02 · Sense
TSI's Connect portfolio brings together cameras, vehicles, sensors, edge devices and third-party systems. Sense applies AI to the data they generate — transforming video, telemetry, events and other information into intelligence that can be understood, correlated and acted upon.
Operational environments generate large volumes of data. The value comes from understanding what that data means. TSI applies AI at the edge and at the backend to detect, recognise, analyse and correlate information — helping operators move from individual data points towards a clearer understanding of what is happening.
Where supported, devices within the Connect portfolio can use onboard AI algorithms and processing capabilities to analyse data at source. These devices can generate structured intelligence such as detections, classifications, recognised licence plates, counts, events and alerts.
This derived intelligence can be piped into NAWAH for presentation, correlation with other information, or further consolidation with additional AI systems and operational tools.
Video, metadata, events and operational information can also be processed centrally using AI models, analytics and data tools. Backend intelligence can analyse information across multiple sources, allowing individual detections to be correlated into a broader operational picture.
This can include VLM scene understanding, facial and licence plate recognition, behaviour analytics, crowd intelligence, traffic analytics, Big Data analysis and information fusion across devices, sensors and connected systems.
Sense Suite is designed to be equipment-agnostic, allowing AI analytics and intelligence capabilities to be applied across compatible TSI and third-party devices and systems. This enables customers to leverage existing cameras, sensors and operational infrastructure without requiring wholesale equipment replacement.
Integration is subject to the capabilities, condition, interfaces and compatibility of the existing equipment. Certain legacy devices or systems may not provide the connectivity, data quality or interfaces required to support specific Sense Suite capabilities.
Sense Suite is TSI's portfolio of AI algorithms, analytics and intelligence tools. Capabilities can be deployed at the edge, centrally within the operational environment, or integrated into a customer's existing technology ecosystem depending on the use case and architecture.
Our AI roadmap continues to expand towards higher-value analytics that provide greater context, correlation and predictive insight.
Automatically assemble related video, sensor events and operational records into a coherent incident timeline to accelerate investigation and review.
Allow operators to search large volumes of recorded or live video using everyday language, objects, behaviours, locations and event context.
Combine live sensor information, GIS and AI analytics to model operational conditions and provide a continuously updated view of the environment.
Analyse historical patterns, live events and environmental conditions to identify emerging operational risks before they become incidents.
Use AI to correlate, prioritise and summarise multiple alarms and detections so operators can focus attention on events with the highest operational significance.
Reason across video, audio, text, sensor telemetry and operational records to build a richer understanding of complex situations.
TSI develops selected AI capabilities through our in-house engineering team and works with established technology and AI partners where specialised or proven models are better suited to the operational requirement.
We create and enhance selected AI algorithms, analytics and integrations around customer requirements, operational workflows and deployment environments.
Where appropriate, we integrate established partner technologies and specialised AI capabilities rather than unnecessarily recreating proven solutions. This keeps Sense Suite flexible and focused on operational outcomes.
Sense transforms connected data into intelligence. NAWAH can bring that intelligence together with other operational information so operators and downstream workflows can turn understanding into action.
Bring devices, sensors and compatible third-party systems into the operational environment.
Apply edge and backend AI to detect, recognise, analyse, correlate and derive intelligence.
Use intelligence to support decisions, workflows, instructions and coordinated action.