Defect Detect will perform anomaly detection on a product as it comes down the conveyer belt. We will do this by utilizing images from a camera with an overhead view of the conveyer belt as well as a CNN algorithm which runs on the MAX78000 ultra low power AI microcontroller. The defective items will be removed using a powerful vacuum which will extract then place said items in a separate bin. We will also be using the images from the camera to perform object counting, which will show as a value on our touchscreen display. There will be a functionality to control the speed of the conveyer belt as needed from the display. Our performance will be measured at the end by how many of the defects we successfully identify and remove from the conveyer belt.