Published: Jul 08, 2025

Smarter eyes. Safer operations.

Manual oversight can’t keep up with the speed and scale of modern operations. From construction zones to crowded terminals, the risk of delay, error or injury rises as complexity grows.

NCS KAI SENSE leverages predictive Video AI and multimodal intelligence to transform raw video streams from drones, cameras and robots into real-time, actionable insights. Far beyond traditional surveillance, it anticipates risks, detects anomalies and automates responses. As a result, you can reduce human error, enhance situational awareness and enable faster, smarter decisions across operations.

Already in use across public safety, manufacturing, healthcare, transportation and more, KAI SENSE empowers teams with the intelligence to see what matters, before it becomes a problem.
 

The KAI SENSE suite brings together four integrated configurable tools, working in sync to streamline the entire Video AI lifecycle:

1. KAI Unified Platform (KAI UP)
   A unified platform to deploy, manage and visualise your Video AI models across edge, near-edge or cloud environments. Delivers seamless integration into your existing infrastructure for real-time insights and control. 
2. KAI Co-Create (KAI CC)
   A low-code video intelligence automation tool that lets teams annotate footage, train models and build custom video analytics with minimal complexity. Built-in modules support object detection, image recognition and multi-model analysis.
3. KAI Video Analytics (KAI VA) Library
   A growing collection of ready-built video analytics models that help you plug intelligence directly into your workflows. No extensive setup required. Just search, select and deploy.
4. KAI Video Search and Summarisation Platform (KAI SnS)
   KAI SnS streamlines the entire video search and summarisation process by using powerful AI models. It enables users to find and understand video content quickly through natural language queries, making data retrieval faster and more intuitive. Read more about KAI SnS here.
   
   Together, these tools allow continuous model improvement and scalable deployment, without the overhead of traditional MLOps.

Whether you are deploying at a remote farm, inside a factory or across multiple commercial sites, KAI SENSE is built to adapt to your environment, not the other way around.

Fast start with KAI VA library
Tap into a wide range of pre-packaged Video AI models designed for common industry use cases, from safety compliance to object tracking. Save time and accelerate value.

Build your own with KAI CC
Easily develop custom VA models tailored to your unique environment and challenges. No data science team required. Train, iterate and improve continuously.

Deploy anywhere with KAI UP
Run models where they make the most sense: At the far-edge for low-latency environments, near-edge for balance or in the cloud for centralised processing. Gain visibility, manage devices and visualise data in real time.

This modular approach means you can start small and scale as needed, without disruption.
 

For industries managing high-risk environments or sprawling operations, KAI SENSE helps teams stay one step ahead. By detecting people, objects and behaviours that matter, it turns video into a decision-making advantage.

Here’s how it helps:

Wherever there’s video and wherever there is risk, KAI SENSE helps you see it, solve it and scale it.
 

Challenge

A manufacturing company needed to reduce on-site safety incidents related to improper uniforms and gear.

Solution

Using KAI CC, they built a human detection and uniform recognition model to identify non-compliance in real time.

Outcome

• 20,000 images analysed and annotated in 3 weeks.
• Model trained and deployed in just 1 day.
• Immediate alerts reduced enforcement overhead and improved safety compliance across the floor.
   

Smarter crowd management in public spaces

Challenge

A government agency required accurate crowd counting and behaviour tracking to enhance public safety and optimise space utilisation.

Solution

KAI UP enabled real-time people counting, alarm triggers and visualised insights through heatmaps and monthly reports.

Outcome

• More effective event staffing and resource allocation.
• Improved campaign targeting based on footfall trends.
• Better SOPs for crowd control and emergency response.

These are just two of many real-world deployments proving the power of video intelligence when applied at scale.