Product
Pre-order Target
โน85 L
Total Pre-ordered
โน0
Product Price
โน8.5 Cr
Pre-order Now
โน85 L
Expected Delivery
January 1970
Delivery Notes
Ships within 1 year of production start
Product Price
โน8.5 Cr
๐ PRE-ORDER
โน8,500,000 10% upfront deposit
โ
Price locked at โน8.5 Cr forever
๐ณ Balance โน7.65 Cr on delivery
โฉ๏ธ 100% refundable before shipping
๐ Certificate issued instantly
๐
ADVANCE BOOKING
โน4,250,000 5% slot reservation fee
โ ๏ธ Final price may change at delivery
๐ณ Est. balance โน8.08 Cr on delivery
โ Slot fee non-refundable
๐ Certificate issued instantly
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Pre-Order locks your price at โน8.5 Cr permanently โ pay โน85 L now, โน7.65 Cr on delivery.
Advance Booking reserves your slot for just โน42.5 L but the final price may change.
Pre-order deposits are 100% refundable before shipping.
23% Pre-ordered
โน0 pre-ordered of โน85 L
About This Project
Overview, mission & core vision
FloodSense is an AI-powered IoT network of smart sensors installed in urban drainage systems โ continuously monitoring water levels, rainfall intensity and flow rates to predict urban flooding 3 hours in advance and automatically activating flood gates, pumps and emergency alerts before disaster strikes.
๏ฟฝ๏ฟฝ Problem
Urban flooding costs India Rs.1,20,000Cr annually โ Chennai alone loses Rs.8,000Cr per major flood event with zero early warning
๏ฟฝ๏ฟฝ Solution
FloodSense predicts flooding 3 hours in advance giving citizens, hospitals and emergency services time to prepare and evacuate
๏ฟฝ๏ฟฝ Market
$3.8B global smart water management market growing at 12.6% CAGR by 2030
๏ฟฝ๏ฟฝ Traction
Pilot network of 120 sensors deployed across 8 drainage zones in Chennai โ successfully predicted 3 flood events in 2025 monsoon season
๏ฟฝ๏ฟฝ Revenue Model
Rs.2.5Cr per city zone annual contract + Rs.15,000 per sensor annual maintenance subscription
๏ฟฝ๏ฟฝ Use of Funds
45% sensor hardware manufacturing, 35% AI platform development, 20% city government partnerships
Features
Core capabilities & functionalities
โ
3-Hour Flood Prediction
AI model analyzes water levels, rainfall data and drainage capacity across entire city network โ predicting flood zones with 94% accuracy up to 3 hours before water overflows
โ
Automatic Flood Gate Control
Smart actuators on drainage gates and pumping stations activate automatically when prediction threshold is crossed โ diverting water flow before streets flood
โ
Citizen Emergency Alerts
Hyperlocal push notifications sent to residents in affected zones 3 hours before predicted flooding โ specifying street-level flood risk and recommended evacuation routes
โ
Real-Time Drainage Monitoring
Ultrasonic and pressure sensors in drainage pipes measure water levels every 30 seconds across entire city network โ detecting blockages and overflow risks instantly
โ
Rainfall Radar Integration
System integrates with IMD weather radar and satellite rainfall data to combine ground sensor readings with precipitation forecasts for maximum prediction accuracy
โ
Emergency Services Dashboard
NDRF, fire department, hospitals and municipal corporation get unified real-time flood risk dashboard showing affected zones, road accessibility and resource deployment map
Key Advantages
Why this project stands out
โ ๏ธ
Predicts Failure 72 Hours Early
Vibration, current and temperature analysis detects developing faults in motors, cables, brakes and doors 72 hours before breakdown โ maintenance team replaces failing component during scheduled downtime instead of responding to a breakdown with passengers trapped
๐
Zero Passenger Entrapment
Pilot buildings using LiftLog reported zero passenger entrapment incidents over 18 months versus industry average of 2.3 entrapments per lift per year โ most impactful safety metric for residential society facility managers and liability insurers
๐
Compliance Certificates Auto-Generated
LiftLog generates IS 14665 statutory inspection data automatically โ maintenance records, safety check logs and performance metrics formatted for lift inspector submission, reducing compliance documentation effort from 4 hours to 4 minutes per inspection
๐ง
Clamps On Without Stopping Lift
All LiftLog sensors install on existing cable, motor and door mechanism externally โ no lift shutdown required for installation. Full sensor suite fitted and live within 4 hours of installation team arrival with residents using the lift throughout
๐ฐ
Reduces Maintenance Cost by 45%
Predictive maintenance replaces scheduled maintenance โ parts replaced only when wear is detected, not on calendar schedule. Pilot buildings reduced annual lift maintenance expenditure by 45% while improving reliability and safety simultaneously
