If you can do it without machine learning, then OpenCV and Python is the easiest way to go. Example of finding an object in a known reference image ("needle")

If you can do it without machine learning, then OpenCV and Python is the easiest way to go. Example of finding an object in a known reference image ("needle") in another target image ("haystack") with OpenCV: https://docs.opencv.org/3.4/d1/de0/tutorial_py_feature_homography.html https://docs.opencv.org/3.4/d1/de0/tutorial_py_feature_homog... If you need something a little more complex or that can recognize a wider variety of object variations within a single class, then you might like to experiment with something like Teachable Machines to see how you can train your own machine learning model. You can then export and download this trained model and run it locally with something like Python or Javascript on your own computer: https://teachablemachine.withgoogle.com/ https://teachablemachine.withgoogle.com/ Use that site to capture images from your web camera to find examples of each class of object and see if this tool can work for you.