Selected work

Systems already in the field,
not slides about them.

A sample of what we ship: a simulation-grade suite for autonomous flight, a live operational platform for healthcare, and a computer vision pipeline running in production. Full case studies, screens, and stack on request.

Autonomous Vehicles · Simulation & Training

High-Fidelity 6DOF UAV Simulator

Devron built a high-fidelity 6-degree-of-freedom (6DOF) UAV simulator that models a real aircraft closely enough for the autopilot to never know the difference: a physics-based engine model, a full aerodynamic (aero) model, and an environment and sensor model covering wind, atmosphere, GPS, IMU, and camera inputs. It runs as two things at once. To an engineering team, it's a development rig for validating flight control algorithms against realistic dynamics long before hardware is involved. To a training organization, it's a full training simulator with dedicated instructor and student panels, letting an instructor inject faults, set scenarios, and monitor a trainee flying the same aircraft model in real time.

Simulation core6DOF engine, aero & environment/sensor models
Engineering useFlight control algorithm development & validation
Training useDual instructor & student panels, live scenario injection
6DOF UAV Simulator · dual flight stations
Devron 6DOF UAV simulator rig with mission map, cockpit view, telemetry gauges, and dual flight control joysticks

The simulator rig. Mission map and telemetry on the left displays, live cockpit view and engine/attitude gauges on the right, with dual flight control joysticks for instructor and student.

Custom Software Development · Healthcare

SmartQueue: Real-Time Hospital Queue Management

Hospitals lose time, and patient trust, to queues nobody can see. SmartQueue replaces the paper token board with a live, multi-role platform: patients track their exact position from their phone, receptionists issue and manage tokens in seconds, doctors run their consultation queue with one tap, and hospital administrators get a real-time, cross-department view of every queue on the platform. It's built as a true multi-tenant system, so one deployment serves every department, every hospital, every role.

Roles servedPatient · Receptionist · Doctor · Super Admin
Core mechanismLive WebSocket queue sync, sub-second updates
ScopeMulti-hospital, multi-department, role-based access
Receptionist · Register walk-in
SmartQueue receptionist dashboard showing the walk-in patient registration form and live queue stats

Receptionist view. Token generation, walk-in registration, and full queue control from a single dashboard.

Doctor · Consultation session
SmartQueue doctor dashboard with call-next-patient controls and today's consultation stats

Doctor view. Call, complete, pause, or transfer a consultation, with live on-time rate and session stats.

Super Admin · Platform overview
SmartQueue super admin platform overview showing hospitals, active queues, and patient volume

Admin view. Platform-wide visibility across every hospital, department, and queue in one console.

Patient · Queue tracker (mobile)
SmartQueue mobile patient view showing live token position and estimated wait time

Patient view. Live token position, estimated wait, and doctor status, updating in real time on their own phone.

Artificial Intelligence & Machine Learning · Computer Vision

Vehicle Speed Detection: Real-Time Highway Monitoring

Devron built a vehicle speed detection system that turns an ordinary highway camera feed into calibrated, per-vehicle speed data. A custom-trained YOLOv26 model detects and classifies vehicles frame by frame, and a tracker follows each one across frames, measuring its pixel displacement between frames and converting that to real-world speed using a calibrated ground-plane mapping of the road. Vehicles are tagged with a persistent ID and a live speed reading, and anything over the configured limit is flagged for review automatically. The pipeline runs live on edge GPU hardware for highway monitoring, toll corridors, and traffic-enforcement deployments.

Detection modelCustom-trained YOLOv26 for vehicle detection & classification
Speed estimationFrame-to-frame tracking, calibrated to real-world distance
DeploymentReal-time inference on edge GPUs, automatic over-limit flagging
Vehicle speed detection · highway camera feed
Real aerial photograph of a multi-lane highway with an AI vehicle speed detection overlay: bounding boxes with vehicle IDs and measured speeds in km/h

Live detection feed. Each vehicle gets a persistent ID and a calibrated speed reading; anything over the configured limit is flagged automatically. Photo: real highway traffic, overlay is Devron's detection output.

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