Mini project ppt template for panimalar Engineering college
- 1. Title Team Details: Names:SRIRAM R / 211421104265 Batch Number:Domain: Guide Name & Designation Coordinator Name & Designation Dr.A.Hemlathadhevi Professor Date:
- 2. SDGs and TARGETs 1.Primary Goal No: 11 - Sustainable Cities and Communities •Target 1: Enhance resilience to disasters in coastal cities with NavyGuard Pro. •Target 2: Reduce maritime disaster impacts on ecosystems through advanced safety technologies. •Target 3: Implement integrated policies for safer and sustainable water transport (SDG 11.b). 2.Secondary Goal No: 13 - Climate Action •Target 1: Strengthen resilience to climate hazards using NavyGuard Pro during extreme weather. •Target 2: Integrate climate change measures into maritime safety policies and planning. •Target 3: Improve awareness and capacity for climate mitigation and emergency alert systems. 3.Tertiary Goal No: 9 - Industry, Innovation, and Infrastructure •Target 1: Develop resilient maritime infrastructure using NavyGuard Pro for safety. •Target 2: Upgrade marine industry technology for emergency responses and navigation. •Target 3: Expand access to ICT and safety systems for efficient maritime transport.
- 3. Problem Statement • Maritime operations face challenges in effectively locating sea-farers who go overboard, particularly during night-time or in adverse conditions like the monsoon season • This creates a serious safety issue, as tracking individuals in these situations is difficult. • There is an urgent need for an advanced, real-time tracking solution that not only enhances the detection and location of overboard personnel but also ensures timely responses during emergencies. • This limitation underscores the need for an innovative solution to improve the safety and effectiveness of search and rescue (SAR) operations. • Therefore, a solution is needed to enable efficient electronic monitoring of personnel movement on weather decks, especially in challenging conditions
- 4. Abstract Current search and rescue (SAR) methods in maritime environments are reliant on manual techniques, which are slow and risky, especially in low-visibility conditions or extreme weather such as monsoon. A real-time personnel tracking system is introduced to address these challenges, featuring a wearable band equipped with GPS tracking, an ECG sensor, and a NodeMCU microcontroller. Technology Utilized: NodeMCU: Used for communication and data processing. Websockets: Enables real-time data exchange. GPS Tracking: Monitors the location of personnel. ECG Sensor: Tracks the health status of individuals. The system analyzes variations in the distance between the wearable band and the ship’s NodeMCU, allowing it to predict potential overboard situations.
- 5. Research and Literature Review 1. (TITLE AND JOURNAL) YEAR Aspect Details Author P. S. B. Macheso et al. Summary An IoT-based temperature monitoring system using NodeMCU, MQTT, DS18B20 sensor, and Node-RED dashboard. Proposes enhancements with more sensors and renewable energy sources. Relevance Demonstrates IoT for monitoring but lacks multi-parameter tracking essential for maritime operations. Gaps No integration with health monitoring or predictive analysis; lacks optimization for maritime environments. Impact Enhances with GPS, ECG monitoring, and predictive analysis for improved safety in hazardous conditions.
- 6. Research and Literature Review 2. Robotic Car Using NodeMCU ESP8266 Wi-Fi Module Aspect Details Author S. G. K. et al. Summary A Wi-Fi-controlled robotic car for real-time surveillance using NodeMCU, ESP32 Cam Module, and L298N Motor Driver. Proposes alternative communication methods for adaptability. Relevance Demonstrates NodeMCU's potential for IoT systems and real-time communication, aligning with the project's requirements for reliable communication and feedback. Gaps Lacks functionalities for personnel tracking, health monitoring, and adaptation to extreme environments like maritime scenarios. No integration with predictive alert mechanisms. Impact Incorporates GPS tracking, ECG monitoring, and predictive analytics to enhance safety and efficiency in maritime SAR operations, extending the robotic car's capabilities.
