Ryze Robotics Dron and Python SDK

Tl;DR

More tinkering the real world.

Intro

As software is cheap, if plants are not for you

maybe drones/electronic/robotics are?

Claude x Python

This is all it takes recently:

#claude

Pi Camera

Try OpenCV and yolov8 with the Pi!

DJi Tello 101

Get started with a cheap toy dron.

sometime ago i was using python to control my dji tello dron, do you understand the logic i built? create a wiki.md with ur understanding

I also extracted the documentation for claude:

uv init
uv add kreuzberg

You can skip Kreuzberg container, just:

for f in Chapter*.pdf; do
  uvx kreuzberg extract "$f" > "${f%.pdf}.txt"
done

Once the context is ready, its about creating a FRD.md and let CC split the work in few phases:

uv run main.py

This is all based on OSS libraries, so you wont need ever again the official app which is no longer in the google play store.

Computer Vision

After a quick test, I thought about adding face detection capabilities:

uv run face_detection_poc.py

Same thing we learnt with the pi, using the CV2 library (executed at your laptop, not the dron)

Its just the same ppl take this to the next level

see this video ‘pre-ai’

• https://github.com/murtazahassan/OpenCV-Python-Tutorials-and-Projects
  • https://github.com/murtazahassan/Drone-Face-Tracking/tree/master
  • https://github.com/murtazahassan/Tello-Object-Tracking

About PySymverse

From the same channel, i got to know about: https://pypi.org/project/pysimverse/

From scripts to the Sky (if you have an account)

Conclusions

Wouldnt it be nice to do a come back to electrical engineering?

The level of abstraction that there is in such a drone so that by pressing one key, that goes to one command and goes to…somewhere

and that somewhere makes the motors do something in particular to rotate, acelerate…

Not gonna lie to you

i have a dji tello dron and succesfully got a python script that uses its SDK to control it. Here is the python code and the documentation I used to do so. The android official apps is no longer valid, so i want to use flutter to build a crossplatform one that does precisely what my python script does. Can we do a flutter-version.md with all the features and clarifications?

# 1. Verify you're on Tello's Wi-Fi
iwconfig  # or check Network settings

# 2. Ping the drone
ping 192.168.10.1

# Test with netcat (simple UDP)
echo -n "command" | nc -u -w1 192.168.10.1 8889

This is happening already…

sudo snap install flutter --clasic
#git init && git add . && git commit -m "Initial commit: Starting flutter dji tello dron" && gh repo create dron-tello-flutter --private --source=. --remote=origin --push

#uv init
#uv add -r requirements.txt
#uv sync
#cd sample-pyscipe
uv run main.py

#make run #requires .env.local
#git remote set-url origin git@gitlab.com:fossengineer1/dron.git
#git push

What I learnt

Want this DFY?

f* off

flowchart LR
    %% --- Styles ---
    classDef free fill:#E8F5E9,stroke:#2E7D32,stroke-width:2px,color:#1B5E20;
    classDef low fill:#FFF9C4,stroke:#FBC02D,stroke-width:2px,color:#F57F17;
    classDef mid fill:#FFE0B2,stroke:#F57C00,stroke-width:2px,color:#E65100;
    classDef high fill:#FFCDD2,stroke:#C62828,stroke-width:2px,color:#B71C1C;

    %% --- Nodes ---
    L1("Free Content
(Blog/YT $0)"):::free
    L2("DIY
(Templates / Platform) $"):::low
    L3("Done With You
(Consulting) $$"):::mid
    L4("Done For You
(Services) $$$"):::high

    %% --- Connections ---
    L1 --> L2
    L2 --> L3
    L3 --> L4

I mean, here you go:

FAQ

Tello x Flutter

I got some problems with the connection to the tello.

CC went to the route of we’re using dart:io’s built-in RawDatagramSocket, but some how was not getting there.

So went out and look for existing projects:

1. https://github.com/mateustoin/Flutter-app-DJI-Tello-Drone/tree/main

Cool! but it has 6yo and depends on https://pub.dev/packages/tello/versions which is Dart3 incompatible.

next

2. https://pub.dev/packages/udp/versions that does not shows incompatibilities

#ping 192.168.10.1
flutter run -d linux

This is the one, btw :)

3. https://pub.dev/packages/ryze_tello with 5yo and also in theory, no incompatibilities

Whats ArduPilot?

ArduPilot is an open-source autopilot system for vehicles like:

• drones
• planes
• helicopters
• rovers
• boats
• submarines

It is both:

• software: the flight/control stack that runs on the vehicle
• ecosystem: firmware, ground control tools, hardware support, simulation, and documentation

What it does:

• stabilizes and flies the vehicle
• handles GPS navigation and waypoint missions
• supports telemetry, failsafes, return-to-home, geofencing
• integrates sensors like GPS, IMU, compass, barometer, lidar, cameras, etc.

Typical setup:

• flight controller hardware running ArduPilot firmware
• a ground station such as Mission Planner or QGroundControl
• optional radio/telemetry link, RC transmitter, GPS, companion computer

In practice, people use it for:

• hobby drones
• research robots
• industrial UAVs
• autonomous boats and ground vehicles

Software for Drones

• https://github.com/arpanghosh8453/open-dronelog

Drone Log analyzer: A high-performance universal dashboard application for organizing and analyzing DJI/Litchi flight logs privately in one place. Built with Tauri v2, DuckDB, and React.

About computer vision

If OpenCV is the heavy-duty engine, CVZone is the ergonomic dashboard and steering wheel that makes it much easier to drive.

1. What is CVZone?

CVZone is a high-level Python package designed to make computer vision tasks—like hand tracking, face detection, and object tracking—accessible with just a few lines of code.

It was created largely by Murtaza Hassan (Computer Vision Zone) to simplify the often complex boilerplate code required by standard libraries.

• Core Logic: It is built on top of OpenCV (for image processing) and Mediapipe (for high-performance AI tracking).
• Key Features: It includes “ready-to-use” modules for:
  • Hand Tracking: Finding 21 landmarks on a hand and detecting gestures.
  • Face Detection & Mesh: Real-time facial landmark mapping.
  • Pose Estimation: Tracking body joints for fitness or motion apps.
  • Utilities: Easy functions for drawing styled rectangles, putting text on screen, or stacking multiple images together.

2. Does it relate with cv2 (OpenCV)?

Yes, they are best friends. CVZone does not replace cv2; it complements it. In a typical script, you will import both. CVZone takes the “raw” outputs from OpenCV or Mediapipe and handles the math and drawing for you.

• Example Comparison: * To draw a “fancy” cornered rectangle in standard cv2, you might need 10+ lines of cv2.line() calls.
  • In cvzone, you simply call cvzone.cornerRect(img, bbox).

The Flow: You use cv2 to capture your webcam feed and display the window, but you use cvzone to process the AI logic and draw the overlays.

3. Open-Source Models (The “Heavy Hitters” of 2026)

If you want to move beyond the basic tracking in CVZone, here are the top open-source models currently dominating the field:

Which should you choose?

• For Beginners: Stick with CVZone. It abstracts the scary math and lets you build projects like “Virtual Paint” or “Gesture Volume Control” in an afternoon.
• For Professional Apps: Use YOLOv11 or SAM 2 directly. They offer more precision and are the industry standards for tasks like self-driving car logic or medical imaging.