Machine Learning Object Counting Prototype

Hello!! I'm here to give some inputs to your problem. I've seen your sample image. Being a research assistant in image processing and machine learning, my first intuition is that your problem is more of an image processing task than machine learning. Here is how you can solve it: 1) We can convert and threshold the image into binary 2) We can erode and dilation the edges or boundaries that are darker than the wood piles frontal portion 3) We can count the resulting blobs or patches 4) We can find those patches that are circular or elliptical in shape This should work pretty much everywhere With machine learning, you will have to go through a different approach, though cannot guarantee a good solution. There shall be lot of false positives given that there are not much characteristics features of the frontal portion of the log piles. So, I'd recommend using the image processing way. Software MATLAB for testing OpenCV for development Python or C++ Then you can add the final numerical value of approximately found wooden logs to your app. You may add a button to click a picture, the output will show the logs marked in some color and the total count in that picture, in real time. Thank you!!

Respected, Check in our profile feedback, we done project for Vietnam Country. With Camera and Raspberry PI. We done counting of red and green apple in manufacturing lines. That's workflow manage automatically detect object and detect red apples and green apple, separate in different package boxes too. We are ready to do it for you, feel free to contact us. Have a wonderful day. Thanks, SnippetBucket Technologies.

Hi There, I can make an object detection model for you. Time and reliability also comes down to cost. If you want a proof of concept that will work, a week is minimum.