Material Required with its approx prices:
Mechanical Components:
1. Stainless Steel (SS304) - 2 kg (frame, propellers) - ₹1,500 - ₹3,000
2. Aluminum (6061) - 1 kg (body, brackets) - ₹800 - ₹1,500
3. Galvanized Steel - 1 kg (axles, fasteners) - ₹500 - ₹1,000
4. PVC Pipes (for buoyancy) - ₹500 - ₹1,000
5. Waterproof bearings - ₹200 - ₹500
Electronics:
1. Arduino Uno (or similar) - ₹500 - ₹1,000
2. Motor Driver IC (L298N) - ₹200 - ₹500
3. DC Motors (2) - ₹1,000 - ₹2,000
4. Power Supply (12V, 2A) - ₹300 - ₹600
5. Battery (12V, 4Ah) - ₹800 - ₹1,500
6. Water-resistant sensors (ultrasonic, temperature) - ₹500 - ₹1,000
Communication:
1. RF Remote Control Module (HL-1000/HL-1001) - ₹1,400 - ₹2,200
Miscellaneous:
1. Wires, connectors, and cables - ₹500 - ₹1,000
2. Waterproof glue and sealants - ₹200 - ₹500
3. Paint and coatings - ₹200 - ₹500
Total Estimated Cost: ₹23,300 - ₹37,300
For a flood rescue robot, you'll need a metal that's:
1. Water-resistant
2. Corrosion-resistant
3. Strong and durable
4. Lightweight
Considering these requirements, here are some metal options:
1. Stainless Steel (SS): Specifically, SS304 or SS316, which offer excellent
corrosion resistance and durability.
2. Aluminum (Al): Lightweight and resistant to corrosion, aluminum is a great
option. However, it may require additional coatings or treatments for enhanced
water resistance.
3. Titanium (Ti): Strong, lightweight, and corrosion-resistant, titanium is an
excellent choice. However, it can be more expensive than other options.
4. Galvanized Steel: A cost-effective option with a protective zinc coating, making
it resistant to corrosion.
For specific components, you might consider:
- Stainless Steel for the robot's frame, propellers, or manipulator arms
- Aluminum for the robot's body or housing
- Titanium for high-stress components, like axles or fasteners
Key Features:
1. Waterproof Design: Ensure the robot can withstand being submerged in water.
2. Propulsion System: Design a propulsion system that allows the robot to swim
through water efficiently.
3. Sensors and Navigation: Equip the robot with sensors (e.g., GPS, sonar, depth
sensors) to navigate through flooded areas.
4. Manipulator Arm: Add a manipulator arm to retrieve people or objects from the
water.
5. Communication System: Install a communication system to stay in contact with the
control center and receive instructions.
6. Power Supply: Choose a reliable power supply, such as batteries or a waterproof
power source.
7. Buoyancy Control: Implement a buoyancy control system to maintain the robot's
stability in water.
8. Water Quality Sensors: Add sensors to monitor water quality and detect potential
hazards.
9. Night Vision: Equip the robot with night vision capabilities to operate in low-
light conditions.
10. Autonomous Operation: Program the robot to operate autonomously, with optional
remote control.
Functionalities:
1. Person Detection: Use sensors and AI to detect people in the water.
2. Rescue Mode: Design a rescue mode that allows the robot to carefully retrieve
people.
3. Debris Removal: Enable the robot to remove debris blocking paths or rescues.
4. Water Sampling: Allow the robot to collect water samples for quality analysis.
5. Flood Mapping: Create a flood map to help emergency services navigate and
prioritize rescues.
Benifits:
1. Quick Response: Rapidly deployable, enabling swift response to emergencies
.
2. Enhanced Safety: Minimizes risk to human rescue teams, reducing casualties.
3. Improved Accuracy: Advanced sensors and navigation systems for precise location
and detection.
4. Increased Reach: Accesses flooded areas inaccessible to humans, expanding rescue
capabilities.
5. Real-time Data: Transmits vital information to rescue teams, enabling informed
decision-making.
6. Cost-Effective: Reduces costs associated with traditional rescue methods and
infrastructure damage.
7. Versatility: Adaptable to various flood scenarios and environments.
8. Enhanced Situational Awareness: Provides critical information on flood
conditions, helping optimize rescue efforts.
9. Reduced Response Time: Streamlines rescue operations, saving precious time.
10. Saving Lives: Ultimately, the robot's primary goal is to save lives and reduce
the impact of flooding on communities.
Some potential additions of AI to the flood rescue robot:
1. Machine Learning: Enable the robot to learn from experience and improve its
navigation and detection capabilities.
2. Computer Vision: Integrate cameras and AI-powered computer vision to detect and
identify people, debris, and hazards.
3. Predictive Analytics: Use data and machine learning algorithms to predict flood
patterns, water levels, and potential risks.
4. Autonomous Navigation: Implement AI-powered navigation systems, allowing the
robot to adapt to changing environments and make decisions in real-time.
5. Human Detection: Utilize AI-driven sensors and cameras to detect human presence,
even in murky or debris-filled waters.
6. Object Recognition: Enable the robot to recognize and respond to specific
objects, such as stranded people, pets, or hazardous materials.
7. Natural Language Processing: Integrate AI-powered communication systems,
allowing the robot to receive voice commands and provide critical information to
rescue teams.
8. Sensor Fusion: Combine data from various sensors, such as sonar, GPS, and
cameras, to create a comprehensive understanding of the environment.
9. Anomaly Detection: Use machine learning algorithms to identify unusual patterns
or anomalies in the data, indicating potential risks or hazards.
10. Human-Robot Interaction: Develop AI-powered interfaces for seamless
communication between the robot and human rescue teams.
These AI additions can enhance the flood rescue robot's capabilities, making it a
more effective and efficient tool for saving lives during flood disasters.
