Counting objects is one of the most common tasks in computer vision. There are many ways to count objects, and machine learning is not always necessary; algebraic techniques can often suffice. This is especially useful for very small edge devices. In this video, I use a Blob Counting algorithm, a computer vision technique for detecting and counting distinct objects (blobs) in an image or video frame. The process starts by identifying foreground objects using methods such as background subtraction, edge detection, or shadow removal. Once segmented, connected component labeling groups adjacent pixels into individual blobs. Each blob is then analyzed for features like area, centroid, and bounding box.