Automotive Edge-AI Fleet Platform

Vigilens Drive – In-Cabin DMS & ADAS Fleet Platform

Vigilens Drive is an all-in-one windscreen device combining Driver Monitoring Systems (DMS), Advanced Driver Assistance Systems (ADAS), and Vehicle Location Tracking on a certified AIS 140 commercial fleet platform.

Powered by a dedicated 17 TOPS edge-AI processor, Vigilens Drive executes behavioral analytics and road safety scoring directly on-device. It satisfies mandatory AIS 140 regulatory requirements—including GNSS tracking, emergency panic response, and tamper-evident design—while fusing driver state and road risk into a single intelligent safety platform.

  • Active In-Cabin Driver Monitoring (DMS): Mono global-shutter camera with 940 nm active IR scores drowsiness, gaze distraction, phone usage, and fatigue in real time—even in total darkness and through sunglasses.
  • Dual Forward Cameras & ADAS: Features wide and narrow forward-facing cameras providing Forward Collision Warnings (FCW), Lane Departure Warnings (LDW), Blind Spot Detection (BSD), and local drive recording.
  • Mandatory AIS 140 Telematics & Emergency: Integrated multi-constellation GNSS (including NavIC), CAN/OBD telemetry, hardwired backend-resettable panic alerts, and tamper-evident casing with internal battery backup.
  • Edge-AI & Data Minimization: 17 TOPS on-device compute keeps raw video stored locally while transmitting only tamper-evident, hash-chained risk events to ensure DPDP privacy compliance.
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Industrial Combustion Safety

Pilot Burner Control Unit (BCU) – Automated Ignition & Flame Supervision

Manual pilot monitoring risks delayed fault detection and unburned-gas build-up. The Pilot Burner Control Unit (BCU) automates the entire ignition sequence, continuously verifies flame presence, and safely locks out to ensure reliable, hazard-free combustion operations.

Engineered with deterministic C/C++ firmware and a safety Finite State Machine (FSM), the BCU delivers immediate fail-safe execution independent of network latency. It controls purge timing, air/gas valves, and confirms a stable pilot flame before permitting main burner startup.

  • Dual Flame Monitoring: Combines thermocouple and ionization flame sensors to independently verify genuine pilot flame presence before enabling the main burner.
  • Fail-Safe Shutdown & Safety Lockout: Executes instantaneous shutdown upon any fault condition, preventing unburned gas flow until a verified manual reset occurs.
  • Remote Modbus RTU & Smart Diagnostics: Integrates RS-485 Modbus for remote start/stop, live telemetry, and remote parameter tuning (pre-purge, ignition timing, sensitivity) without firmware changes.
Pilot Burner Control Unit
Enterprise Security & CCTV Intelligence

Sentinel AI – Every Camera, Watched by AI

Sentinel AI is a real-time CCTV intelligence platform engineered for enterprise security operations. It continuously analyzes up to 1,000 live RTSP camera feeds—detecting critical events like fights, fire, falls, and unauthorized intrusions in under 500 milliseconds on a single NVIDIA RTX 5090 GPU, without requiring camera replacements or rewiring.

While standard security operations record everything, human operator detection accuracy drops significantly after just 22 minutes of monitoring. Sentinel AI acts as an always-on virtual operator, sampling streams at 5,000 frames per second through a high-throughput, two-stage deep learning pipeline (YOLOv11x object detection combined with custom spatial reasoning) to deliver verified, actionable alerts to responders in under 5 seconds.

  • 6-Class Real-Time Situation Detection: Continuously classifies fights, fire & smoke, person falls, crowd surges, loitering, and vehicle perimeter intrusions using visual rules and zone-aware thresholds customizable per camera.
  • Sub-Second Single-GPU Pipeline: Processes 5,000 FPS with end-to-end latency under 500 ms on a single GPU (RTX 5090), providing 4.5× compute headroom to scale up to 5,000+ cameras without software rewrites.
  • Instant Multi-Channel Alerts & Forensic Archive: Dispatches verified alerts with video clips to SMS, email, Slack, PagerDuty, or SIEM in under 5 seconds, backed by a 30-day tamper-evident forensic clip archive and enterprise compliance.
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Sanitation Operations & Fleet Intelligence

Smart Swachh

Vehicle telemetry, edge AI, and disposal records are fused into one defensible record per collection event — providing a single, reliable source of truth that operators, supervisors, and citizens can read.

