Vechür
Institutional drone education system

An End-to-End Drone Education System for Your Institution

Curriculum, instructors, hands-on training, coding, 3D simulation and student tracking in one system.

Minimum 10 studentsRuns in the browser, no installation
Vechür AI Akademi
Vechür AI Academy flight area: a firefighting mission flown in simulation and the stage score screen
On the platform
47drone courses
53coding stages
12image processing lessons
100%Turkish interface
In the field · First term 2026
23+students
3groups
Sakarya Technoparkdelivered at
Instructors and program team

The program is designed and run by AI and drone engineers.

The curriculum and missions are prepared under the direction of Vechür's team, which builds AI and image processing projects. In class, students work with Vechür's technical team.

Vechür Havacılık · Sakarya TechnoparkPlan the program with this team
  • Assoc. Prof. Dr. Ali Furkan Kamanlı, Program Director of Vechür AI Academy
    Program DirectorAssoc. Prof. Dr. Ali Furkan Kamanlı

    Electrical and Electronics Engineer. He leads the Academy's program content, drawing on his experience in artificial intelligence, image processing and embedded systems.

    15+ years of experience30+ projects
  • Umut Sert, Vechür AI Academy instructor and Vechür CTO
    InstructorUmut Sert

    Electrical and Electronics Engineer and Vechür's CTO. He teaches at the Academy and works with students in class.

    InstructorVechür CTO5+ years of experience
What's in the system

Not a single course. An end-to-end education system.

Hands-on training and the digital platform work together as two layers of the same program.

Vechür AI Academy platform

Write the code. Fly the drone. See the result.

A Turkish-language drone learning environment that runs in the browser.

1Build · command cards
Program built with command cards: take off, repeat, conditional while loop, break, assign, add, forward, left
2Run · 3D simulation
The platform's flight area: 3D mission scene, front camera, success criteria and sensor panel
3Read · Python view
# İlk Yangın  (1 yangın · göl kuzeyde X248 Y135 · yangını kameran bulur)from tello_sim import Simulatordrone = Simulator()drone.takeoff()drone.goto(248, 135)drone.load_water()drone.ccw(90)while drone.get_mission_pad_id() != 4:    drone.forward(20)drone.drop_water()drone.back(60)drone.land()
  • Gradual commands. Movement, mission, logic, memory and function commands unlock by level and course.
  • Controlled runs. Normal, fast, slow or step by step; a course restarts in one click.
  • Nothing to install. Progress is saved to the student's account.
Learning method

Learning starts with a mission.

Instead of explaining a topic first, we give a mission that needs solving. The moment a student needs a new concept, the tool for that concept unlocks.

  1. 1 · MissionDraw a square: the same move four times
  2. 2 · NeedAdding the same commands again and again gets hard
  3. 3 · ToolThe repeat command comes in
  4. 4 · SolutionA shorter, cleaner program
The same approach repeats for every concept:
loopsconditionssensorsfunctionsvariablescameratarget tracking
Mission card First Fire: the fire's location is unknown and must be found with the camera
A real mission card: the fire's location is unknown; the student can only find it with the camera. The need for the camera comes from the mission itself.
3D drone simulation

Not memorised code, an algorithm that adapts

Some elements of the mission world can change on every run. Success comes not from a memorised command sequence but from a program that reads its surroundings and decides.

Can change on every run
Target position
Wall layout
Sign numbers
Schematic
In the 3D scene
droneflight pathtargetswallsringsmission pointscamera field of view
From digital to real drones

Learn in simulation. Make sense of it on the real system.

Students rebuild the algorithm and control logic they developed in simulation in real drone exercises.

CommandAlgorithmSimulationTestReal drone exercise
Academy · simulation
Flight area in the 3D simulation: mission scene, front camera and success criteria
The algorithm is built, tested and debugged.
Workshop · real drone
Students assembling, flying and coding drones in a workshop
The same mission logic is rebuilt on the physical system.
A fully assembled quadcopter: frame, motors, propellers and flight electronics
Workshop · mechanical build

Students build the drone piece by piece, by hand.

Students don't only write code; they also build the drone mechanically. In the workshop they put together the frame, motors and connections of the system they control with code.

FrameMotors and propellersElectronic connectionsPre-flight setup
Drone coding curriculum

From basic flight to autonomous missions

Across 47 courses and 53 stages, every mission adds a new skill on top of the previous one. The core audience is grades 4–8.

  1. 1Basic Flight
  2. 2Position & Heading
  3. 3Loops
  4. 4Measurement Missions
  5. 5Sensors & Distance
  6. 6Conditions & Decisions
  7. 7Finding Targets with the Camera
  8. 8Moving Targets
  9. 9Variables & Functions
  10. 10Resource Management & Big Missions
  • BeginnerCurriculum 1–4Flight and program structureControls the drone with take-off, position and repeat commands and completes the first flight missions.Basic flightSequenceLoops
  • IntermediateCurriculum 5–8Sensing and decisionsBuilds programs that make decisions from sensor and camera data.SensorsConditionsCamera
  • AdvancedCurriculum 9–10 · image processingAutonomous missionsPlans large missions with variables and functions and tracks the target with image processing.FunctionsTarget trackingImage processingResource management
Advanced missions include
  • MazeRead the walls with sensors, find the way
  • Find the TargetScan with the camera, recognise the target
  • DeliveryDrop the load at the right point
  • Big ShipmentPlan route, load and battery together
  • FirefightingCollect water, find the fire, put it out
On the platform it unlocks step by step as 47 courses, 8 sections and 53 stages.
Level journey screen on the platform
The level journey students see
Drone-focused image processing

Teach the drone to see.From pixels to target tracking in 12 lessons.

