Transforming Residential Security at Scale: How IndoAI Helped La Residentia (Greater Noida West) Modernize Safety, Access, and Visibility with AI Cameras
“IndoAI isn’t just a security tool. It’s a command center that watches, learns, and alerts — without human error. We didn’t realize what we were missing until we switched it on.”
— Rajeev Bhandari, President, RWA La Residentia
1. Overview: The Scale & Complexity of La Residentia
La Residentia is a landmark gated residential society in Greater Noida West with over 1900 flats across 20+ towers. Home to more than 5,000 residents, the township includes families, senior citizens, working professionals, and visitors, and has extensive shared infrastructure:
- Basement parking, rooftops, control rooms, lift machine rooms
- Gym, clubhouse, society office, and garden
- Multiple entry and service gates, each managed by guards in shifts
Despite guards, boom barriers, and legacy CCTVs, the Resident Welfare Association (RWA) struggled with poor visibility and reactive incident management.
2. The Security & Operations Problem
- Unreliable Entry-Exit Logs: Staff often used proxy entries; no time tracking.
- No Cab Visibility: Ola/Uber drivers weren’t logged or tracked. Loitering in basements was common.
- Unverified Visitors: Though MyGate or NoBroker apps were used, they relied on guards to manually enter names, capture photos, and phone numbers — with no facial intelligence or behavioral alerts. Exit entry of visitor in was a big issue
- Restricted Zones Unsecured: Rooftops, control rooms accessed without alerts. No real-time monitoring.
- Reactive Monitoring: CCTVs were passive. Footage checked only after incidents.

3. IndoAI’s Solution: The Turning Point
- The RWA discovered IndoAI through a neighboring Noida society. After a live demo, they saw the potential: a real-time AI platform with:
- Edge-based AI cameras with facial recognition, loitering detection
- WhatsApp-integrated visitor verification
- Behavioral intelligence: alerts for tailgating, overstay, or unauthorized access
4. Hybrid Implementation Strategy: AI + IP for Cost-Effective Coverage
Managing 20+ towers required a smart, scalable approach. IndoAI proposed a hybrid design:
AI Edge Cameras: High-Risk Zones
- Entry/Exit Gates, Rooftops, Pump Rooms, Clubhouse, Society Office, Blind Basement Corners
- Corridors, stairwells, gardens, general tower perimeters, parking zones
- IndoAI AI server ingests both AI & IP feeds
- Real-time face tagging, loitering detection
- Unified dashboard with facial logs, alerts, and approvals
5. Key Use Cases Activated
- Facial Attendance for Staff: No proxy entry; tamper-proof logs. Residents notified of maids/drivers absent.
- Visitor Snapshot + WhatsApp Approval: IndoAI cameras auto-capture the visitor's face at the gate, bypassing reliance on guards for photos or data entry. The resident receives a live snapshot via WhatsApp for instant approval or denial.
- Ola/Uber Cab Tracking: Driver face + vehicle number logged. Overstay alerts triggered.
- Restricted Zone Access Control: Unauthorized rooftop/pump room entries flagged with real-time alerts.
- Loitering Detection: Suspicious presence in corridors, parking flagged and logged with face/video.
- Elderly/Child Alerts: Kids seen alone late at night or elderly in high-risk zones trigger safety alerts.
Timeline
Day | Milestone |
Day 0 | IndoAI demo & approval |
Day 2 | Site audit & zone mapping |
Day 5 | Camera deployment begins |
Day 7 | Staff + vendor onboarding |
Day 10 | Visitor and cab tracking systems configured |
Day 14 | IndoAI fully live with alerts and dashboard |
7. Results Within 30 Days
Metric | Before IndoAI | After IndoAI |
Ola/Uber tracking | None | 100% driver face + vehicle ID logs |
Maid/Driver accuracy | Manual & proxy-prone | 100% verified facial attendance |
Visitor verification | Photo/manual entry via MyGate/NB apps | Auto-photo + WhatsApp approval, guard-independent |
Rooftop/pump alerts | Post-incident | Real-time AI alerts |
Delivery agent misuse | Unmonitored | 85% reduction via face-tagging + loitering detection |
8. Strategic Benefit of Hybrid Model
Camera Type | Use Case | Role |
AI Camera | Sensitive zones | Real-time facial recognition, alerts |
IP Camera | General coverage | Video feed processed by IndoAI backend |
Cost-effective scaling: AI only where needed, IP for wide-area visibility
- Single dashboard: All cameras unified under IndoAI platform
- Future-ready: IP zones can be upgraded to AI as required
9. Why IndoAI is Better than MyGate / NoBroker Apps
While MyGate and NoBrokerHood are widely used, they are app-based access systems, dependent on guard input and resident action. IndoAI offers an automated, intelligent, and real-time alternative.
Feature | MyGate / NoBroker | IndoAI |
Visitor Approval | Guard enters visitor info + photo | IndoAI camera auto-captures face + sends to resident via WhatsApp |
Staff Tracking | Guard logs or QR scan | Facial recognition with time logs + real-time alerts |
Cab Logging | Not supported | Driver face + vehicle tagged, overstay alerts triggered |
Loitering Alerts | Not available | AI-based movement analysis and auto-alerts |
Restricted Zone Access | Not supported | AI alerting + video tagging for critical zones |
Integration with Cameras | No | Deep integration with both AI and IP cameras |
Offline Mode | Not functional | Offline capture with auto-sync |
Incident Evidence | Not available | Auto-tagged video logs linked to faces and locations |
10. Resident Feedback
“We feel more in control. Everything — from maid timing to cab driver movement — is logged and visible. IndoAI made our guards smarter, not redundant.”
— Neha Sharma, Security Committee, La Residentia
11. Conclusion
La Residentia transitioned from outdated surveillance and manual apps to an intelligent, layered AI-based system. With real-time visibility, behavioral alerting, and hybrid camera integration, IndoAI delivered both control and cost efficiency that traditional app-based visitor systems could not.
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