Notice: We are currently performing system updates to enhance platform features and performance.
Intelligent campus and environmental reserve deployments featuring 8.0 km off-grid multi-hop LoRaWAN mesh networks, GPS fleet tracking, environmental monitoring, and automated lighting controls.
Explore interactive hotspots across our institutional deployment architecture—from GNSS transit fleet asset trackers and 8.0 km off-grid forest mesh relays to IP67 campus gateway masts and GIS operations command centers.

GPS Satellite Fix -> Sub-GHz LoRaWAN -> Campus Gateway
Low-power GNSS tracker reporting real-time locations, speed, geofencing, and motion alerts for campus buses and patrol vehicles.
End-to-end telemetry architecture from sub-surface field sensors and low-power wireless nodes to IP67 gateways and cloud analytics.
Field sensors deployed across institutional transport buses, research laboratories, campus perimeters, and dense reserve foliage.
An off-grid LoRaWAN mesh network deployed across dense, mountainous forest terrain to provide early wildfire warnings, asset protection, and anti-poaching telemetry over 8.0 km non-line-of-sight range.

High-elevation off-grid LoRa node installed on mountain ridge providing 8.0 km non-line-of-sight signal link.

Multi-hop mesh node deployed deep in forest sanctuary logging temperature, GPS patrol fixes, and asset security.
Enhancing operational efficiency, safety, and sustainability across institutional environments.
GNSS-enabled LoRaWAN trackers installed on campus shuttles and maintenance vehicles log route compliance, trip history, and geofencing boundaries.
Indoor & outdoor environmental sensors log CO2, temperature, humidity, and gas levels across lecture halls, research labs, and green spaces.
Centralized scheduling and zone-wise control of outdoor campus walkway lighting reduces energy wastage and ensures nighttime campus safety.
Contact our engineering team to integrate off-grid asset mesh networks, campus transit fleet trackers, and environmental monitoring systems.