NAWAH · AI CORE
NAWAH is TSI's AI-driven monitoring and analytics platform — a unified command environment that brings together video, License Plate Recognition, facial recognition, Big Data analytics and Large Language Model capabilities.
Built on a cloud-native, Kubernetes-based architecture, NAWAH is designed to unify multiple data sources into a centralised environment for monitoring, analytics and operational response.
It can present raw feeds such as CCTV video directly to operators, while also ingesting AI-derived events and analytics from edge devices, software models and third-party systems.
NAWAH ingests raw operational feeds and AI-derived data from cameras, LPR systems, sensors and other sources. It can present data as received, correlate information across systems, and apply analytics to create a clearer operational picture.
NAWAH supports operators after an incident or event has been detected by consolidating relevant information, assisting decision-making and initiating response processes.
End-to-end license plate detection, recognition and confidence scoring across distributed camera deployments, with support for GCC plates and custom formats.
Apply AI analytics to video and operational data, including traffic violations, driver behaviour and other model-driven use cases.
Detect dirty, foggy, blurred or misaligned camera views and raise maintenance alerts before image quality significantly degrades.
Process high volumes of transactions through layered analytics pipelines for temporal, spatial and predictive analysis.
Support 1:1 and 1:N face matching, watchlists, whitelists and intelligent search using metadata and operational filters.
Allow operators to interact with operational data using natural language, support root-cause analysis and generate recurring reports.
Central situational awareness with maps, alerts, live feeds and system status at a glance.
Trend analysis, traffic statistics, spatial analysis and short-term predictive modelling.
Watchlists, search, matching and alerting with lifecycle management and security workflows.
Natural-language interaction, operational search, incident analysis and automated reporting.
NAWAH brings together connected systems, AI-derived intelligence and operational information to support a wide range of mission-critical environments.
Unify video, traffic, LPR, sensors and city information to provide operators with a common operational picture across distributed urban environments.
Analyse vehicle movements, traffic conditions, licence plates and transport data to support safer, more efficient and better-informed mobility operations.
Bring together video, alerts, GIS, sensors and AI-derived intelligence to support situational awareness and coordinated incident response.
Explore Emergency Response →Monitor distributed facilities, security systems and operational conditions from a central environment, supported by AI-assisted detection and alerting.
Combine CCTV, facial recognition, LPR, watchlists, alarms and other security information to support monitoring, investigation and operational response.
Correlate historical and real-time information to identify patterns, trends, anomalies and emerging operational conditions for better decision-making.
Designed for scalable deployment on modern cloud infrastructure.
Containerised services and orchestration for resilience and availability.
Bring video, events, analytics and operational information into a common platform.
Support multiple detection, recognition, analytics and prediction models.
Integrate TSI and third-party systems without requiring wholesale replacement of existing infrastructure.
Talk to our team about how NAWAH can unify monitoring, analytics and operational response across your environment.
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