- 7. Research and Literature Review 3. Exploring Variable Speed Control Using Leap Motion: An Integration of Finger Gestures, L298N, and NodeMCU ESP8266 for Wireless Communication Aspect Details Author D. D. Abuan et al. Summary A study exploring gesture-based motor control using Leap Motion, NodeMCU, and L298N Motor Driver. Uses PWM for motor speed control and emphasizes improved user interaction. Relevance Demonstrates NodeMCU's capability for wireless communication and real-time data transfer, relevant for personnel tracking with real-time feedback. Gaps Focuses on motor control, lacking health and location tracking features. Impact The project builds on NodeMCU's wireless communication, adding GPS and ECG monitoring for maritime SAR operations. It focuses on location and health tracking in extreme conditions.
- 8. Research and Literature Review 4. Implementation of Distributed Consensus Algorithms for Wireless Sensor Network Using NodeMCU ESP8266 Aspect Details Author G. Suprianto and Wirawan Summary Focuses on distributed consensus algorithms in WSNs using NodeMCU ESP8266, enabling reliable data exchange and decision-making across network nodes. Relevance Demonstrates NodeMCU's capabilities in processing data from multiple sources, relevant for integrating real-time data from GPS and health sensors in the proposed personnel tracking system. Gaps Lacks application-specific features like health and location tracking, and does not address environmental challenges such as maritime conditions. Impact Inspires the use of reliable communication and synchronization in the proposed system, extending its functionality to include GPS, ECG monitoring, and maritime safety for SAR operations.
- 9. Research and Literature Review 5. Prototype of Group Heart Rate Monitoring with NODEMCU ESP8266 Aspect Details Authors A. Škraba, A. Koložvari, D. Kofjač, R. Stojanović, V. Stanovov, and E. Semenkin Summary Presents a real-time heart rate monitoring prototype using NodeMCU ESP8266 and PPG sensors, connected via WebSocket, Node.js, and JavaScript, displayed on a unified GUI. Relevance Demonstrates real-time health monitoring, aligning with the proposed project's goal of ECG monitoring for personnel safety in maritime applications. Gaps Lacks integration with location tracking (GPS) and does not address environmental challenges like water resistance or communication in maritime conditions. Impact Enhances the proposed project by adding GPS tracking and predictive analytics, extending health monitoring capabilities for SAR operations in maritime environments.
- 10. Product Architecture and Design/ Block Diagram
- 12. Module Description/ Component Specifications Wearable Band: Equipped with ECG, temperature sensors (DHT11, LM35), GPS, and NodeMCU (ESP32). Onboard System: NodeMCU with a dashboard for real-time sailor health and location monitoring. Data Collection: ECG sensor tracks heart rate. Temperature sensors monitor body and environment. GPS collects location data. Data Processing: Arduino and NodeMCU analyze health (ECG/temperature) and track sailor-to-ship distance. SOS triggers if abnormal health or sudden distance increases are detected. Transmission: Wearable sends data via Wi-Fi to the onboard NodeMCU. Data is uploaded to the cloud for centralized tracking. Real-Time Alerts: Dashboard displays health/location data. SOS alerts triggered manually or automatically sent to rescue teams.
- 13. Justification for POSITIVE Enhanced Safety: The system improves safety by providing real-time health and location tracking, enabling quicker and more effective responses during emergencies. Cost-Effective Solution: By utilizing low-cost IoT technologies like NodeMCU ESP8266, the project delivers an affordable safety enhancement for maritime operations. Reliability in Harsh Environments: Designed for challenging maritime conditions, the system emphasizes robust communication and durability. Alignment with SDGs: Supports the United Nations Sustainable Development Goals (SDGs), particularly Goal 13 (Climate Action) by ensuring robust safety measures in changing and extreme maritime conditions, and Goal 11 (Sustainable Cities and Communities) by enhancing resilience and safety for communities reliant on maritime operations. Life-Saving Potential: Quickly detects health issues and accidents, allowing for faster rescue and medical help to save lives. Technological Integration: Uses GPS, heart monitoring, and smart analysis to improve safety at sea.
