AI Surveillance Systems
We build intelligent video surveillance platforms that think at the edge. On-premises AI inference, multi-camera orchestration, automated maintenance workflows, and resident integration — deployed and operating in live managed premises today.
CCTV That Actually Thinks
Traditional CCTV installations generate enormous footage volumes but deliver little intelligence. Cloud-based video AI is expensive and raises data-sovereignty concerns. We built the alternative.
On-Premises AI Inference
All AI runs locally at the deployment site — no video leaves the premises, no cloud compute cost per frame, no bandwidth overhead. Residents retain data sovereignty. Operators retain control.
Intelligent Event Detection
Intrusion detection, wrong-parking alerts, litter detection, vehicle recognition, and face recognition — multiple AI scenarios running concurrently, configurable per camera, with time-window scheduling.
Multi-Site Cloud Orchestration
A single cloud backend manages camera topologies, AI scenario configurations, and license enforcement across dozens of independent site deployments — with zero-touch provisioning for new nodes.
Vehicle Recognition & Access Control
Resident vehicle registration synced to boom barrier whitelists via API — automated gate access for registered vehicles without manual guard intervention at each entry point.
AI-Triggered Maintenance Workflows
When the AI detects a maintenance event — litter, wrong parking, a broken fixture — a task is automatically created in the workforce management system with location, camera reference, and timestamp.
Resident & Community Integration
A resident-facing mobile app (iOS & Android) for complaint management, maintenance tracking, tenant registration, and community announcements — with automated resolution updates when maintenance tasks are closed.
SajagAI — Built & Deployed
SajagAI is not a prototype — it is a production platform operating across live premises with real tenants, real maintenance staff, and real AI running 24/7.
96.8% Detection Accuracy
Achieved in live production environments — not controlled lab conditions. Our pre-filter pipeline eliminates over 90% of irrelevant frames before any model is invoked, enabling high accuracy on commodity hardware.
Five Integrated Systems
CamVigil (embedded CCTV nodes), AIEngine (on-premises inference), SajagAI Backend (cloud orchestration), AwaasIQ (resident app), and Workforce Operations (maintenance) — five systems engineered to work as one.
Ground-Up Hardware Ownership
We didn't integrate with existing CCTV hardware — we built our own embedded Linux camera nodes with custom Linux images and Qt/C++ camera management applications, giving full control of the entire stack.
Closed-Loop Resolution
From AI detection or resident complaint — through supervisor task allocation and field worker execution — to photographic proof-of-work and automatic complaint resolution. Every step tracked and auditable.
See the Full Platform
Read the detailed technical case study — architecture, component design, AI scenario engine, and the closed maintenance loop explained in full.
SajagAI Platform
An end-to-end intelligent video surveillance ecosystem — homebuilt embedded Linux CCTV nodes, on-premises AI inference, cloud orchestration, a resident mobile app, and integrated maintenance workflow in a single platform.
Compute-Efficient Video AI
How our pre-filter-first architecture eliminates over 90% of video frames before any deep learning model is invoked — enabling 7 concurrent AI capabilities on commodity on-premises hardware.
Interested in intelligent surveillance?
Whether you're a property developer, building manager, or enterprise facility operator — let's talk about what SajagAI can do for your premises.