To address this challenge, we proposed a decision making mechanism [4] that would efficiently utilize the cloud resources. As shown in Fig. 1, when multiple users are accessing EHSH in parallel, the system first performs segmentation to gauge the number of
food objects on the plate. Based on the total number of food objects, the decision mechanism will allocate the segmented food objects to the remaining cloud instances.