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VanRakshak
Van Rakshak is an AI-powered forest management and conservation system that combines autonomous drones, real-time analytics, and a unified command dashboard. From early fire detection and suppression to wildlife tracking and tranquilisation, Van Rakshak empowers forest departments and conservation agencies to act faster, safer, and smarter.
From Sky to Ground — Complete Forest Intelligence.
System Architecture
Integrated workflow from surveillance to action through cloud intelligence
Surveillance Drone Initiates Patrol
Automated patrol mission initiated through dashboard interface
Live Feed to Cloud Processing
Real-time video stream transmitted to cloud backend for AI-based analysis
AI Detection & Analysis
Backend identifies fire, wildlife activity, or threats in real-time using deep learning models
Dashboard Visualization
Processed data displayed on interactive dashboard with GPS coordinates and event markers
Mission Command
User marks intervention locations; backend commands payload/firefighting drone
Ground Team Coordination
Live analytics enable coordinated response between aerial and ground teams
Integrated Firefighting Mission
For maximum impact, Van Rakshak's surveillance and Payload Delivery drones work together as a unified system. Fires are detected early, precisely localized using surveillance drone, and extinguished autonomously using Payload Delivery Drone with option for manual intervention at each stage.
Real-time monitoring linked with automated suppression
Cloud-based AI identifies fire zones instantly
Coordinated drone operation ensures fast action
Manual override available at each stage of operation
Scalable deployment for forests, reserves, and disaster zones
Seamless coordination enhances safety and efficiency
Wildlife Management & Tranquilisation
Van Rakshak's advanced drone system is equipped with precision-guided tranquilisation darts, allowing forest and wildlife teams to safely and effectively manage animals in remote or sensitive areas. With GPS tracking and real-time video monitoring, the drone can autonomously approach the animal, fire the dart with accuracy, and deliver necessary treatment without risking stress or harm.
AI & GPS-Guided Targeting
Accurate tranquilisation with precision dart-firing mechanism
Real-Time Monitoring
Thermal and optical sensors assess animal condition continuously
Safe Intervention
Humane approach without disturbing natural habitat
Medical Treatment
Enable tagging, treatment, or relocation without ground intervention
Stress Minimization
Reduce stress and potential injury during management procedures
Staff Safety
Ensure personnel safety by reducing need for close contact
Conservation Support
Support research and population control programs
Conflict Reduction
Minimize human-animal conflict through proactive management
Real-Time Analytics and Decision Support
Intelligence at every pixel powered by edge AI and cloud connectivity
Real-Time Detection (RGB + Thermal)
24/7 monitoring with RGB cameras and thermal sensors to detect animals, humans, and vehicles under any weather or lighting condition
AI Segmentation & Object Recognition
Deep learning models classify species, humans, vehicles, vegetation, and water bodies, improving accuracy with patrol feedback
GPS Tagging & GIS Integration
Geo-tags detected objects and events in real time, generating heatmaps, migration patterns, and integrating with GIS for conservation planning
Interactive Live Dashboard
Annotated video streams with GPS details, event timestamps, and metadata; allows hover info, filtering, alerts, and full drone control
Drone Mission Planning
Plan missions, set patrol routes, assign tasks, schedule surveillance, and control drones remotely via dashboard for targeted responses
Edge Processing with NVIDIA GPUs
Onboard AI ensures low-latency detection, habitat mapping, and emergency alerts without heavy cloud dependency, optimizing bandwidth
RESTful API Integration
Connects analytics with patrol management, emergency response, and research platforms; automates alerts, workflows, and data sharing
Data Security & Compliance
Encryption, role-based access, audit logs, and failover systems ensure data integrity and compliance with government protocols
Implementation Roadmap
Pilot Deployment
0–6 months
- •Deploy surveillance drones and firefighting drones
- •Establish cloud dashboard and communication backbone
- •Demonstrate animal surveillance, firefighting, payload delivery
- •GPS-guided tranquilisation capabilities
Expanded Deployment
6–12 months
- •Full payload support implementation
- •Integrate satellite feeds and ranger mobile data
- •Onboard training sessions for forest personnel
- •System optimization based on field feedback
Full Operationalization
12–18 months
- •24×7 automated surveillance and disaster response
- •Maintenance contracts and support infrastructure
- •Data-driven conservation planning and reporting
- •Long-term monitoring and analytics programs
Value Proposition & ROI
Rapid Detection
Early fire alerts and distressed wildlife detection minimize forest damage and loss of animal life
Manpower Efficiency
Automated 24×7 drone surveillance reduces patrol costs and optimizes field staff deployment
Actionable Intelligence
Integrated dashboard offers real-time data and analytics for conservation planning and policy-making
Tourism & Community Safety
Faster alerts prevent human–animal conflict, improving eco-tourism and farmer security
Return on Investment
Cuts long-term disaster costs, enhances operational efficiency, and supports funding through data-driven conservation
Technical Specifications
Platform
| Weight (with battery) | 2.5 kg |
| Max Takeoff Weight | 3.5 kg |
| Max Diagonal Wheelbase | 690 mm |
| Hovering Endurance (max weight) | 25 mins |
| Hovering Endurance (light load) | 40 mins |
| Max Flight Distance | 12 km |
| Operating Temperature | 0° to 45° C |
| Flight Ceiling | Tested at 3300m AGL |
Navigation
| GNSS Systems | GPS, GLONASS, Galileo, BeiDou, RTK (Optional) |
| Positioning Accuracy (with RTK) | 2 cm |
| Positioning Accuracy (w/o RTK) | 1.5 - 2.5 m |
| Max Horizontal Speed | 10 m/s |
| Max Ascent/Descent Speed | 5 m/s |
Propulsion & Power
| Rotor Quantity | 6 |
| Max Motor Power | 220 W |
| Propeller Material | Carbon fiber |
| Propeller Diameter | 310 mm |
| Battery Capacity | 12000 mAh |
| Battery Voltage | 22.2V |
| Battery Type | LiPo/Li-ion |
| Energy | 266 Wh |
Control & Software
| Controller Type | RM Zorro |
| Operating Frequency | 2.4GHz-2.48GHz |
| Screen | 7-inch display |
| Ground Control Software | QGroundControl, Mission Planner |
| SDK Availability | ROS, MAVSDK, Python APIs |
| Safety Features | Return-to-Home, Geofencing, Altitude Limits |
End-to-End Forest Management
Powered by AI, Drones & Cloud for comprehensive conservation
Integrated Wildlife Health Monitoring
Advanced Habitat Mapping & Regeneration
Weather & Climate Monitoring
Human–Wildlife Conflict Prevention Tools
Biodiversity Analytics
Resource Management
Forest Law Enforcement Support
Community Engagement Platform
Integrated Financial & Grant Tracking
Drone Fleet Coordination
AI-Powered Research Tools
Smart Permitting & Compliance Management
Related Solutions
Van Rakshak is part of Simhatel's comprehensive AI-powered innovation ecosystem
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