Provided are embodiments for providing analytics indicative of object detection or fill-level detection at or near real-time based on video data captured during an unloading or loading process. A computerized system may detect and classify, using an object-detection machine learning (ML) model, an object based on the video data. A computerized system may further determine, using a fill-level ML model, a fill-level of the storage compartment based on a comparison of edges of the storage compartment to a total dimension corresponding to the edge. In this manner, the various implementations described herein provide a technique for computing systems employing image processing and machine learning techniques to a video data stream to generate analytics associated with the unloading or loading process at or near real-time.