Deploying Surveillance AI at Scale
Client: National Manufacturing Consortium
Executive Summary
The National Manufacturing Consortium (NMC), operating over 500 manufacturing units across India, faced a critical operational bottleneck: ensuring workplace safety and perimeter security at scale. Traditional manual monitoring was reactive, error-prone, and resource-heavy. QuillDB deployed a state-of-the-art Surveillance AI ecosystem, transforming their passive CCTV infrastructure into an active, intelligent safety shield.
The Challenge: Blind Spots at Scale
- !Safety Blind SpotsWith over 50,000 cameras, less than 1% of footage was reviewed, leaving safety violations unnoticed.
- !Latency IssuesCloud uploads caused 30-60s delays, rendering fire/intrusion alerts useless for real-time action.
- !Compliance GapsManual audit logs were incomplete, leading to regulatory fines and operational risks.
Our Solution: Edge-First Intelligence
We re-architected the surveillance stack, moving intelligence from the cloud to the Edge for real-time inference.
Edge Compute
NVIDIA Jetson modules process video locally, cutting latency to <2s.
Custom Vision
Models trained on client data for PPE, Fire, and Intrusion detection.
Command Center
Unified HQ dashboard with heatmaps and automated compliance reports.