- 18. Project Showcase and Future Steps Project Showcase • System Features: Real-time GPS tracking, ECG health monitoring, and predictive alerts for maritime safety. • Demonstration: Live prototype showcasing tracking, health alerts, and data visualization. • Technological Highlights: IoT integration (NodeMCU ESP8266), wireless real-time data, and dashboard interface. • Use Cases: Search and Rescue (SAR) operations, emergency maritime response. Future Steps • Enhancements: Add more sensors and weather monitoring. • Scalability: Optimize for large-scale maritime operations. • Collaboration: Partner with maritime and SAR organizations.
- 19. Project Budget Hardware Development Wearable Band Materials: $70 per unit × 150 units = $10,500 Ship Node MCU Units: $300 per unit × 5 ships = $1,500 Prototyping Tools: Essential tools and USBL simulators = $2,000 Software Development Firmware & Algorithms: Optimized tracking and health monitoring = $7,000 Mobile/PC Application: Simplified real-time tracking app = $3,000 USBL Integration Software: Lightweight underwater positioning algorithms = $5,000 Testing and Debugging: Offshore and simulated testing = $3,000 Personnel Costs Engineers & Developers: 3 specialists for 3 months = $20,000 Testing Team: 2 testers for 2 months = $5,000 Production and Marketing Manufacturing Setup: Small-scale production and QC = $3,000 Marketing & Branding: Targeted campaigns = $5,000 Shipping & Logistics: Delivery of components and prototypes = $2,000 Miscellaneous
- 20. Conclusion The proposed personnel tracking and health monitoring system uses IoT technologies like NodeMCU ESP32, GPS tracking, and ECG monitoring. It ensures personnel safety in maritime search and rescue (SAR) operations by integrating real-time health data and location tracking. The system allows early detection of potential hazards, such as overboard incidents. It addresses challenges in harsh environments by ensuring reliable communication and data transfer. Predictive analytics improve response times and operational efficiency. The system provides a specialized, life-critical solution for enhancing safety and efficiency in maritime SAR operations.
- 21. Reference 1.P. S. B. Macheso, T. D. Manda, A. G. Meela, J. S. Mlatho, G. T. Taulo and J. C. Phiri, "Industrial Temperature Monitor Based on NodeMCU ESP8266, MQTT and Node-RED," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2021, pp. 740-743, doi: 10.1109/ICAC3N53548.2021.9725469. 2 .S. G K, R. K. Patel, S. Maitra, S. Bhattacharya, S. Moosa and P. Pavan, "Robotic Car Using NodeMCU ESP8266 Wi-Fi Module," 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2023, pp. 1439-1443, doi: 10.1109/ICACCS57279.2023.10113098 3.D. D. Abuan et al., "Exploring Variable Speed Control Using Leap Motion: An Integration Finger Gestures, L298N, and NodeMCU ESP8266 for Wireless Communication," 2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Coron, Palawan, Philippines, 2023, pp. 1-4, doi: 10.1109/HNICEM60674.2023.10589246. 4.G. Suprianto and Wirawan, "Implementation of Distributed Consensus Algorithms for Wireless Sensor Network Using NodeMCU ESP8266," 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), Batu, Indonesia, 2018, pp. 192-196, doi: 10.1109/EECCIS.2018.8692952. 5.A. Škraba, A. Koložvari, D. Kofjač, R. Stojanović, V. Stanovov and E. Semenkin, "Prototype of group heart rate monitoring with NODEMCU ESP8266," 2017 6th Mediterranean Conference on Embedded Computing (MECO), Bar, Montenegro, 2017, pp. 1-4, doi: 10.1109/MECO.2017.7977151.
- 23. Competition/ Funding ● Hackathon Participation- (SIH, NIRAL) -No ● Project based Competition- Participation ● Academic level International level participation- No ● Proposal submission - Submitted
- 24. Startup & Entrepreneurship ● Startup Registered- No ● Incubation Support- Yes ● IDEX proposal Submitted- Yes ● Yukthi Portal Registered - No
- 25. Proof All projects must target in the form of • academic/industrial indexing/Competitions: • Patent • Research Paper • Product / Prototype • Consultancy Outcome • Project Proposal for Funding • Hackathons / Project Competitions
- 26. Proof Proposal submission –Intel AI Hackathon
- 27. Proof Proposal submission – MAIL
- 28. Thank You