Hi everyone - It's come to my attention that there has been someone masquerading as myself, responding to some comments here with a link to a Telegram chat to win a prize from me. THIS IS A SCAM, I am not holding a contest, nor do I have a Telegram account. PLEASE DO NOT RESPOND TO THESE MESSAGES!! It's happening on a lot of my videos, I'm taking steps to remove them manually, but as I have 162 videos, it will take some time. If you do run across a suspicious comment, I would appreciate you letting me know at info@dronebotworkshop.com. Thanks! Bill (The real one!)
I've just taken some training on the topic of deep learning and this video completes my quest for an easy way to incorporate the subject into my students projects. Thanks a lot for another well done video
I just built a tiny robot using an esp32-cam and now im going to attempt to add this badass functionality. great video and ive always loved your channel. thanks for sharing your knowledge with us!
I really appreciate the time you take to give instructions. Your lessons give me the confidence to try new things and peak over the barriers that I will soon knock down.
Great video. Looking forward to having a go with my ESP32 Cam. My only comment is you probably got the 100% on your second example because you had multiple images that are nearly exactly the same. These would have been randomly distributed between the 80% training and 20% testing sets. You probably ended up with same images used in training and testing which would not give you a good measure of confidence. Again another great video, thank you.
Excellent tutorial!! Like all your videos, I want to thank you, since you have inspired me to continue in robotics projects. Greetings from Santa Fe, Argentina.
Wow!!! Excellent video and project. IT is one that's been on my list for a while and you just inspired me to move it up the list. Thanks for making your videos. Great job!!!
Oh love seeing another one with the ESP32-Cam! I already have two of these in my network as cheap surveillance camera running my own software. I am curious if there are any good upgrade paths for higher frame rate / higher resolution cameras? Also more ports available to control a robot would be neat.
use espnow or mqtt protocol so multiple esp32s can talk to each other and do the heavy compute on a proper machine that is connected wireless so the robot does not need to carry it...
Maravilloso video, si les sale error al subir a la tarjeta Esp32, revisen la versión de la tarjeta que están usando, a mí me sirvió con la versión 2.0.10
At minute 51, we see that the number of objects dithers between "robot, battery" and "robot, battery, robot", but you didn't modify the scene at all. The only differences would be the random noise introduced by the cam, ex, low cost -> high noise. So which one of these detections would we accept, if we could only choose one? Maybe we should average the last N estimates? I note that the confusion matrix for this training session is 100% in all 9 boxes, which really doesn't mean anything WRT it's average performance on the ESP32, but rather, whether a good pattern could be found within the supplied images, most of which were identical except for noise.
Do you know if it's possible to use RectLabel (An offline image annotation labeling tool) which has limited export options? For custom object detection I'd prefer not to upload all of my images into an online source.
helo sir, this is a great video. i have one question. can i add a servo to this project so that when it detects robot or battery the servo will rotate?
I follow your educational videos with great interest.I would be very happy if you could share a video on how to use the esp32 camera module in IoT Blynk 2.0.
is it required that the camera be the same distance to the subject when doing detection of objects vs the distance that you used for training/capturing robbie etc? ie can you move the camera away say twice the distance it will still work (any idea what the confidence % would be)?
Excellent video, very detailed. I have to do a similar project, and I'm not sure if this process would help me. I'd like to see the .ino codes used, the ones that came in the library (27: 35 and 27: 41). If someone has that .zip library, please send it so i would not have to do the model training just for checking. I'll write my email if you answer me. Thank you.
can i like, upload my own trained model onto edge impulse ? also, please mention that the auto labeller is enabled in your project because you have an enterprise edition and not the free community edition
Hi please help, I have downloaded the eloquentesp32 library but whenever I want to use any of its examples it says that no such file can be found or directory while I have it. Anything I could do to fix it? Thank you
Hello, i've tried running this code on the arduino IDE, using the esp32 cam, but the code won't compile, perhaps it's a configuration issue in the ide?
Hi Mr Bill thx for ur helpful video. I followed all the steps of your process but during that i have met a problem as :"error for the ardûino borad Ai thinker Esp32-cam. If u can help me thx😊
Good Morning. I am not getting an accuracy above 70% when I try to train the model for 4 classes of diseases. Can you help with the solution of how to increase the accuracy? I have tried hyperparameter tuning also , accuracy gets increased but not much.
Sir I have trained a model on few images and imported the zip library to aarduino ide. But the example sketch is throwing error during compilation. Please help........