Neural networks that never lose the ID.
FlyPix AI is the no-code deep learning object tracking software that uses neural networks to follow vehicles, vessels, wildlife, and equipment across frames and repeat captures — holding persistent IDs through occlusion and reconstructing trajectories and speed across satellite, aerial, and drone imagery, saving up to 99.7% of manual monitoring time.
Re-tracking one sequence by hand takes 997 seconds.
FlyPix AI takes 3.
Following hundreds of objects through occlusion, crossings, and dropped frames means re-matching every identity by eye, frame after frame. It does not scale. FlyPix AI runs a deep neural tracker that links detections, holds IDs, and re-identifies objects automatically, so movement stays current with every new pass over the site.
Analysts step through frames re-assigning identities by hand. Tracks fragment, IDs swap whenever objects cross or vanish, and the picture is stale before anyone can act on it.
Up to 99.7% time saved. A deep learning model holds consistent identities and re-identifies objects, giving you georeferenced trajectories you can replay over time and export straight into your GIS.
Neural networks that follow every object across time — without the code.
Deep learning object tracking software uses neural networks to detect multiple objects and link each one across a sequence of frames or repeat captures, holding a persistent identity for every object even when it is occluded, crosses paths with others, or leaves and re-enters view. FlyPix AI is a no-code platform that pairs a learned detector with a deep association model to track vehicles, vessels, wildlife, and equipment across satellite, aerial, and drone imagery and video. You label a handful of examples, and the engine trains a model, holds IDs, and reconstructs every trajectory across your whole sequence — turning hours of manual frame-by-frame re-matching into seconds of decision-ready movement intelligence.
Everything you need to track objects with deep learning
One platform to detect, associate, re-identify, and measure every moving object across your imagery — from a short drone clip to a multi-month satellite stack.
Neural multi-object tracking
A deep learning model links the same object from frame to frame and assigns it a stable identity across the entire sequence.
IDs held through occlusion
The association model keeps each identity intact when objects overlap, cross, or disappear behind cover for a few frames.
Object re-identification
Learned appearance features recognise an object after it leaves and re-enters view, so its track resumes under the same ID.
Trajectory & speed
Reconstruct continuous movement paths and measure displacement, heading, and speed with georeferenced accuracy.
Movement-pattern analysis
Surface routes, dwell zones, and activity hotspots from thousands of neural tracks to understand site behaviour.
No-code model training
Train a deep tracker for any object you need to follow by labelling a few examples — no programming, no ML team.
From raw captures to neural trajectories in four steps
A no-code workflow built so analysts, operators, and planners — not just data scientists — can run production-grade deep learning tracking.
Upload your sequence
Bring drone video or a stack of satellite or aerial captures of the same area over time — RGB, multispectral, SAR, or LiDAR.
Label your object
Mark a few examples of the object you want to follow. A handful is enough for the model to learn its appearance.
Run the neural tracker
FlyPix detects each instance, associates it across frames and dates, holds IDs through occlusion, and re-identifies on re-entry.
Explore & export
Replay trajectories on interactive maps and dashboards, then export tracks and vector layers to your GIS.
Deep learning tracking in any kind of imagery
A neural tracker is not limited to true-colour video. FlyPix AI follows objects across the full range of remote-sensing data — track vehicles in RGB, hold identities through cloud and darkness with SAR, separate moving targets with multispectral bands, and ground trajectories in terrain with LiDAR — all in one workspace.
See all supported formats →Built for every movement-driven team
Train deep learning trackers for the exact objects your mission needs to follow and get trajectories tailored to your domain.
Maritime
Vessel routes & re-id
Transport & logistics
Vehicle & fleet movement
Wildlife & conservation
Animal counts & tracks
Mining
Haul-truck movement
Defense & security
Wide-area tracking
Construction
Equipment & site activity
Energy
Crew & asset movement
Urban planning
Traffic & flow patterns
Drone operations
Live aerial tracking
Mapping & GIS
Trajectory layers
Why teams choose FlyPix AI
The platform removes the bottlenecks that slow deep learning object tracking: manual identity re-matching, specialist headcount, rigid formats, and tooling that cannot keep pace with new captures.
Tracking in seconds
Reconstruct thousands of neural trajectories across a full sequence in seconds instead of hours of frame-by-frame re-matching — and repeat it on every new pass.
A true no-code platform
Analysts and operators train and run deep learning trackers on their own imagery — no programming, no data-science team, no vendor queue.
Identities that survive occlusion
Learned appearance features hold IDs through crossings and re-identify objects on re-entry, so tracks and counts stay reliable.
Scales to any area
Follow a few assets across a single site or monitor movement across an entire region at the cadence your mission demands.
What geospatial teams say
From industrial pilots to research labs to environmental missions — see how teams put FlyPix AI to work.
We ran a joint pilot with FlyPix AI in an industrial setting. We were impressed by the dedicated, easy-to-work-with team, their expertise, and how quickly they applied the technology to a novel use case.
FlyPix AI helped us go from idea to proof of concept in record time. The team was responsive, the platform was easy to integrate, and we tested geospatial insights on real property data within days.
FlyPix AI made it remarkably easy to turn drone imagery into actionable results — truly next-gen tech, delivering AI-driven analysis and cloud computing within minutes without complex setups.
What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.
FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.
Working with FlyPix has significantly elevated the impact of our clean-up missions. We're proud to collaborate with a team that shares our commitment to environmental responsibility.
Turn your imagery into neural movement intelligence.
Create an account and reconstruct your first deep learning trajectories in minutes — no credit card, no code. Want help scoping your tracking workflow? Our geospatial team will set it up with you.
Deep learning object tracking software, answered
The questions analysts, operators, and planners ask before switching to neural-network movement tracking.
What is deep learning object tracking software?
How is deep learning tracking different from traditional object tracking?
Do I need coding or ML expertise to use FlyPix AI?
How does the model handle occlusion and re-identification?
Can FlyPix AI track objects across satellite captures taken days apart?
How much time can FlyPix AI save versus manual tracking?
Can I try FlyPix AI on my own imagery?
Follow what your imagery is hiding.
Join 10,000+ users automating deep learning object tracking with FlyPix AI. Upload your first sequence and watch neural networks follow every object and hold its ID in seconds.