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Most likely yes

Tnx a lot!

We use a detection AI with a self made dataset for detecting the victims. We only use OpenCV for detecting the corners.

We use a relay to turn the LED array on and off and it's controlled through our Raspberry Pi 5.

No, we use 4x 12V DC geared motors

Thanks! What do you mean by "engine shield"?

@@Overengineering2 which shield to control your motors do you use. And what camera do you use?, thanks, good job

@@limaotop3913 We use a L298N Motor Driver that is connected to our Raspberry Pi 5 through the GPIO pins. The top camera (left image) is a Raspberry Pi camera V3 and the bottom camera (right image) is a Arducam B0268 Widge Angle Camera

@@Overengineering2 thanks, good job

We use a power only type c cable that directly goes from the step down converter that is set to 5.1V to the Pi

What do you mean by simulation software? There are no simulations.

I mean that video of vehicle following the line is displayed in a specific area that is the time is showing, axis are showing, following the line visual is showing

No, none of the interfaces in the video were developed or provided by RoboCup. We have created our own GUI with the help of CustomTKinter, of which you can see a screen recording. The markings in the camera image are part of our image processing.

We use 1m of 12V COB LED strips by revoART for that

The world championship ends on the 21st of july. Some time after that we may open source our code.

We use two different self made AI models for that.

@@Overengineering2 can you tell us for lerning

@@hamidoosama We use Ultralytics YoloV8 AI models with fully custom datasets.

It's private because we are still actively competing in competitions. The next one is the World Championship in Eindhoven, Netherlands. The code may eventually be public when we finished all competitions.

We are using a single 7.4V LiPo- battery and a 12A step-down converter. We really recommend using a high amperage step-down converter, especially for the Pi 5. A 6A step-down converter caused problems with random crashes before.

Danke! Wir haben herausgefunden, dass wir nicht wirklich mehr als ein Sichtfeld von 105° brauchen, da wir mit dieser Kamera schon einen großteil der Zone überblicken können und ein größeres Sichtfeld nur zu Verzerrungen am Bildrand führen wird.

​@@Overengineering2 Ah ok, danke

No, we use a Arducam B0268 Wide Angle Camera for victim detection and a Raspberry Pi Camera Module 3 Wide Angle for line following.

No, we use a Arducam B0268 Wide Angle Camera for victim detection and a Raspberry Pi Camera Module 3 Wide Angle for line following.

We have a infrared sensor inside the gripper so we know if something is inside of it

@@Overengineering2 Thank you, congratulations.

what infrared sensor did you use on the clamp?

@@limaotop3913 A 50cm Pololu irs16a infrared sensor

We use a mix of OpenCV and NumPy methods to do all the image detection tasks. The full code will probably be available on our Github once we finished all our competitions.

We are using two different types of servos. For opening and turning the arm, we are using small EMAX-ES09MD servos, and for lifting the whole arm, we are using a Diymore 35 kg digital servo.

thanks, very great work!

We employ a Raspberry Pi 5 8GB and 2 Arduino Nano's

The bottom camera is a Arducam B0268 Wide Angle Camera.

@@Overengineering2 Thank you! We will consider using it for our robots.

We used the python library customtkinter

Self made detection AI

The github will be public once we finished all competitions and decided if we want to compete for another year.

Raspberry Pi 5 + 2x Arduino Nano. Opencv is the main library we use for Line.

@@Overengineering2 it would be great if you could make a tutorial

@@bottlefish6386 Our robot is custom in every way possible and is way too complex to make a tutorial about. The code will probably be available on our github after we finished all competitions.

The camera at the top is actually mounted to a servo that is not used so that would be a possibility. The problem with that is though that the camera would be at a weird height which would not work well in the evacuation zone. Additionally the PiCam doesn't provide the correct range of visibility we need for the evacuation zone.

@@Overengineering2 Oh I see. Thanks for explaining!

Wir hatten diese Kamera schon als wir noch mit einem Raspberry Pi 4B gefahren sind. Außerdem sind die PiCams nicht in dem Format verfügbar welches wir für unsere KI brauchen.

Wie lest ihr eure Kamera aus? Weil ich hab seit neustem auch ein Pi5 und da funktionieren legacyCams nicht mehr, hattet ihr das selbe problem

@@user-ep7gz5wq3sWir benutzen dafür die picamera2 python library

We use a singular raspberry pi 5 where the left camera is plugged in though the camera port and the right one is a USB camera

@@Overengineering2 thanks

Hi! Thanks for the compliments. Our team is gonna be in Kassel, as we are in the percentage that advances. The other 2 Runs are gonna be uploaded in the next few days. Team Overengineering²