Aerovista AI

AI that sees from the sky and decides in an instant.

A flying vehicle is moving 100 meters above the city. Below are a crowded square, parked cars and an ambulance landing pad. In less than a tenth of a second, Aerovista AI sees and recognizes every person, every vehicle and every landing zone in the scene, and decides whether the landing zone is safe. In testing it reached a 94% overall success rate.

Aerovista AI is an end-to-end computer vision system we built for flying cars, drones and unmanned aerial vehicles. It handles two critical tasks on a single platform, simultaneously and in real time: object detection and GPS-free position estimation.

1. Real-time object detection

The system recognizes four classes with high accuracy: people, vehicles, flying-car parking areas and air-ambulance landing zones. Our high-resolution multi-window scanning method means that even a distant pedestrian, only a few pixels wide in a wide-angle camera, isn't missed.

2. Automatic landing safety analysis

Finding a landing zone is only the start. The system automatically checks whether any person or vehicle is inside the zone and instantly marks it as "safe to land" or "not safe to land". The operator doesn't guess; the decision is already on screen. In an emergency landing, that saves seconds.

3. It doesn't get lost when GPS drops

Most aerial vehicles go blind when the GPS signal disappears. Aerovista AI calculates the vehicle's movement on the x, y and z axes from camera imagery alone. Optical flow technology analyzes how every pixel moves between consecutive frames to measure where and how far the vehicle has traveled. Walking people and moving vehicles are filtered out, so the measurement reflects the vehicle's own motion. Indoors, in jammed areas or between tall buildings, the system keeps track of its position.

4. An interface built for operators

A grid, coordinate axes and motion vectors overlaid on the live camera feed as an augmented-reality layer show the vehicle's real movement moment by moment. Detected objects and landing-zone status appear on the same screen. Complex data becomes a view you understand at a glance.

5. Uninterrupted performance

Object detection and position estimation run in parallel on the GPU. Our in-house smart scheduler continuously monitors system load. When load rises, it reallocates resources instantly and gives priority to the critical task. As a result, live 720p video is processed end to end at around 15 FPS.

Who is it for?

• Air ambulance and emergency response: Identifying a safe landing spot within seconds

• Search and rescue: Quickly locating people across wide areas from the air

• Border and facility security: Continuous monitoring of people and vehicle movement

• Smart cities: Aerial tracking of traffic and crowd density

• Autonomous delivery and air taxis: Safe navigation that doesn't depend on GPS

This system was developed for Cezeri, Baykar's flying car.