Medical imaging pipelines
Automated cell segmentation, spot counting, and gel electrophoresis analysis for diagnostic tools.
Aerial AI · Civil
AI-powered drones solving real-world terrain mapping problems
Programmable AI drones do more than show camera feeds — they observe surroundings, map areas, track objects, and provide real-time feedback for civil engineering and agriculture.
- Sensors
- 3D camera · LiDAR
- Output
- CAD-ready maps
- Nav
- Planned · Manual
- CV
- Road boundaries
AI drones & Visive
From capture to intelligent action
Advanced programmable platforms such as the DJI Matrice series are essential for firefighters, farmers, and livestock managers. Visive’s machine learning practice focuses on programmable AI drones wherever they create leverage — computer vision that maps, tracks, and feedbacks in real time.
Civil engineering
Terrain mapping system for 3D CAD reconstruction
Topographic maps matter in agriculture and civil engineering. One Visive solution helps construction firms reconstruct 3D models in CAD. The challenge: take recorded or live feeds from 3D cameras and LiDAR, then convert them into standard datasets any CAD system can use to rebuild the world in 3D.
Solution steps
Flight → sensors → geo-tag → CV → CAD export
1 · Fly the corridor
A drone with 3D camera and LiDAR flies the area of interest — pre-programmed path or manual navigation along the road/track.
2 · Record & stream
Sensors broadcast live or store onboard. 3D camera provides video; LiDAR provides point clouds — both geo-tagged with time.
3 · Fuse map data
The system creates map data from point clouds and textures using geographic coordinates and time — heights, bumps, and surface objects.
4 · Recognize & export
Computer vision recognizes road boundaries; prepared data is written in formats specific third-party CAD systems consume.
Featured related work
Vision and predictive programs in our portfolio
Road traffic analysis
Vehicle counting and type classification with deep learning.
Drive-thru authentication
Multi-mode identity with fine-grained vehicle brand/model and person recognition.
Face recognition & churn
HOG+CNN face systems and predictive churn models for data-driven retention.
Related
Complementary Visive solutions
AI Drones
Full aerial AI platform
AI dronesAI Robots & Drones
Automation solutions hub
Robots & dronesEdge Analytics
On-device vision inference
Edge analytics
Ready when you are
Create machine learning applications on aerial truth
Drones and AI belong together for real-world problem solving. With advanced programmable platforms, it is unsurprising they appear from firefighting to farming. Visive’s machine learning practice focuses on programmable AI drones wherever they create leverage: not only capturing what cameras see, but acting intelligently after observing surroundings — drawing area maps, tracking moving and static objects, and providing real-time feedback.
For civil construction clients, the high-level flow is deliberate. A drone fitted with a 3D camera and LiDAR detector flies the area of interest on a pre-coordinated path or under manual navigation. It travels along the road or track, records from both sensors, and either broadcasts live or stores onboard. Camera data is the video source; LiDAR is the point cloud; both are geo-tagged with time. Downstream systems fuse geographic coordinates and timestamps into map data with heights, bumps, and surface objects. Texture informs object and surface boundaries. Computer vision recognizes road boundaries. Outputs are written in formats specific CAD systems consume to reconstruct the world in 3D.
We offer clients the opportunity to create their own machine learning applications on top of this pipeline — and we connect terrain programs to a broader portfolio spanning medical imaging, traffic analysis, drive-thru authentication, face recognition, churn prediction, and speech products like Converse Smartly.
Additional source media
