Smart Traffic Monitoring & Control System — hybrid edge-cloud platform for intelligent intersection management, real-time analytics, and city-wide traffic coordination.
Forlux is an end-to-end platform that connects edge controllers, AI vision cameras, and cloud analytics — giving traffic authorities full intersection visibility, predictive insights, and automated control from a single dashboard.
Remote and automated traffic signal management across multiple intersections from a single command center.
AI-powered vehicle detection and classification with real-time traffic flow analytics at every intersection.
On-site touch panel GUI and Desktop application for intersection operators with full local control.
Centralized city-wide monitoring dashboard for traffic authorities with multi-site aggregation.
Full autonomous operation during connectivity outages with automatic sync when connection restores.
Automatic over-the-air firmware and application upgrades pushed remotely to all field devices.
Indonesia's rapid urbanization exposed critical gaps in traffic infrastructure — disconnected systems, manual processes, and zero predictive capability.
Intersection #42 · Jl. Sudirman
A single congestion event took 2 hours 18 minutes to resolve. Without centralized monitoring, field officers were the only response — dispatched manually and delayed by the very congestion they were sent to fix.
Sensor triggers at Intersection #42
3 complaints received via hotline
Operator logs incident in spreadsheet
Field team dispatched from HQ (12 km)
37 min travel through congested roads
Officer manually adjusts signal timing
Traffic flow partially restored
2h 18m total incident duration
Relied heavily on field officers to manually adjust traffic flow at each intersection.
No centralized monitoring of intersections, signal states, or real-time traffic conditions.
Sensor and signal data scattered across multiple disconnected legacy systems.
Congestion and accidents required manual reporting, escalation, and intervention.
Outdated traffic controllers lacked remote management and predictive capabilities.
Troubleshooting required physical site visits, increasing operational costs and downtime.
Intelligent congestion detection and automatic signal adaptation — from jam detection to resolution in under 30 seconds.
Computer vision and sensor fusion detect congestion patterns within seconds of onset.
Real-time measurement of vehicle queue lengths at each approach using AI analytics.
When a jam is detected, signal timing adjusts automatically to relieve pressure in under 30 seconds.
Operators receive real-time notifications with location, severity, and recommended actions.
Detects congestion spreading to adjacent intersections and preemptively adjusts their signals.
ML models learn recurring jam patterns to predict and prevent congestion before it forms.
Configure, update, and optimize any intersection from anywhere — eliminating the need for costly and slow physical site visits.
Set parameters
Transmit via Internet
Serial handshake
Signal updated
Operators configure any intersection remotely from the cloud dashboard — no physical site visit required.
Modify green/yellow/red phase durations, cycle lengths, and coordination offsets in real time.
Changes push instantly to edge controllers via bidirectional sync. One-click rollback if needed.
Granular access control — supervisors approve critical changes while operators handle routine adjustments.
Push configuration templates to multiple intersections simultaneously for corridor-wide optimization.
Configure time-of-day signal plans — rush hour, school zone, weekend — that activate automatically.
Every camera becomes an intelligent sensor — counting vehicles, reading plates, detecting violations, and analyzing traffic patterns in real time.
Accurate real-time counting of vehicles passing through each approach using AI-powered tracking.
Automatically classifies motorcycles, cars, buses, trucks, and special vehicles with 95%+ accuracy.
Reads and records license plates in real-time — enabling enforcement, tracking, and data analytics.
Detects seat belt usage for front-seat occupants, supporting automated traffic safety enforcement.
Identifies vehicle color and body type for enhanced searchability and forensic traffic analysis.
Tracks movement direction and estimates speed for each vehicle — powering turn analysis and speed enforcement.
Every signal lamp is continuously monitored. When a lamp fails, the system detects it instantly and dispatches maintenance automatically.
Continuously monitors every signal lamp — red, yellow, and green — across all connected intersections.
Detects burnt-out, flickering, or dim lamps within seconds and flags them for immediate attention.
Sends real-time notifications to maintenance teams with exact lamp location, type, and fault details.
Auto-generates work orders and prioritizes repairs based on intersection criticality and traffic volume.
Tracks lamp age and predicts failures before they happen — enabling preventive replacement cycles.
Complete audit trail of every lamp fault, repair action, and resolution time for compliance reporting.
Forlux connects every intersection to a single platform — giving you both hands-on control at the roadside and a bird's-eye view from your office.
Touchscreen panel & desktop app at every intersection
City-wide monitoring, analytics & remote management
Data flows both ways — on-site and cloud stay in perfect sync, even during internet outages
Manage every intersection from a central dashboard or directly on-site — your choice, anytime.
Real-time data flows between the field and the cloud, giving you a city-wide view of every signal.
Even when internet drops, on-site systems keep running. Data syncs automatically when the connection returns.
Push signal changes to any intersection instantly — no waiting, no site visits, no delays.
Every change is logged and reversible. Role-based access ensures only authorized operators make adjustments.
Start with one intersection or deploy across an entire city — the platform scales to match your needs.
Designed for the field — touch-friendly interfaces with smart validation that prevent errors before they happen.
Large tap targets, swipe gestures, and optimized layouts designed for gloved hands and outdoor use.
Purpose-built numeric pads and time pickers — no tiny keys, no typing errors.
Every input is validated in real-time — invalid signal timings, out-of-range values, and conflicts are caught before saving.
Full-featured WPF desktop client for advanced configuration, diagnostics, and bulk signal management.
PIN-based login with role-based permissions. Auto-locks after inactivity to prevent unauthorized changes.
Step-by-step wizards guide operators through complex tasks — reducing errors and training time.
Centralized command center with live traffic maps, alarm monitoring, and a multi-camera CCTV wall — see your entire city in one screen.
City-wide map view showing all intersections, real-time signal states, and traffic flow conditions at a glance.
Map-integrated alarms that flash when congestion or hardware faults are detected — operators see the problem instantly.
Multi-camera live view showing all intersection feeds simultaneously — click any to enlarge and control.
Live traffic volume charts, peak hour predictions, and intersection performance metrics on every dashboard screen.
One control room manages every intersection — zoom in for detail or zoom out for the full city overview.
Transforming conventional traffic systems into intelligent, connected platforms — creating safer roads and smarter cities.
Faster incident detection and automated response coordination reduce accident response times.
Centralized monitoring eliminates manual field checks and reduces operator workload.
Data-driven signal optimization reduces bottlenecks and improves intersection throughput.
Cloud-native design enables expansion with AI, adaptive signals, and smart city ecosystem integration.
Lower maintenance costs, fewer field interventions, and optimized resource allocation.
With Forlux, PT Catur Mukti Pratama and Sindika are transforming conventional traffic systems into intelligent, connected platforms — creating safer roads, smoother traffic flows, and smarter cities across Indonesia.
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