Automated-Sentry-System[13546844487].pptx

An innovation

1. Automated Sentry System An NITW Innovation Project: Revolutionizing Security with Autonomous Threat Response

2. Automated Sentry System An NITW Innovation Project: Revolutionizing Security with Autonomous Threat Response

3. The Challenge Why an Automated Sentry? Human Vulnerability Current systems expose personnel to direct confrontation, leading to unnecessary casualties. Inefficiency at Scale Conventional sentries struggle against multiple intruders, compromising security. System Compromise Existing security measures are susceptible to infiltration and human error.

4. Our Vision Project Aim: Intelligent Threat Response This project aims to develop a robotic sentry system that detects, aims, and simulates firing at a red target (foe) while ignoring a green target (friend) and stopping fire if the target is neutralized. Our goal is to create an autonomous system that precisely differentiates between threats and non-threats in high-stakes scenarios like close combat simulations and military training.

5. Key Milestones Project Objectives: What We Achieved 01 Target Discrimination Successfully detect and differentiate between designated red (foe) and green (friend) targets. 02 Automated Aiming Utilize servo motors to precisely aim a dummy rifle at the identified red target. 03 Simulated Engagement Integrate a buzzer to simulate firing upon detection of a hostile target. 04 Neutralization Confirmation Implement a mechanism to cease simulated firing once the target is deemed "neutralized" (falls). 05 Sensor Integration Combine multiple sensors for accurate positioning and enhanced system reliability.

6. The Core Technology Hardware & Sensors Arduino Uno: The brain of our system, managing all sensor inputs and actuator outputs. IR Sensors: Differentiate between red and green targets based on their reflective properties. Ultrasonic Sensor (HC-SR04): Measures distance to the target for accurate aiming and range finding. MPU6050: An accelerometer and gyroscope that detects changes in the target's orientation (e.g., if it falls). Servo Motors: Provide precise control over the dummy rifle's pan and tilt movements for aiming. Buzzer: Emits an audible sound to simulate the firing mechanism. LDR Sensor: Adapts the IR sensor's sensitivity to varying ambient light conditions, ensuring consistent performance.

7. How It Works Working Mechanism: Step-by-Step 1 Target Detection IR sensors scan for targets and identify whether they are red (foe) or green (friend). 2 Aiming & Tracking Upon red target detection, servo motors, mounted on a pan-tilt mechanism, precisely adjust the dummy rifle's position. 3 Engagement Simulation A buzzer activates, simulating the firing of the rifle. 4 Neutralization Check The MPU6050 sensor continuously monitors the target; if it falls (becomes horizontal), firing ceases. 5 Distance & Light Adaptation An ultrasonic sensor maintains optimal distance, while the LDR adjusts IR sensitivity for environmental lighting.

8. The Blueprint Circuital Diagram This diagram illustrates the interconnection of our core components: Arduino Uno, PIR (passive infrared for initial motion detection, though not explicitly listed in components, it's a common element with IR sensors), buzzer, ultrasonic sensor, MPU6050, servo motors, and LDR.

9. Beyond the Prototype Applications & Future Enhancements Enhanced Security Automated threat detection for barracks and critical infrastructure, reducing human risk. Unmanned Operations Integration with UMVs for close-quarters battle (CQB) scenarios, expanding operational reach. AI Integration Future integration with AI for advanced image processing and enhanced friend/foe discrimination. Real-time Data Implement wireless data transmission for remote monitoring and control. Precision Actuators Upgrade motors for even more accurate and rapid targeting capabilities.

10. Learning & Growth Limitations and Challenges Faced Developing the Automated Sentry System presented several learning opportunities: Sensor Calibration: Achieving consistent and accurate readings from multiple sensors under varying environmental conditions was complex. Real-time Responsiveness: Optimizing code and hardware to ensure rapid detection and response required careful fine-tuning. Mechanical Integration: Designing a robust pan-tilt mechanism that balanced precision, speed, and durability.

11. Moving Forward Conclusion & Next Steps The Auto Sentry System demonstrates an innovative approach to automated target identification and engagement. It provides a proof of concept for future military applications where autonomous systems can assist in threat detection and response. This project, conceived and developed by NITW students, showcases the potential for technology to safeguard human lives and enhance defense capabilities. We are excited about the journey ahead and the continued evolution of this impactful solution.