Urban Tech / IoT / Public Infrastructure

SmartCity Platform

Integrated Operations & Monitoring Suite

Unified command dashboard consolidating surveillance, traffic flow, emergency response, and environmental monitoring—enabling real-time decision-making for city operations.

Timeline

10-12 months

Team Size

8-12 engineers

SmartCity Platform

Technologies Used

Microservices (Node.js/Go)KubernetesDockerKafka StreamsCCTV/RTSP IntegrationGIS DashboardsAI/ML Anomaly DetectionReactPostgreSQLRedis

The Challenge

Before SmartCity, every department operated in isolation. Traffic control had their own system, surveillance had another, and emergency services used yet another.

Data was fragmented, response coordination was slow, and real-time decision-making was nearly impossible. The city needed a unified command center.

Our Mission

Create a single pane of glass for city operations that would consolidate all monitoring, analytics, and response systems.

Enable real-time decision-making through analytics
Enhance public safety and traffic efficiency
Improve emergency response times

What We Delivered

Multi-module command center platform
CCTV ingestion & RTSP video wall
Real-time traffic analytics
Incident management workflows
Pollution & environmental sensor dashboards
Emergency dispatch coordination
Microservices pipeline with Kafka
ANPR camera integration
GPS device & IoT sensor integration
Weather station connectivity
Protocol adapters for vendor neutrality

Pain Points & Challenges

Huge Data Volume from Cameras

Hundreds of CCTV feeds generating massive amounts of video data required high-throughput processing infrastructure.

Latency-Sensitive Analytics

Real-time traffic and incident detection could not tolerate delays - milliseconds mattered for emergency response.

Multiple Mismatched Vendors

Government departments used different vendors with incompatible data formats and protocols.

24/7 Reliability Requirement

City operations demanded zero downtime—any failure could compromise public safety.

How We Overcame Them

GPU-Accelerated Processing

Deployed GPU clusters for real-time video analytics, enabling parallel processing of multiple camera feeds simultaneously.

Kafka Buffering

Implemented Kafka message streams to buffer and stabilize massive data floods from sensors and cameras.

Protocol Abstraction Layer

Created universal adapters that normalized data from different vendors into a standard format.

Redundant Failover Clusters

Built active-active failover architecture with automatic health monitoring and seamless switchover.

Results & Impact

Significantly reduced incident detection time

Improved traffic flow reporting accuracy

Faster emergency coordination and response

Centralized previously siloed departmental operations

Single pane of glass for city-wide monitoring

"The client praised the system for centralizing what used to be chaotic siloed operations into a unified, intelligent command center."

Need a Smart City Solution?

We build integrated command centers for cities, municipalities, and large-scale infrastructure operations.

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