DEFENCE
From forward area border surveillance and IAF flight simulation to DRDO R&D and indigenous defence electronics, we engineer mission-critical technology that operates when conditions are extreme, connectivity is degraded, and failure is not an option. Try to fit this in two lines so that we will have some more space there before Defence Projects

Defence Projects & Programmes

Border Surveillance

AI-enhanced perimeter surveillance systems deployed along India’s land borders — integrating PTZ cameras, thermal sensors, and edge computing to deliver 24/7 threat detection and alert escalation in remote, challenged environments. This architecture enhances national resilience, reduces latency, and ensures continuity of operations even in degraded or disconnected environments.

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VR Flight Training Simulator

Emergency scenarios in live aviation carry irreversible consequences. Engine failures, avionics malfunctions, adverse weather events, and crew coordination breakdowns cannot be safely rehearsed at scale in real aircraft. KS Smart Solutions built the solution fully immersive VR-based flight simulators deployed across five IAF and Army Aviation stations, giving pilots a high-fidelity, repeatable training environment for the scenarios that matter most.

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CBT Platform with HAL

KS Smart’s Computer-Based Training (CBT) platform, deployed with Hindustan Aeronautics Limited, enables self-paced, scenario-driven training for aircraft systems and procedures — reducing dependency on instructor-led sessions and improving knowledge retention across technician and pilot cohorts.

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DIO Unit

Every radar, every flight control system, every satellite payload — they all need one thing before they can talk to each other: a reliable, high-speed bridge between digital signals and the systems that act on them. That bridge is the DIO Unit.

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2.5-Ton Truck Simulators with Indigenous 6DOF Platform

We developed an indigenous 6DOF motion-enabled 2.5 Ton Truck Simulator, bringing the same immersive simulation capability deployed for IAF pilots to India’s ground forces.

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Defence Infrastructure

5

+
Years of defence project delivery

20

+
Surveillance Systems deployed in active forward areas

75

+
Simulators Deployed Across Active Defence Bases

100

%
Make in India compliant

Research and Development

R&D in Collaboration with DRDO

An active DRDO R&D partner contributing to India’s Aatmanirbhar Bharat vision in defence technology developing indigenous simulation, avionics, and embedded systems capability that advances India’s strategic self-reliance.

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Allsolutions

Software Asset

Workforce a security
VR / AR

VR / AR
solutions

Industry 4.0
solutions
Machine Learning / AI

ML / AI
solutions
web and mobile

Web / Mobile Apps
solutions
Marketing Solutions

Marketing Solutions
solutions
Enterprises solution

Enterprise Solutions
solutions

Integrated Energy Monitoring System

The integrated energy monitoring system (EMS) is an application which is used to track a facility’s energy consumption and help in reducing it. The idea is to capture granular data for every equipment in the shopfloor, and analyze it to generate useful insights. These values can also be linked to data such as, size of production, itemized production, efficiency of equipment etc, to gain deeper insights on the business operations.
Solution
Smart energy meters are connected to various individual equipment to get accurate electrical parameter data. These are connected to an Edge IoT device, which captures the information from the meters either wirelessly (WiFi, 4G etc) or through wired protocols (Modbus, Profibus etc). Basic analysis and alerting at the Edge. Deeper analysis in a central cloud historian. Data is fed into a machine learning and prediction engine.
Location
This system is optimal to deploy for any kind of manufacturing setup, and can be deployed across the factory shop floor. The hardware is cost effective and easily available, while the software is modular and easily scalable. This enables easy deployments across geographies.
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Need
Electricity consumption is a major expense in any factory. The system provides SMS Alerts for proactive action and key dashboards to generate insights. Pre-Built machine learning algorithms have been developed to provide insights of future operation. Some examples of use cases are; Energy forecasting, Current and Power based condition monitoring, Root cause analysis, Max Demand Alerting, Equipment / Group of Equipment comparison across plants, Equipment / Group of equipment comparison over time, comparison of consumption across products and many more.
Impact
In general, the impact of implementing this system, along with the necessary actions would lead to anywhere between 2% - 8% energy savings, with certain factories achieving close to 15% reduction. Additional outcomes would include a 8% - 10% reduction in man hours (to engage in more productive and high value tasks) and a 2% - 5% improvement in equipment reliability.