๐ข
Multi-Lift Building Dashboard
Building manager app shows health status of all lifts simultaneously โ colour-coded risk dashboard, upcoming maintenance schedule, energy consumption per lift and month-on-month reliability trend for AMC renewal negotiations
How It Works
Step-by-step process & workflow
01
Drainage Network Mapping
FloodSense engineers map entire city drainage network using GIS data โ identifying critical choke points, low-lying zones and high-risk flood areas
02
Sensor Installation
Waterproof ultrasonic and pressure sensors installed inside drainage manholes across mapped network โ each sensor live in under 30 minutes with no road work
03
Gateway Network Setup
LoRaWAN communication gateways installed on streetlights every 500 meters โ connecting all sensors to FloodSense cloud platform in real time
04
AI Model Calibration
Machine learning model trained on city historical flood data, drainage maps and 3 years of rainfall records โ calibrated over one pre-monsoon season
05
Flood Gate Integration
Smart actuator controllers installed on existing drainage gates and pump stations โ enabling automatic remote activation from FloodSense AI platform
06
Go Live & Monitor
System goes live before monsoon season โ city corporation, emergency services and citizens get app access with real-time flood risk maps and alerts
Technology
Tech stack & innovation
๐ฌ
Ultrasonic Water Level Sensors
Industrial IP68 ultrasonic sensors measure water levels inside drainage pipes with 2mm accuracy every 30 seconds โ fully sealed against sewage and debris
๐ค
FloodAI Prediction Engine
LSTM deep learning model trained on 10 years of Chennai flood and rainfall data predicts flood zones 3 hours ahead with 94% accuracy and street-level resolution
๐ก
LoRaWAN Sensor Network
Long-range LoRaWAN mesh network connects hundreds of sensors across entire city on a single gateway infrastructure โ 10km range per gateway with 10-year battery life
โ๏ธ
FloodCloud Command Platform
Real-time cloud platform ingests data from all sensors, runs prediction models, controls flood gates remotely and broadcasts citizen alerts simultaneously
๐ง๏ธ
Multi-Source Weather Fusion
AI fuses data from IMD radar, satellite precipitation estimates and local rain gauges โ combining ground truth with atmospheric forecasts for maximum lead time
๐ช
Smart Gate Actuator System
Weatherproof electric actuator units retrofit onto existing manual drainage gates โ enabling remote and automatic operation from FloodCloud platform
Market Opportunity
Market size, growth & potential
$3.8B
Global Smart Water Management Market 2030
Rs.1.2L Cr
Annual Urban Flood Losses in India
12.6%
Market CAGR Through 2030
Rs.8,000Cr
Chennai Flood Damage Per Major Event
94%
Flood Prediction Accuracy in Chennai Pilot
3 Hours
Advance Warning Time Before Flooding
Specifications
Technical details & parameters
Prediction Lead Time
3 hours before flooding
Prediction Accuracy
94% in pilot tests
Sensor Measurement
Every 30 seconds
Water Level Accuracy
2mm precision
Network Range
10km per LoRaWAN gateway
Sensor Battery Life
10 years
Waterproof Rating
IP68 fully sealed
Installation Time
30 minutes per sensor
Product Price
โน8.5 Cr
Choose your purchase option
23% Pre-ordered
โน0 pre-ordered
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Days Left
23%
Pre-ordered
Product Price
โน8.5 Cr
Listing Deadline
31 Dec 2026
Pre-Order Notice: This is a product reservation, not an investment.
No shares or equity are issued. Deposit is 100% refundable before shipping.
Refund Policy
๐ Pre-order
Pre-Order
Pay 10% now โ โน8,500,000 ยท Balance โน76,500,000 on delivery
See pre-order breakdownโผ
Product priceโน8.5 Cr
Buyer pays now (10%)โน8,500,000.00
Creator receives (96%)โน8,160,000.00
Platform fee (4%)โน340,000.00
Balance due on deliveryโน76,500,000.00
Creator receives (96%)โน73,440,000.00
Platform fee (4%)โน3,060,000.00
Buyer pays exact price ยท Platform takes 4% from each payment ยท ๐ Certificate issued
๐
Advance Booking
Advance Booking
Reserve now โ โน4,250,000 ยท Balance โน80,750,000 on delivery
See booking breakdownโผ
Product price (current)โน8.5 Cr
Buyer pays now (5%)โน4,250,000.00
Creator receives (96%)โน4,080,000.00
Platform fee (4%)โน170,000.00
Est. balance on deliveryโน80,750,000.00
Creator receives (96%)โน77,520,000.00
Platform fee (4%)โน3,230,000.00
โ Final price may change ยท Buyer pays exact price ยท ๐ Certificate included
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โ floodsense@3d-labs.com