elipptic5G is built on three integrated layers: a purpose-designed UAV, a mobile ground control system, and a cloud-based AI post-processing engine — each engineered for reliability in demanding field conditions.
A carbon-fibre hexacopter engineered for industrial site inspection — with survey-grade RTK positioning, GoPro Hero 12 imaging, and a flight endurance that covers 100 hectares in a single autonomous mission.
The airframe integrates 5G SimHAT for live streaming, FHSS radio at 5.8GHz for interference-resistant control, RTK at 2.4GHz with NTRIP for centimetre-accurate positioning, and a Remote ID module for regulatory compliance.
The elipptic5G system is a containerised, microservices-based architecture — deployable on local servers or in the cloud. Every layer communicates securely via token-authenticated APIs.
Mission planning app. Connects to the UAV via 5.8GHz FHSS AP link. Executes autonomous waypoints, captures telemetry, and transfers data to the server without human intervention.
Cloud or on-premise SaaS post-processing. Runs 3D photogrammetry, ML object detection, and auto-reporting. MySQL database with indexed search, map overlay, and secure token access control.
Role-based portal access for multiple simultaneous users. Clients access reports, 3D models, and mission history through secure, user-friendly interfaces on web or mobile.
All AI models are developed and trained in-house by 3Cell's engineering team, using proprietary annotated datasets supplemented with open-source image libraries. Models are updated continuously as new field data is collected.
Two-stage pipeline using SIFT feature extraction followed by CNN classification. Identifies antennas, RRUs, MWs, MHAs, and structural defects with 95% accuracy.
CNNSSDSIFT10k+ images93% antenna model accuracyReal-time CNN/SSD detection trained on 15,000+ annotated images across diverse environmental conditions — daylight, low-light, and high-contrast backgrounds.
CNNSSD97% accuracy15k+ imagesReal-timeU-Net architecture for pixel-level segmentation — the standard for dense prediction tasks. Achieves 93% segmentation accuracy across 12,000+ training images.
U-NetSemantic Segmentation93% accuracy12k+ imagesMulti-class CNN/SSD trained on 50,000+ images. Processes live aerial footage at 30 frames per second — achieving 95% vehicle and 93% person detection accuracy.
CNNSSD30fps50k+ imagesMulti-classAll communication frequencies are licensed and encrypted. The FHSS switching mechanism makes interception cryptographically impractical. Remote ID ensures full regulatory compliance with aviation authorities.
Access Point link between elippticMOBILE and the UAV. Frequency-Hopping Spread Spectrum switches frequencies ~60 times per second — preventing interception and ensuring no interference with 5G base stations. Licensed and encrypted.
Real-time Kinematic positioning module for centimetre-accurate geo-tagging. NTRIP protocol enables secondary verification via base stations. Supports GPS, GLONASS, Beidou, GALILEO, and QZSS constellations. Data is licensed and encrypted.
Integrated 5G SimHAT (LTE Cat-4, multi-band) enables low-latency HD video streaming and real-time mission data telemetry. Supports LTE-FDD, LTE-TDD, and fallback to 3G/2G. Ideal for remote area operations.
Digital drone identification enabling aviation authorities (including the UK CAA) to track and verify the system in real time. Ensures full regulatory compliance for operations in controlled airspace. Supports mandatory registration procedures.
Plan missions, monitor live telemetry, view the drone's camera feed in real time, and transfer captured data to elippticENGINE — all from a single app. No pilot required once the mission is launched.
Satellite overlay with real-time drone position, flight path, and waypoint visualisation.
HD drone camera streamed in real time over 5G. Field teams see exactly what the drone sees, instantly.
Upload waypoints, set altitude, trigger autonomous take-off, and monitor battery and signal strength.
elippticENGINE is the SaaS post-processing brain of the platform. It receives flight data from elippticMOBILE, runs photogrammetry and ML pipelines in parallel, and serves structured reports and 3D models to authorised users.
Generates full 3D models from flight imagery using photogrammetric reconstruction. Outputs include point clouds, mesh models, and 360° structural views — ready for BIM integration.
Runs trained CNN/SSD or U-Net models against captured imagery. Detects, counts, and classifies objects across 80+ categories with configurable confidence thresholds.
Produces customisable inspection reports with coordinate data, equipment inventories, flagged anomalies, and map overlays — automatically, without analyst intervention.
Token-based authentication with role-level permissions. MySQL backend with indexed search. Deployable on 3Cell cloud infrastructure or on-premise client servers.
Our engineering team is happy to discuss specific technical requirements, integration constraints, or custom AI model development.