Shatakshi counter-UAS detection, an Anti-Drone VR Simulator, and SkyEye AI monitoring — an indigenous airspace and perimeter security platform built with C3iHUB at IIT Kanpur, field-tested with Army units, and priced for mass deployment.
Backed By · Validated By
Shatakshi detects and neutralises aerial threats. The Anti-Drone Simulator trains operators on the exact same sensor logic, with zero live-drone risk. SkyEye extends AI vision to your ground-level camera network.
Counter-UAS detection system — EO/IR + RF sensor fusion
8-10 fixed EO/IR cameras + PTZ, 1-1.5km day detection, <200ms latency. Entry price under ₹50 Lakh. Field-tested with Army units.
Explore ShatakshiPhysics-true VR training — detection in the loop
Unreal Engine 5, real sensor physics, adaptive swarms up to 50 drones. The only trainer that uses the same sensor logic operators will field.
Explore the SimulatorIntelligent multi-tenant CCTV AI platform
8+ AI detection modules, unlimited cameras per site, 24/7 monitoring, 100% cloud or on-premise. Scales from 4 to 400+ cameras.
Explore SkyEyeAn indigenous counter-UAS detection system combining EO/IR sensor fusion, stereo-vision or LRF ranging, and live incoming direction or geo-coordinate tracking — built and field-tested with C3iHUB, IIT Kanpur, and Army units.
first configuration consists of The dual-camera stereo-vision rig triangulates detected aerial objects in real time, outputting live distance and GPS coordinates — not just a bounding box. Every detection streams a direction vector at 15 Hz to drive pan-tilt platform tracking automatically.
The second config ships with a camera array on a fixed platform with long range detection and PTZ camera for locking on to a target, this system integrates with a directed Kill system on a pan-tilt platform
This is the same sensor logic validated in the field: the screenshot below is an actual detection run, not a simulation.
Shatakshi has been built and field-tested with C3iHUB, IIT Kanpur, and Army units, real outdoor conditions, real Army personnel, real validation. Patent filing under process on the core detection architecture.
A Innovative interceptor drone concept, cued directly from Shatakshi's triangulated track — closing the loop from detection to neutralisation in one Indian-built system.
| Fixed Camera Array | 8MP bullet, single-EO or dual-EO/IR sensor, IP67, PoE — 10 units |
|---|---|
| PTZ Camera | 4MP, 40× optical zoom, 1km thermal range — 1 unit |
| GPU Processing Server | NVIDIA 96 GB VRAM, AMD 128 GB RAM, NVMe SSD |
| Software | Full Shatakshi counter-UAS platform — EO+IR fusion, PTZ tracking, ZMQ output |
| Pan-Tilt Platform | Mil-grade, machine-gun mountable, microcontroller-driven per detector feedback |
| AMC | 12-15% of system value annually |
| Validated By | C3iHUB IIT Kanpur · Army units |
Global VR trainers use gamified proxies. SkyAI trains operators on the exact same sensor logic they will field — real RF, acoustic, and optical sensor models, continuously calibrated with data from deployed Shatakshi units.
Photorealistic airports, urban, and critical-infrastructure environments on Unreal Engine 5. Meta and Varjo headsets. Multi-operator network mode.
RF, acoustic, and optical sensor models mirroring real hardware — continuously calibrated with data from deployed Shatakshi units.
Aerodynamics, propwash, battery drain, wind shear, thermals, RF interference, and GPS spoofing modelled to military-grade fidelity.
Adaptive swarms of up to 50 drones, stealth profiles, and electronic warfare. No-code authoring with versioned scenario libraries.
Offline Monte Carlo validation of detection models, plus a live KPI engine: time-to-detect, false positives, miss rate, session scoring.
API integration with RF and EO/IR scanners for hybrid live-VR exercises. Cloud-deployable and air-gap ready for classified sites.
An enterprise-grade, multi-tenant AI CCTV platform that deploys intelligent computer vision models on your existing camera infrastructure. Detect threats, enforce perimeter security, ensure safety compliance, and generate actionable insights — all in real time.
Each module is independently assignable per camera. Tenant admins dynamically configure which models run on each camera — no vendor lock-in, no wasted compute.
Detect and classify civilians and army personnel.
Multi-object tracking, occupancy counting, intrusion flagging.
Detect vehicles, classify types, read plates against watchlists; classify army vs civil vehicles.
Identify known individuals, flag unknowns, log all entry/exit events.
Mark safe/restricted zones per camera for persons or vehicles — useful in perimeter security.
Burglar alarm logic — any movement during off-hours triggers alerts.
Alerts when a guard or worker is absent from post beyond the allowed time.
Every violation logged to the database. Generate compliance reports on demand.
Assign buzzers per camera — physical alert on AI-triggered violations.
Built ground-up for multi-site enterprise deployments. Each tenant operates in a fully isolated environment with their own users, cameras, models, and data.
Creates tenants, sets camera & model quotas, manages platform-wide settings.
Adds cameras, assigns AI models per camera, manages users and alert rules.
Views live feeds, browses reports, monitors alerts — read-only access.
When your requirement doesn't fit Shatakshi, the Simulator, or SkyEye, our AI engineering team builds bespoke solutions — with the same sovereign-first, production-grade engineering.
Custom computer vision beyond our flagship products — object detection, tracking, scene understanding, specialised classifiers.
End-to-end custom AI model development — from data collection and annotation through training, optimisation, and deployment.
Enterprise generative AI — document intelligence, conversational agents, content generation, domain-specific LLM applications.
SkyAI Technologies is an Indian deep-technology company building an indigenous airspace and perimeter security platform — sensor-fusion detection hardware, kinetic interceptors, physics-true VR simulation, and AI-powered CCTV monitoring. Developed in collaboration with C3iHUB at IIT Kanpur, a national Technology Innovation Hub.
Ex-defence technologist; 16 years in aerospace, software, and simulation. B.Tech-M.Tech Aerospace, IIT Kanpur.
Professor, Wadhwani School of AI, IIT Kanpur. 25 years in the aerospace industry.
Professor, Computer Science, IIT Kanpur. Formal methods and autonomous systems.
15 years of experience across bureaucracy and the Armed Forces.
Defence and aerospace network spanning 7 countries.
15 years in finance across corporate and startup environments.
Mentors and advisors: Prof. A. K. Ghosh (ex-Aerospace Engineering, IIT Kanpur), aerospace and defence industry experts.
Developed by a team of researchers and engineers, Shatakshi integrates multiple layers of detection and countermeasures, including signal jamming, to detect rogue drones in real time.
The Army Design Bureau has designated IIT Kanpur as the single point of contact for a ₹500 Cr National Military Drone Technology Hub, offering full-stack capability from design to certification.
The system was developed by Sarvagy Shukla, a former IIT Kanpur student who is now the CEO of SkyAI, addressing limitations of radar-dependent detection.
News18 Uttar Pradesh coverage of Shatakshi's indigenous AI-based drone detection and neutralisation capability for border security.
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