Simple ESP32-CAM Object Detection 

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

This is fantastic! You do a great job at clearly explaining the steps. And gotta love a Robie cameo :)

This is *just* the type of video I was hoping for!

As someone without any knowledge in this area this was a nice introduction.

As usual, another fantastic tutorial. I really like having both the video and the written articles. Thank you!!

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.

This is excellent, DroneBot Workshop--I can't wait to tell my kid and his robotics teammates

Thanks a lot, I was spending time trying to use opencv for an academical project and I didn't think to use this.

It is a very easy training scenario. I've tested with voice recognition and now I'll try it with different "generic" humans vs. dogs and cats.

And of course, as always, thank you and well done. Thorough, detailed and explained so well!!!

Thank you so much. It helped me with my faculty project. :)

Thank you for your explanation,I think I will introduce Edge Impulse in my classroom! This is very inspiring video 😄👍🏻

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. A lot of prep work. Thank you.😊

This is very sexy time for an esp32 cam. Cant wait to try this project out. Its brilliant!

Lots of love and great video Proffecer love you From India❤❤

Glad i subscribed, so i didn't miss your excellent tutorial . Thanks.

I was searching for such a video for days

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.

Finally the video that i've been lookin for months! Thanks!

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!!!

Great video and channel. Keep doing it. it is very useful !!!

As always just what I was looking for. Best tutorials thank you

You are nice teacher. Love your understanding material.

A great contents, i love your video's. Lot's of love ❤ From India 🇮🇳. Thanks for sharing knowledge with us.

Thank you for a good video. Have a great week. I miss Radio Shacks in the malls.

Great tutorial, exactly what I'm looking for. Thanks a lot

Nice demo of capabilities. Thanks

good as always

A tutorial that is greatly needed is on the s3 wroom cam board.

Thanks!

very nice video helped in my project thank you

Great and precise video tutorial.

Awesome topic, Bill! Keep 'em comin!

Great topic, thanks

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.

Great effort has been done in this tutorial thank you very much for this amazing work ☺️

Fantastic! Thanks for the video. I wonder if you have an example, but instead of using the Arduino Framework, use the ESP-IDF.

Amazing. Thank you so much.

Well done, keep it up, thanks for sharing it with us:)

Thank you Bill, great video...

Better way of explaining ❗

You know these are the types projects I'm looking for (I've found the DroidsVader will be pleased), this can be extremely useful. Thank you!

Dude, you are the coolest!

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

Another informative video - Thank You

I like this module . Ai camera works well. It's on the base for my project. 😁👍

Perfect! Sharing knologe always.

you should make a turntable that turns at an extremely slow rate for taking images.

I totally remember that coin eating robot thing, btw. The good ol' days...

Great tutorial 👍

What a great job sir. This vd help me a lot for my project. And what a cute robot ROBIE

Very informative 👏🏻 thank you 😊

Great job from great man.

Bravooo!!! A powerfull Like to you!!! Thank you for teach us

I've a ESP-32. I'll try it.

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.

Great Job Thank you very much

Thanks. Very usefull!!

Thank you very useful

thank you sir

Clever outro!

Just great!

Bro, the Arduino uno rev 4 minima and the Arduino uno rev 4 wifi is out, plz to a review plz🥺🥺🥺

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.

A slow running turn table and the ESP auto capturing.

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?

Great video, very helpful. Can I implement the object detection on the car robot you built? Has it been done? Any help is appreciated.

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.

This ones not in the ESP32 playlist is it? I think its a good addition to the collection along with the 2024 guide.

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.

hi, is there a limit on how many different objects the esp32 cam can recognize?

hi, thanks for your helpful tutorial, i have a question: how can connect and stream cam a esp32 cam with cable to pc or raspberry pi??

great thanks a lot

very helpfull

Master, what if the object is on a mat? Does detection also happen assertively? Thank you very much.

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, I want to do a number plate recognition for my gate. Would this be good enough?

@Dronebotworkshop I like all your content can you please make video of speech recognition using ESP? Thank you

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

Sir make a video on Raspberry pi Pico brushless flight controller better than apm 2.8

Hi, can you please guide me how we use esp32 cam for face detection and object detection in a single project??

I still have my robbie the robot too. LOL

Can we add a kaggle data set for training for obstacle detection in Edge impulses?

Might be new here, but I would like to ask if its possible to control other peripheral based from the label it detected?

Can you share the code file?

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😊

Señor lo amooo

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.

stupid question.. did you ever try how many different classes you could detect using an esp32cam ?

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........

Hi, I have the "Failed to allocate snapshot buffer error" How do I resolve it

i just have one question can the detection be with voice. like can the model speak what kind of object is in front

What's the maximum number of objects you can train it to detect

Good Morning Sir, I am not getting good accuracy when I try to train the model with 4 classes of rice diseases .. can you help me with this

Hello, what is the upper limit of the amount of objects the library and EspCam can handle ??? thank you