This work presents the design and deployment of SindoorBot, an unmanned ground vehicle (UGV) tailored for combat support, real-time hazard detection, and tactical surveillance. The platform integrates an ESP32-based microcontroller network utilizing the ESP-NOW protocol to facilitate low-latency wireless communication, independent of internet infrastructure. The system features a four-wheel-drive chassis, equipped with fire and gas detection sensors, temperature monitoring, live video feed via ESP32-CAM, and a laser diode for simulated engagement. A custom-developed Android application, interfaced through Firebase Realtime Database, enables remote monitoring and control, providing situational awareness and reactive capabilities in real-time. The modular and field-adaptable architecture of SindoorBot renders it suitable for operations in harsh, communication-constrained, and high-risk environments.
Introduction
SindoorBot is a four-wheel-drive unmanned ground vehicle designed for military, border, and hazardous field operations. It integrates real-time surveillance, hazard detection, and remote simulated weapon engagement—all in a low-cost, Wi-Fi-independent platform. It uses ESP-NOW for wireless control and Firebase for mobile alerts.
II. Problem Statement
Key challenges addressed:
High cost of existing tactical robots
Dependence on Wi-Fi or cellular networks
No integrated hazard detection or engagement systems
Delayed threat alerts
Lack of combat simulation in affordable systems
Limited power availability
Complex user interfaces
III. Proposed Solution
SindoorBot offers a modular UGV with the following features:
ESP-NOW-based joystick control (no internet required)
Fire, gas, and smoke detection (flame sensor, MQ-series, DHT11)
ESP32-CAM for real-time video
Firebase-integrated Android app for alerts and laser activation
Rechargeable battery power with external supply support
IV. Key Contributions
Offline wireless control via ESP-NOW
Live environmental alerts (physical + app-based)
Live video streaming from onboard ESP32-CAM
Simulated laser weapon system for tactical training
Modular and user-friendly design
V. Related Work & Novelty
While existing hazard detection and robotic systems focus on static, infrastructure-dependent setups, SindoorBot stands out by:
Being fully mobile and wireless
Integrating multi-modal hazard detection with live feedback
Requiring no Wi-Fi/router/cellular
Offering low-cost combat simulation via a laser diode
VI. System Architecture
Consists of four main subsystems:
Mobility: 4WD chassis + DC motors + L298D driver
Sensing: Flame, gas (MQ), and temp/humidity (DHT11) sensors
Surveillance & Engagement: ESP32-CAM and laser diode
???? Single camera feed; no night vision or multi-angle support
XII. Application Domains
???? Military reconnaissance and surveillance
???? Border monitoring and threat detection
???? Fire/smoke detection in bunkers or tunnels
???? Search and rescue in hazardous zones
???? Industrial hazard detection
???? Academic IoT/robotics research
?? Defense training and simulation
XIII. Future Scope
GPS, LiDAR, and thermal camera integration
AI for autonomous navigation and threat detection
Multi-UGV swarm coordination
Solar charging and improved power efficiency
Rugged/weatherproof chassis for outdoor deployment
Conclusion
SindoorBot exemplifies a low-cost, modular tactical robot offering real-time surveillance, environmental monitoring, and simulated combat engagement. Its offline-capable architecture using ESP-NOW and app-based control makes it a suitable solution for defense, security, and research applications. Future iterations can incorporate GPS, AI path planning, and extended battery systems for enhanced autonomy.