Product
Pre-order Target
โน20,000 Cr
Total Pre-ordered
โน0
Product Price
โน8 Cr
Pre-order Now
โน80 L
Expected Delivery
January 1970
Delivery Notes
Ships within 1 year of production start
Product Price
โน8 Cr
๐ PRE-ORDER
โน8,000,000 10% upfront deposit
โ
Price locked at โน8 Cr forever
๐ณ Balance โน7.2 Cr on delivery
โฉ๏ธ 100% refundable before shipping
๐ Certificate issued instantly
๐
ADVANCE BOOKING
โน4,000,000 5% slot reservation fee
โ ๏ธ Final price may change at delivery
๐ณ Est. balance โน7.6 Cr on delivery
โ Slot fee non-refundable
๐ Certificate issued instantly
What's the difference?
Pre-Order locks your price at โน8 Cr permanently โ pay โน80 L now, โน7.2 Cr on delivery.
Advance Booking reserves your slot for just โน40 L but the final price may change.
Pre-order deposits are 100% refundable before shipping.
19% Pre-ordered
โน0 pre-ordered of โน20,000 Cr
About This Project
Overview, mission & core vision
๏ฟฝ๏ฟฝ Adaptive Signal Control
AI adjusts traffic light timings every 5 seconds based on real-time vehicle density, reducing average wait times by up to 60%. โข Predictive Congestion Engine: Machine learning models analyse historical and live data to predict gridlock 20 minutes in advance and reroute traffic proactively. โข Emergency Vehicle Priority: Automatically detects ambulances, fire trucks and police vehicles, clearing green corridors across intersections in real time. โข Smart Pedestrian Safety: Computer vision monitors pedestrian crossing patterns and extends walk signals dynamically to prevent accidents. โข City-Wide Dashboard: Centralised control centre gives traffic authorities live visibility across all intersections with one-click incident response. โข Scalable Cloud Infrastructure: Deploy across 10 or 10,000 intersections using the same platform with zero downtime updates and remote configuration.
Features
Core capabilities & functionalities
โ
Adaptive Signal Control
AI adjusts traffic light timings every 5 seconds based on real-time vehicle density across all lanes.
โ
City-Wide Sensor Network
Integrates camera, radar and IoT sensors across entire urban grids for unified traffic intelligence.
โ
Emergency Vehicle Priority
Automatically creates green corridors for ambulances, fire trucks and police within 3 seconds of detection.
โ
Predictive Congestion AI
Predicts traffic buildups 20 minutes in advance and pre-adjusts signal plans to prevent gridlock.
โ
Public & Navigation App API
Real-time traffic data feeds into Google Maps, Waze and public transit apps seamlessly.
โ
Weather & Event Adaptation
Automatically modifies traffic flow plans for rain, fog, sports events and public gatherings.
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
City Assessment
TrafficIQ engineers survey existing signal infrastructure and sensor coverage across target zones.
02
Sensor Integration
Connect existing cameras and signals to TrafficIQ edge nodes via standard protocols (NTCIP, UTMC).
03
AI Baseline Training
System ingests 90 days of historical traffic data to calibrate city-specific flow models.
04
Pilot Zone Activation
Deploy in one district first. AI optimises in real time and data is validated against KPI targets.
05
City-Wide Rollout
Proven zone-by-zone expansion with zero disruption to existing traffic operations during transition.
06
Continuous Learning
TrafficIQ retrains monthly on new data โ getting smarter with every season, event and road change.
Technology
Tech stack & innovation
๐ง
Reinforcement Learning Engine
Traffic signal timing is optimised via deep RL agents trained in a city-scale simulation environment.
๐ก
Multi-Sensor Fusion
Combines camera AI, inductive loops, radar and connected vehicle data into a single traffic model.
โก
Edge Computing Nodes
Roadside edge processors make signal decisions in under 10ms without relying on internet connectivity.
โ๏ธ
City Intelligence Cloud
Aggregated anonymised data powers city-level dashboards, reports and long-term planning tools.
๐
Zero-Trust Security
All node-to-node communication uses AES-256 encryption with certificate-based mutual authentication.
๐
Open API Platform
RESTful APIs allow navigation apps, transit operators and emergency services to integrate instantly.
Market Opportunity
Market size, growth & potential
$32B
Smart Traffic Management Market 2030
56%
World Population Living in Cities
$1T
Annual Cost of Urban Congestion Globally
23%
Average Emission Reduction Achieved
40%
Commute Time Reduction in Pilot Cities
2028
Global Expansion Target
Specifications
Technical details & parameters
Signal Response Time
< 5 seconds
Decision Latency
< 10 ms (edge)
Prediction Horizon
20 minutes ahead
Camera Integration
Existing CCTV compatible
Protocols Supported
NTCIP, UTMC, SCOOT
Uptime SLA
99.95%
Emergency Response
3-second green corridor
Data Encryption
AES-256 end-to-end
Product Price
โน8 Cr
Choose your purchase option
19% Pre-ordered
โน0 pre-ordered
โ
Days Left
19%
Pre-ordered
Product Price
โน8 Cr
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 โน8,000,000 ยท Balance โน72,000,000 on delivery
See pre-order breakdownโผ
Product priceโน8 Cr
Buyer pays now (10%)โน8,000,000.00
Creator receives (96%)โน7,680,000.00
Platform fee (4%)โน320,000.00
Balance due on deliveryโน72,000,000.00
Creator receives (96%)โน69,120,000.00
Platform fee (4%)โน2,880,000.00
Buyer pays exact price ยท Platform takes 4% from each payment ยท ๐ Certificate issued
๐
Advance Booking
Advance Booking
Reserve now โ โน4,000,000 ยท Balance โน76,000,000 on delivery
See booking breakdownโผ
Product price (current)โน8 Cr
Buyer pays now (5%)โน4,000,000.00
Creator receives (96%)โน3,840,000.00
Platform fee (4%)โน160,000.00
Est. balance on deliveryโน76,000,000.00
Creator receives (96%)โน72,960,000.00
Platform fee (4%)โน3,040,000.00
โ Final price may change ยท Buyer pays exact price ยท ๐ Certificate included
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๐ Certificate issued on payment
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โ
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โ info@3d-labs.com