatio
nal
User Friendly:
Simple interface for ITBP
personnel, quick to adapt.
Scalable:
Expandable to cover more areas
and integrate new sensors and
Technologies.
Economic
al
Cost-Effective:
Initial investment leads to long-
term savings through improved
efficiency
ROI :
Better security reduces
potential breaches, justifying
costs.
High Uptime:
System designed for
consistent performance,
ensuring real-time data flow
with minimal
interruptions.
Reliabili
ty
DevAstra

5. @SIH Idea submission- Template
IMPACT AND BENEFITS
Benefits
1. Increased Safety: Early threat detection reduces risks for
ITBP personnel.
2. Scalable System: Designed for easy adaptation to
different regions and terrains, while also functioning
effectively in rugged conditions and harsh weather to ensure
continuous operation.
3. Efficient Resource Use: Optimized patrols and equipment
management save time and resources.
4. Data-Driven Insights: The system can generate
comprehensive reports and analytics, enabling strategic
planning and informed decision-making based on historical
data and trends.
5. Stronger Security: Better detection and response
enhanced security.
6. Fewer Delays: Automated reporting speeds up incident
handling, improving overall response.
5
1. Faster Threat Detection: AI quickly spots unusual activities
or threats, enabling faster ITBP response.
2. Smarter Patrol Routes: Optimizes patrols, helping officers
cover critical areas efficiently while avoiding tough terrains.
3. Better Equipment Management: Predictive maintenance
prevents breakdowns, keeping vehicles and equipment in top
condition.
4. Real-Time Information: Provides a comprehensive view and
insights that enable commanders to make better, smarter, and
faster decisions.
5. Automated Incident Reporting: Automatically reports
incidents, reducing paperwork and improving coordination.
6. Real-time Assistant: Supports ITBP with immediate
responses to queries, delivers situational updates, helps in
troubleshooting, and assists in system operation.
7. Seamless Integration: Easily integrates with existing ITBP
systems without major disruption.
Impacts
DevAstra

6. @SIH Idea submission- Template
RESEARCH AND REFERENCES
6
Ref
.
No
Author Title Conference/Source Location/
Date
Important Findings
1 Navin Chandra &
Soumya Priyadarshini
Panda
A Human Intruder Detection
System for Restricted Sensitive
Areas
In : 2021 2nd
International
Conference on Range
and Technology (ICORT)
IEEE
Chandipur,
Balasore India
05-06-2021
The safety of the people
involved in the manual
supervision process by visiting
the sites is of major concern
while no prior information is
available on any intruder
already entered that place.
2 Peter J. Stavroulakis Army Patrol Optimization
Methodology to Calculate the
Exact
Route of an Installations
Security Patrol
In : 2012 International
Mathematica
Symposium (IMS)
Athens ,
10-06-2012
Performing discretization of
satellite images and supplying
Mathematica with the security
checkpoints of the patrol with
"FindShortestTour" we can
easily extract the shortest route
for the patrol..
3 Kunal Deo & Rishi
Deedwania
Human Intrusion and Motion
Detection System
In: 2020 International
Journal of Computer
Applications
Mumbai , 28-
06-2020
The working of the PIR sensors
is complex. Because there are
multiple variables affecting the
input and output. The PIR
sensors detect changes in IR
radiations within their FOV
4 Ramyasri. S & Dr. S. G.
Hiremath
Militant Intrusion Detection
using MACHINE LEARNING
In: 2023 International
Research Journal of
Engineering and
Technology (IRJET)
Bangalore , 04-
04-2023
Making a real-time application
using computer vision is found
to be a more efficient and
creative task that needs
DevAstra