Traditional sanitation tracking only follows vehicle movement, leaving critical blind spots: cleanliness remains invisible, disposal unverified, and citizen complaints answered without proof. This platform bridges that gap by transforming passive GPS pings into verified, defensible sanitation work.

  • Multi-Signal Proof: GPS, time, edge cameras, and activity sensors work together to validate every collection event.
  • Cleanliness, Scored: Before-and-after imagery recorded per point and per shift to provide a machine-readable cleanliness signal.
  • Disposal Verified: Geofenced handover tracking and weighbridge integration confirm waste actually reaches authorized yards.
  • Evidence at Complaint: Generates a defensible record at citizen locations to accurately address and close service complaints.
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UI/UX Compliance & Research Platform

Interface IQ – Automated UI/UX Intelligence

Interface IQ is an AI-powered UI/UX compliance and research platform that helps designers evaluate user interfaces, identify usability and accessibility issues, and improve design quality before implementation across web applications and Figma designs.

The platform streamlines design workflows by combining automated validation, AI-assisted analysis, and actionable feedback to make UI/UX evaluation more accessible, consistent, and efficient.

  • UI/UX Compliance Agent: Evaluates interfaces against usability principles, accessibility standards, and design guidelines using automated rule-based checks and AI.
  • UX Research Agent: Supports research-oriented analysis through user queries, contextual information, and AI-assisted insights.
  • Automated Reporting & Visual Findings: Generates compliance scores, highlights affected elements directly on the interface, and provides actionable recommendations to fix visual hierarchy, spacing, contrast, and touch targets.
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AI · Real-Time 3D · VFX Pipelines

Distributed Rendering Farm

Hanyaa builds distributed rendering, Unreal Engine AI tooling, and AI media pipelines that take studios from script to final frame.

Tailor your pipeline to fit your studio's needs—from distributed render farms supporting Unreal Engine and Houdini, to generative AI tools embedded directly into your production workflow.

  • Distributed Rendering Farm: Spread render jobs across multiple machines and get finished frames back sooner—one unified farm for real-time and procedural pipelines (Unreal Engine & Houdini).
  • AI Plugins inside Unreal Engine: Generate 3D models, build populated scenes from text descriptions in minutes, and fine-tune Niagara particle systems directly inside the editor.
  • Pre-Production Storyboarding: Turn scripts directly into scene-by-scene storyboards to ensure production teams are aligned before shooting begins.
  • AI Video for Background Stories: Rapidly generate video for backstory, lore, and world-building moments without requiring a full live shoot.
  • Custom-Trained AI Models: Specialized production models trained for face swapping, upscaling, and slow motion.
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Vernacular Public Sector AI

Sarada AI™ – Dialect-Native Intelligence for Culture, Agriculture & Education

Sarada AI is a unified, citizen-facing artificial intelligence platform built to preserve Telangana’s distinctive oral culture and heritage while empowering grassroots livelihoods. Engineered as a strategic convergence of the Telangana AI Mission (T-AIM), the Saagu Baagu agri-initiative, and state heritage-digitization programs, the platform speaks, listens, and reasons in Telangana’s native dialect to bridge the digital divide for over one crore citizens.

Generic digital models homogenize language and fail to understand regional idioms, creating a steep adoption barrier for farmers and disconnecting younger generations from their history. TelanganaNela AI addresses this by training Indic LLMs on field recordings gathered across all 33 districts. Grounded with Retrieval-Augmented Generation (RAG) and validated by agronomists and historians, the platform delivers verified knowledge across voice-first IVR channels, WhatsApp bots, and immersive AR/VR experiences.

  • Rythu Chaithanya AI (Hyperlocal Agri-Advisory): Delivers voice and text guidance on soil, pest management, weather, market prices, and government schemes in the farmer’s own dialect—accessible via IVR and WhatsApp to ensure zero literacy barriers.
  • Charitra Sneha AI (Heritage & Corpus Preservation): Acts as an intelligent conversational guide for landmark monuments such as Ramappa Temple and Golconda Fort, while archiving oral histories, local festivals (Bathukamma, Bonalu), and endangered regional vocabulary.
  • Chinnari AI (Gamified Cultural Education): Brings Telangana’s history and values to life for K-12 students across government and Zilla Parishad schools through gamified conversational learning, quizzes, and classroom AR monument tours.
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