Integrating Smart CCTV Analytics with WebGIS for Urban Traffic & Safety in Nepal

Smart city infrastructure is rapidly evolving in Nepal. As a Geomatics Engineering student at Kathmandu University, I study how spatial technologies—specifically Geographic Information Systems (GIS) and Real-Time Video Analytics—can be combined to solve urban congestion and public safety challenges in cities like Kathmandu, Pokhara, and Lalitpur.

Traditional CCTV monitors operate as static, isolated video feeds. However, when camera nodes are geo-referenced in a WebGIS dashboard (using open-source tools like QGIS, GeoServer, and Leaflet):

• Traffic controllers can click a highway intersection on a spatial map to view live video feeds.
• Automatic spatial alerts trigger on the map whenever an AI camera detects a vehicle collision or illegal parking.
• Emergency responders can identify the nearest police patrol unit based on real-time GPS tracking.

Dahua’s WizMind ANPR cameras (such as the Dahua ITC series) use deep learning optical character recognition (OCR) sensors to instantly capture Nepalese vehicle license plates:

• Reads embossing and characters on embossed Nepalese vehicle plates in both English and Devanagari script.
• Logs license plate numbers, vehicle color, brand, and velocity vector into a central database.
• Integrates with traffic signal controllers to adjust green-light timing based on queue density.

Transmitting high-bitrate video streams across city intersections requires zero packet loss. Deploying Maipu Communication Layer 3 managed core switches and industrial outdoor PoE+ switches ensures high-power budget support for PTZ cameras and 10G optical fiber uplinks.

At E Three Sales & Services Pvt. Ltd. (Teku, Kathmandu), their engineering team collaborates with municipal authorities, security integrators, and IT consultants to deploy end-to-end smart surveillance backbones across Nepal.