elephant sihAI and IoT Powered Intelligent System for Real Time Elephant Movement Detection and Prevention of Human-Elephant Conflict (HEC) in Chhattisgarh State.pptx

A sih valid ppt on the ps no. 25167

1. Problem Statement ID – 25 167 Problem Statement Title- AI and IoT Powered Intelligent System for Real Time Elephant Movement Detection and Prevention of Human-Elephant Conflict (HEC) in Chhattisgarh State . Theme - Smart automation PS Category - Hardware Team ID- Team Name (Registered on portal) SMART INDIA HACKATHON 2025

2. How it addresses the problem: It replaces ineffective manual methods with a 24/7 automated surveillance system. It provides real-time, hyperlocal alerts, giving villagers crucial time to take safety measures. It uses AI for high accuracy, reducing the panic and fatigue caused by false alarms from traditional systems. Innovation and Uniqueness: Sensor Fusion: Combines thermal, acoustic, and motion data for near- foolproof detection accuracy. Edge Computing: All critical processing happens on- site, ensuring the system works even without the internet and has an instant response time. Predictive Analytics: The central dashboard uses collected data to run ML algorithms, predicting future elephant migration routes and identifying potential new conflict hotspots for proactive planning . IDEA TITLE 1 @SIH Idea submission- Template Your Team Name SOLUTION Detection Layer : A network of sensor "Sentinel" nodes is deployed at strategic locations. Each node is equipped with a Thermal Camera, an Acoustic Sensor (microphone), and a PIR Motion Sensor. Edge AI Layer : Data from these sensors is processed locally on an embedded Edge AI device (like a Raspberry Pi or Jetson Nano). Our custom- trained deep learning model analyzes the data in real-time to accurately identify elephants and differentiate them from other animals or vehicles, minimizing false alarms. Alert & Deterrent Layer : Upon positive elephant detection, the system initiates an automated, escalating response Local Alert : Activates on-site sirens and high- intensity flashing LED lights. Community Alert: Instantly sends SMS alerts and automated voice calls in the local language to registered villagers and community heads. Official Alert : Pushes a detailed notification (with GPS coordinates, timestamp, and a thermal image snippet) to a mobile app and web dashboard for the Forest Department. Non- Harmful Deterrents : Triggers pre- installed, non- invasive deterrents like ultrasonic sound emitters or targeted drone buzzing to safely guide the herd away.

3. Software & AI/ML: AI/ML : TensorFlow Lite / PyTorch for efficient on- device model deployment (e.g., a customized MobileNetV2 or YOLO model). Backend: Python (Flask/Django) running on a cloud service (AWS/GCP). Frontend: Web Dashboard (React/Angular), Mobile App (Flutter/Kotlin). Database: PostgreSQL with PostGIS for handling geospatial data. Methodology and implementation: Elephant Presence Detected Sensors Activate (Thermal, PIR, Acoustic) Edge AI Processing (Jetson Nano analyzes data) Decision: Elephant or Not If No → Return to monitoring If Yes → Continue Multi- Channel Alerts (Sirens, Strobe lights, GPS data via LoRaWAN) Gateway & Cloud Communication (LoRaWAN → Cloud via 4G/GSM) Centralized Response (SMS/Calls to villagers, App alerts to officials, GIS update) Data Analytics (Incident logged, improves prediction model) Hardware: Sensing : LWIR Thermal Cameras, PIR Sensors, MEMS Microphones. Processing: NVIDIA Jetson Nano / Raspberry Pi 5 for Edge AI. Communication: LoRaWAN for long-range sensor- to- gateway communication; 4G/LTE GSM module for gateway-to- cloud data transfer. Power: Solar Panels with LiFePO4 battery packs and MPPT charge controllers for durability and efficiency. TECHNICAL APPROACH 2 @SIH Idea submission- Template Your Team Name

