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Location Engine

Accurate. Efficient. Intelligent.
Transform raw telemetry into precise location intelligence.

Location Engine Overview

TG’s cloud-based Location Engine turns GNSS, Wi-Fi, cellular, and LoRaWAN inputs into clean, trusted positions. It shifts heavy lifting from the device to the cloud to improve accuracy and extend battery life, while keeping data secure from edge to endpoint.

Core Features

Cloud Location Solver

Resolves GNSS scans in the cloud, and manages Wi-Fi access points and cellular tower timing data to reduce on-device work and save power.

Customizable Location Services

Enable or disable services and switch providers to balance accuracy, battery life, and cost for each use case.

Optimized GNSS Scanning

Uses almanac updates plus estimated time and position to speed lock and improve performance in difficult environments.

Forward Error Correction

Adds redundancy for LoRaWAN uplink and downlink so payloads arrive intact even with weak signal.

Device Management Integration

Provision, monitor, and control devices at scale from one dashboard. Every change is recorded.

Rapid Integration

Skip bespoke parsers. Prebuilt enrichment pipelines standardize outputs across hardware models.

End-to-End Security

TLS 1.3 in transit and AES-256 at rest. Keys are rotated, payloads are validated, and actions are logged.

Technical Details

Cloud Location Solver

Positions are computed server-side instead of on the tracker. The engine accepts raw satellite measurements, Wi-Fi BSSIDs, Cell-ID timing data, and LoRaWAN geolocation lookups, then outputs normalized coordinates with accuracy metadata. Fallback rules maintain continuity when GNSS is unavailable.

Customizable Location Services

Admins can choose preferred providers per fleet or device tag through the UI or API. Service toggles apply without firmware rebuilds, which keeps rollouts fast and controlled.

Optimized GNSS Scanning

Devices download current orbital data on demand. With a fresh almanac and a good time reference, time-to-first-fix drops and multipath noise is filtered more effectively.

Forward Error Correction

Redundant symbols allow the server to reconstruct missing bytes over noisy LoRaWAN links. This improves position fidelity for remote sites and underground assets.

Device Management Integration

Health signals include RSSI, battery, temperature, and last contact. Bulk commands and parameter packs use authenticated HTTPS or MQTT. Conflicts are validated before apply, and failures retry until confirmed.

Security Model

Requests are signed and rate-limited. Audit logs capture actor, target, action, and outcome for every operation, which supports compliance reviews.