Note: Pre-orders on IDEA are product reservations — not investments, shares, or equity. Your deposit is 100% refundable before shipping. Refund Policy →
Home/ Projects/ FloodSense — AI Urban Flood Prediction & Prevention Network
Electronics ● Active

FloodSense — AI Urban Flood Prediction & Prevention Network

IoT flood prediction network that predicts flooding 3 hours early

Chennai, India

🚚 Delivery Timeline

1
Today

Pre-order confirmed. Order ID issued. Confirmation email sent.

2
Every month

Progress updates: prototype videos, testing milestones, production readiness.

3
~60 days before shipping

We confirm your delivery address and collect final balance payment.

4
On delivery

Product ships to you. Full 30-day support from 3D-Labs after delivery.

🎁 Early Backer Perks

✅
Guaranteed Unit
Reserved from first production batch
💰
Early-Bird Price
Locked in before public launch pricing
🚀
Priority Delivery
Shipped before general availability
📧
Monthly Updates
Prototype videos and milestone emails
🏅
Founding Backer Badge
Listed on our Founding Buyers wall
↩️
Full Refund Guarantee
Cancel anytime before shipping
Product
FloodSense — AI Urban Flood Prediction & Prevention Network
Pre-order Target
₹85 L
Total Pre-ordered
₹0
Product Price
₹8.5 Cr
Pre-order Now
₹85 L
Expected Delivery
January 1970
Delivery Notes
Ships within 1 year of production start
Product Price
₹8.5 Cr
🛒 PRE-ORDER
₹8,500,000 10% upfront deposit
✅ Price locked at ₹8.5 Cr forever
💳 Balance ₹7.65 Cr on delivery
↩️ 100% refundable before shipping
📜 Certificate issued instantly
📅 ADVANCE BOOKING
₹4,250,000 5% slot reservation fee
⚠️ Final price may change at delivery
💳 Est. balance ₹8.08 Cr on delivery
❌ Slot fee non-refundable
📜 Certificate issued instantly
What's the difference? Pre-Order locks your price at ₹8.5 Cr permanently — pay ₹85 L now, ₹7.65 Cr on delivery. Advance Booking reserves your slot for just ₹42.5 L but the final price may change. Pre-order deposits are 100% refundable before shipping.
23% Pre-ordered ₹0 pre-ordered of ₹85 L
🎯 Target: ₹85 L ⏱ 138 days left
📋
About This Project
Overview, mission & core vision
Overview

FloodSense is an AI-powered IoT network of smart sensors installed in urban drainage systems — 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.

