Snap4IDTCity — Smart City Platform

Snap4IDTCity: Smart City Platform

Snap4IDTCity — Smart City Platform

by IDTSolutions
A tailored extension of the Snap4City platform, designed to meet the unique demands of modern urban environments. Built on a robust and proven foundation, Snap4IDTCity enables real-time data processing, enhanced citizen engagement, and data-driven city management.

IDT Snap4IDTCity Use Case

Introduction

Snap4IDTCity: Tailored Smart City Solution

Snap4IDTCity is a tailored extension of the Snap4City platform, designed by IDTSolutions to meet the unique demands of modern urban environments. Built on a robust and proven foundation, Snap4IDTCity enables real-time data processing, enhanced citizen engagement, and data-driven city management, helping municipalities operate smarter and more efficiently.

Parent Platform

Snap4City — Learn more about the robust foundation that powers our smart city solutions.

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Our Platform

Snap4IDTCity — Explore our tailored smart city platform designed for modern urban environments.

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Platform Components

Smart City Platform Components

Living Lab Data Ingestion

Snap4IDTCity Living Lab data ingestion uses industry standard smart city infrastructure and ontology through smart data models which are used to build IoT devices which ingest data.

i

Industry Standard Infrastructure
Built on proven smart city frameworks and ontologies
S

Smart Data Models
Intelligent data structures for optimal IoT device integration
D

IoT Device Integration
Seamless connection and data collection from smart devices

R

Real-Time Visualisation
Live data display from AI cameras and smart sensors
A

AI-Powered Detection
Automatic detection and visualisation of city issues
U

Automatic Setup
No manual configuration required for device integration

Service Map

The Service Map displays real-time data from AI cameras and smart sensors. Defects like overhanging branches are detected and visualised with frequency indicators (e.g. picked up 3 times). No manual setup is needed once a device is added to the model platform, the system automatically maps and displays the data in the service system.

IoT Application

All sensor data is ingested into the platform via IoT applications. These applications collect and manage data from diverse smart city devices such as traffic sensors, weather stations, waste bins, and cameras ensuring seamless integration, standardisation, and real-time processing, enabling the system to support dashboards, alerts, automation, and analytics across city services.

D

Diverse Device Support
Traffic sensors, weather stations, waste bins, and cameras
P

Real-Time Processing
Instant data processing and analysis capabilities
C

Comprehensive Analytics
Dashboards, alerts, automation, and analytics support

Living Lab – Process Flow

Platform scope & modules

Snap4IDTCity supports a broad range of Smart City applications, including:

Urban Mobility

Management

Monitor and optimise traffic flows, public transportation, and pedestrian movement with real-time data analytics.

Environmental

Monitoring

Track air quality, noise pollution, and weather conditions in real time with advanced sensor networks.

Public Safety

Enhancement

Enhance emergency response with predictive analytics and situational awareness for safer communities.

Smart Governance

Digital Services

Streamline administrative processes and foster citizen participation through advanced e-governance platforms.

Energy & Utilities

Management

Optimise resource consumption and integrate renewable energy sources for sustainable city operations.

Work Order

Management

Maximise city resources via ERP integration using APIs for efficient municipal operations.

✓

Platform Benefits

The platform is modular, scalable, and compatible with existing city infrastructure, making deployment and integration seamless.

Platform Capabilities

Key Features

Open Framework

Interoperable

Works with diverse data sources and IoT devices for maximum compatibility and flexibility.

Customisable

Dashboards

Visualise data and insights in real time with fully customisable dashboard interfaces.

Advanced Analytics

AI Integration

Supports predictive modelling, anomaly detection, and intelligent decision-making capabilities.

Secure Data

Management

Robust encryption and access control to protect sensitive city data and ensure compliance.

Multi-Tenant

Architecture

Deploy across multiple zones or regions with isolated yet interoperable data silos.

Extensible

Integrations

Easily add connectors, services and extensions to meet evolving city needs.

Platform Information

Platform Details

🌐

Parent Platform

Snap4City (snap4city.org)

⚙️

Core Adaptations by IDTSolutions

Enhanced scalability, advanced analytics, and urban-specific application modules.

👥

Target Users

City administrators, public safety officials, utility providers, transportation planners, and citizens.

☁️

Deployment Models

Cloud-based, on-premises, or hybrid, depending on city infrastructure and security requirements.

System Components

Components

IoT Devices

Sensors and actuators across the city provide historical and real‑time data for infrastructure, environment, and services.

Data Sources

Consolidate silos: sensors, traffic systems, energy meters, and public service databases.

Orion Context Broker

FIWARE component managing context information across devices, sensors, and services.

Node‑RED Processing & Business Logic

Flow‑based programming for real‑time processing, automation, and server‑side logic.

Entity Directory

Registry of devices/entities: identification, capabilities, types, and configuration.

Smart Data Models

Standardised schemas enabling consistent aggregation, analysis, and action.

CKAN

Open/authorised datasets with role‑based access for transparency and collaboration.

Service Map

Interactive map for sensors, utilities, and real‑time city data in one interface.

Dashboard Builder

Customisable dashboards (e.g., Superset) with real‑time widgets and rich visuals.

Data Analytics (R Studio)

Advanced statistical analysis for planning and environmental monitoring.

Data Analytics (ML/Python)

ML models for prediction, optimisation, and behavioural insights across domains.

Platform Value

Why Snap4IDTCity Matters

⚡

Transform Your City’s Future

Snap4IDTCity gives cities the ability to operate smarter, respond faster, and engage citizens effectively. By consolidating data from multiple sources and providing actionable insights, the platform empowers administrators to make informed decisions, optimise resources, and enhance urban living for all residents.

✨

Smart Operations

Intelligent data‑driven decision making

⚡

Rapid Response

Real‑time insights for faster action

👥

Citizen Engagement

Enhanced urban living for all residents

Platform Security

Security & Compliance — Snap4IDTCity

Overview

Snap4IDTCity inherits the proven, end‑to‑end security and privacy approach used in the Snap4City platform. The platform is designed for secure edge‑to‑cloud data flows, role‑based access, and GDPR‑aware data handling, whether deployed on‑premise or in a customer cloud.

Key Security Features

🔐

End‑to‑end secure channels

☁️

Edge / Fog options

🧩

API and microservice protection

🛡️

Role‑based access & audit trails

🔎

Penetration testing & verification

Data Privacy & GDPR‑Aware Design

🔒

Privacy by design

👤

Personal data controls

🧪

Data classification & masking (recommended for council / enterprise deployments)

Identity, Authentication & Access Control

🔐

Single Sign‑On (SSO) and MFA

SAML/OIDC identity providers with multi‑factor policies

🔗

Scoped service accounts

Least‑privilege machine credentials with short lifetimes

Operational Security & Continuous Assurance

⏱️

Automated monitoring & alerting

Real‑time observability across services and data flows

🧭

Secure SDLC & open‑source transparency

Versioned dependencies, scanning and reproducible builds

Compliance & Certifications

GDPR compliance Project‑level audits

🧪

Living Lab Data Handling (callout)

The Living Lab component supports experimentation while protecting personal data: sandboxed environments, synthetic or tokenised datasets, and strict consent workflows to separate research data from production systems.

Sandboxed environments Synthetic or tokenised datasets Strict consent workflows