4. Analysis of the Feasibility of the Idea: Technical Feasibility : The core technologies (Edge AI, LoRaWAN, solar power, thermal imaging) are mature and readily available. Our approach focuses on integrating these proven components into a robust system. Economic Feasibility : While the initial setup cost includes hardware like thermal cameras, the long- term economic benefit is immense. A single unit can protect an entire village periphery, saving lakhs in crop/property damage and government compensation. Mass production and use of open- source software will further reduce costs. Operational Feasibility : The system is designed for "deploy-and-forget" operation with minimal maintenance. Solar power makes it self-sustaining, and edge processing removes dependence on continuous internet. Alerts are sent via simple SMS, which is accessible to everyone. . Potential Challenges and Risks: Harsh Weather : Heavy monsoons and high temperatures in Chhattisgarh can affect electronic components. Vandalism & Wildlife Damage : Equipment can be stolen or damaged by people or animals. AI Model Accuracy: False positives/negatives can reduce user trust. Power Reliability: Consecutive cloudy days could strain the battery backup. Strategies for Overcoming These Challenges: Ruggedization : Use IP67-rated weatherproof enclosures and high- quality components. Secure Deployment: Mount units on tall, secure poles with camouflaged casings. Involve local communities in the project to create a sense of ownership and protection. Continuous Learning Model: Implement a feedback mechanism in the Forest Dept. app to report incorrect alerts, which will be used to retrain and improve the AI model continuously. Efficient Power Management : Use oversized batteries and intelligent power- saving modes to ensure operation for 3- 4 days without sun. FEASIBILITY AND VIABILITY 3 @SIH Idea submission- Template Your Team Name

5. IMPACT AND BENEFITS 4 @SIH Idea submission- Template Your Team Name Impact and Benefits IMPACTS BENEFITS Potential Impact on the Target Audience : Villagers & Farmers : Provides peace of mind and physical safety. Drastically reduces the risk to human life, property, and agricultural livelihood. Forest Department: Transforms reactive conflict management into a proactive, data- driven strategy. Optimizes patrol routes and resource allocation. Wildlife & Conservationists : Promotes human- wildlife coexistence. Non-harmful deterrents ensure elephant safety, and data collected provides invaluable insights into their behaviour for conservation efforts. Social: Saves lives, reduces human-wildlife conflict, and empowers local communities with a reliable safety tool. Economic: Prevents crores in annual agricultural losses. Reduces government expenditure on compensation payouts and manual tracking teams. Environmental: Supports the conservation of an endangered species by enabling safe passage through corridors, aligning with SDG 15 (Life on Land). Scalability: The modular design allows for easy replication and deployment in other conflict- ridden states like Odisha, Assam, and Kerala.

6. RESEARCH AND REFERENCES 5 @SIH Idea submission- Template Your Team Name “Machine Learning-Based Elephant Flow Classification on the First Packet ” https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10616096 "Low power wide area network (LPWAN) protocols: Enablers for future wireless networks” https://www.sciencedirect.com/science/article/pii/S2590123025019371 "Elephant - Human Conflict in the State of Assam, India (2000-2023): Trends, Challenges & Insights March 2025” https://moef.gov.in/uploads/2025/07/Assam_Elephant_Human_Conflict_Reoport_March_2025_Final.pdf "An efficient surveillance system to detect elephant intrusion into forest borders using seismic sensor.“ https://www.scribd.com/document/516303919/20167131 Technical References: NVIDIA Jetson Nano Developer Kit: Documentation for edge AI capabilities. https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit LoRaWAN Technology Overview by The Things Network: For understanding the communication protocol. https://ewattch.com/en/blog/lorawan/#:~:text=Definition,battery%20life%20of%20connected%20devices . Datasheets for Thermal Cameras (e.g., FLIR Lepton) to justify sensor choice. https://www.hanwhavision.com/wp-content/uploads/2024/03/28.-Thermal-camera_Whitepaper_EN.pdf