🚀
�� Problem
Urban flooding costs India Rs.1,20,000Cr annually — Chennai alone loses Rs.8,000Cr per major flood event with zero early warning
⚡
�� Solution
FloodSense predicts flooding 3 hours in advance giving citizens, hospitals and emergency services time to prepare and evacuate
🤖
�� Market
$3.8B global smart water management market growing at 12.6% CAGR by 2030
🌿
�� Traction
Pilot network of 120 sensors deployed across 8 drainage zones in Chennai — successfully predicted 3 flood events in 2025 monsoon season
🎯
�� Revenue Model
Rs.2.5Cr per city zone annual contract + Rs.15,000 per sensor annual maintenance subscription
🔒
�� Use of Funds
45% sensor hardware manufacturing, 35% AI platform development, 20% city government partnerships
🔧
Features
Core capabilities & functionalities
6 Features
✓
3-Hour Flood Prediction
AI model analyzes water levels, rainfall data and drainage capacity across entire city network — predicting flood zones with 94% accuracy up to 3 hours before water overflows
✓
Automatic Flood Gate Control
Smart actuators on drainage gates and pumping stations activate automatically when prediction threshold is crossed — diverting water flow before streets flood
✓
Citizen Emergency Alerts
Hyperlocal push notifications sent to residents in affected zones 3 hours before predicted flooding — specifying street-level flood risk and recommended evacuation routes
✓
Real-Time Drainage Monitoring
Ultrasonic and pressure sensors in drainage pipes measure water levels every 30 seconds across entire city network — detecting blockages and overflow risks instantly
✓
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
✓
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
6 Advantages
⚠️
Predicts Failure 72 Hours Early
Vibration, current and temperature analysis detects developing faults in motors, cables, brakes and doors 72 hours before breakdown — maintenance team replaces failing component during scheduled downtime instead of responding to a breakdown with passengers trapped
🛗
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 — most impactful safety metric for residential society facility managers and liability insurers
📊
Compliance Certificates Auto-Generated
LiftLog generates IS 14665 statutory inspection data automatically — 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
🔧
Clamps On Without Stopping Lift
All LiftLog sensors install on existing cable, motor and door mechanism externally — 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
💰
Reduces Maintenance Cost by 45%
Predictive maintenance replaces scheduled maintenance — 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
🏢
Multi-Lift Building Dashboard
Building manager app shows health status of all lifts simultaneously — 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
6 Steps
01
Drainage Network Mapping
FloodSense engineers map entire city drainage network using GIS data — 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 — each sensor live in under 30 minutes with no road work
03
Gateway Network Setup
LoRaWAN communication gateways installed on streetlights every 500 meters — 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 — calibrated over one pre-monsoon season
05
Flood Gate Integration
Smart actuator controllers installed on existing drainage gates and pump stations — enabling automatic remote activation from FloodSense AI platform
06
Go Live & Monitor
System goes live before monsoon season — city corporation, emergency services and citizens get app access with real-time flood risk maps and alerts
💡
Technology
Tech stack & innovation
6 Technologies
🔬
Ultrasonic Water Level Sensors
Industrial IP68 ultrasonic sensors measure water levels inside drainage pipes with 2mm accuracy every 30 seconds — fully sealed against sewage and debris
🤖
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
📡
LoRaWAN Sensor Network
Long-range LoRaWAN mesh network connects hundreds of sensors across entire city on a single gateway infrastructure — 10km range per gateway with 10-year battery life
☁️
FloodCloud Command Platform
Real-time cloud platform ingests data from all sensors, runs prediction models, controls flood gates remotely and broadcasts citizen alerts simultaneously
🌧️
Multi-Source Weather Fusion
AI fuses data from IMD radar, satellite precipitation estimates and local rain gauges — combining ground truth with atmospheric forecasts for maximum lead time
🚪
Smart Gate Actuator System
Weatherproof electric actuator units retrofit onto existing manual drainage gates — enabling remote and automatic operation from FloodCloud platform
📊
Market Opportunity
Market size, growth & potential
6 Data Points
$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
8 Specs
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
₹8.5 Cr
Choose your purchase option
23% Pre-ordered ₹0 pre-ordered
138
Days Left
23%
Pre-ordered
Product Price
₹8.5 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
🛒 Pre-order
Pre-Order Pay 10% now — ₹8,500,000 · Balance ₹76,500,000 on delivery
See pre-order breakdown▼
Product price₹8.5 Cr
Buyer pays now (10%)₹8,500,000.00
Creator receives (96%)₹8,160,000.00
Platform fee (4%)₹340,000.00
Balance due on delivery₹76,500,000.00
Creator receives (96%)₹73,440,000.00
Platform fee (4%)₹3,060,000.00
Buyer pays exact price · Platform takes 4% from each payment · 📜 Certificate issued
📅 Advance Booking
Advance Booking Reserve now — ₹4,250,000 · Balance ₹80,750,000 on delivery
See booking breakdown▼
Product price (current)₹8.5 Cr
Buyer pays now (5%)₹4,250,000.00
Creator receives (96%)₹4,080,000.00
Platform fee (4%)₹170,000.00
Est. balance on delivery₹80,750,000.00
Creator receives (96%)₹77,520,000.00
Platform fee (4%)₹3,230,000.00
⚠ Final price may change · Buyer pays exact price · 📜 Certificate included
+ Add to Watchlist
🔒 Secure & encrypted transactions
📜 Certificate issued on payment
✓ Verified project listing
★ Backed by 3D-Labs
✉ floodsense@3d-labs.com

Evaluating an electronics pre-order

For consumer and industrial electronics, the practical risks are component sourcing, enclosure tooling and compliance testing. Ask which revision the prototype is on, whether the bill of materials is locked, and what the warranty and service path looks like after delivery.

About IDEA

IDEA is an India-based marketplace where inventors launch AI, robotics and deep-tech products through pre-orders and bookings. It is operated by 3D-LABS Engineering, an engineering firm in business since 2003. Inventors publish a project with specifications, pricing and delivery expectations, and buyers reserve units before general availability.

Questions about this project

How do I pre-order FloodSense — AI Urban Flood Prediction & Prevention Network?

Create a free account on IDEA, open this project page and choose the pre-order or booking option shown for it. The page states the deposit due now and the balance due before delivery.

What is the difference between a pre-order and a booking?

A pre-order locks the price shown on the page and takes a deposit against that price. A booking reserves a unit where the final price is not fixed yet, so the balance is calculated when the product is ready. Each project page states which options the inventor has enabled.

When will the product be delivered?

Delivery expectations are set by the inventor and shown on this page. Deep-tech and hardware products often move slower than software, so treat the published window as the inventor current estimate rather than a guarantee.

How are payments handled on IDEA?

Payments run through the platform payment gateways rather than directly to the inventor, and the platform fee is shown separately at checkout. Read the refund policy before paying, because refund terms depend on the stage the project has reached.

Can I contact the inventor before I pay?

Yes. Each project page carries the creator details and a contact route, and the support page can escalate a question if the inventor does not respond.

What category does FloodSense — AI Urban Flood Prediction & Prevention Network belong to?

This project is listed under Electronics. Browsing the same category is a quick way to compare delivery timelines and deposit structures across similar products.

What is the funding target for FloodSense — AI Urban Flood Prediction & Prevention Network?

The inventor has published a funding target of ₹85 L for this project. The target is the amount the inventor is seeking, not an amount already committed.