Students don't just fly the drone; they process the image from its camera and learn the logic of target detection and tracking.

PixelRGBHSVColour MaskNoise RemovalContourCentreTrackingPrediction
Image processing bench: drone camera, output with the target marked and the colour mask
Camera
Output · target found
Mask
Colour mask lab: HSV thresholds and the OpenCV equivalent
From a threshold to real code

Students slide the HSV thresholds and watch the mask change; the cv2 equivalent of the same setting is written alongside. In later lessons these steps become a real image processing pipeline.

Python equivalent · OpenCVhsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) mask = cv2.inRange(hsv, (hAlt, sAlt, vAlt), (hÜst, sÜst, vÜst))
Lab: change the image, try thresholds, inspect the mask, contour and centre.
Teacher panel

See not just the result, but how each student solved it.

Teachers follow class progress, open a student's code and read where they got stuck from the solution itself.

  • Join code / QRA 6-character code for each class
  • Student requestsStudents join with teacher approval
  • Solution toolShows the solution, then returns to the student's program
  • Class managementMultiple classes, student management
Progress map · know where they're stuck
Progress map: drone coding and image processing progress
Student code · read the solution line by line

Teachers open and review the program a student built: which commands they used, where they set up loops or conditions, and the step where they got stuck.

Measurable learning

Working code isn't enough. Students look for a better solution.

Finishing the mission is the start. The goal is a shorter, cleaner and safer solution.

Mission complete60points
Short / efficient program25points
Clean flight15points
Total100points
  • 90+
  • 72+
  • below 72

Students can replay a course; their best result is kept.

Stage results screen: 100 points, mission complete +60, short program +25, clean flight +15
Class challenge

Turn learning into a challenge.

MissionPointsRetryImproveClass ranking

Teachers can project the class leaderboard; in-class challenges and the term final run from the same table.

The class leaderboard ranks points and stars on one screen; students climb it by improving their own solutions.

Drone assembly on a workshop bench: fitting motors and propellers
Projects and competitions

Turn what they learn into a project.

Students go through a project process from problem to presentation. Technology competitions such as TEKNOFEST are one example of where it applies.

  1. 01Problem
  2. 02Idea
  3. 03Technical solution
  4. 04Prototype
  5. 05Test
  6. 06Presentation
Program models

Same system, format built around you

Every model requires a minimum of 10 students. Pricing is shared in the proposal, based on model, duration and student numbers.

  • Short program
    4–6weeks

    Pilot programs, technology camps, starting a club, technopark / science centre cohorts.

    The first term's 4-week program ran in this format.Plan for my institution
  • Term programRecommended for private schools
    12–16weeks · about 2 hours a week

    Hands-on drones, the digital platform, simulation, missions and a final challenge; fits into class or club hours.

    Plan for my institution
  • Custom program
    Flexibleschedule · level · content

    Designed around your age groups, goals, existing lab and project targets.

    Plan for my institution
Institutional proposal

Let's build a drone education system for your institution.

Share your students' level, your schedule and your goals; we'll shape the right program model for you.

What happens next
  1. 1Your request reaches the program team
  2. 2A needs call to plan the program
  3. 3We send a program proposal and quote
Step 1 of 2 · Institution and contact
1 · Institution and contact
2 · Program needs
Student age / grade group
Programs open with at least 10 students.
Program length
Weekly availability
Your details are used only to prepare the proposal.
FAQ

Frequently asked questions

No email or phone required for student accountsTwo-step verification for teacher accounts
What is the minimum number of students?

A program opens with at least 10 students. Groups are formed from your institution's students.

How long does a program last?

Short programs run for about 4–6 weeks and term programs for 12–16 weeks (about 2 hours a week). For custom programs the schedule is set together.

Can the training take place at our institution?

The digital platform runs in the browser, so it can be used in your computer lab. The location and setup of the hands-on workshop are planned together with your institution.

Do we need to install software on computers?

No. The platform runs in the browser; nothing needs to be installed on student computers. With the right setup it can also run on the school's own network.

Are there real drone exercises?

Yes. Programs include real drone exercises in the workshop. Students rebuild the algorithm and control logic they developed in simulation in real drone exercises.

Can you prepare a custom program for our institution?

Yes. Schedule, level and content are designed together around your age groups, goals, existing lab and project targets.

Question not listed? Write to us through the proposal form
Individual enrolment · Summer

Summer Programs for Individual Students

Groups open to individual students in the summer, using the same platform and curriculum as the institutional program. A group opens with at least 10 participants.

We'll let you know when the summer schedule opens.