Application of Image Classification using Machine Learning Technique on Smart Device
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This paper combines two of the most recent research topics for consumer electronic devices: Internet of Things (IoT) and Artificial Intelligence (AI), applied to solve an image classification problem for an electrical appliance’s recipe database. The first part of this article presents the development of an Android mobile application containing all the options from its recipe book manual. The problem addresses the inconvenience to manually search over the catalog categories to find the recipe that matches the actual ingredient available for the users in their home. The proposed solution establishes to recognize the ingredient with the mobile device camera using transfer learning over a pre-trained Convolutional Neural Network (CNN) to distinguish between the recipes that uses the ingredient, and exclude the recipe sets that are unrelated to the ingredient acquired with the camera. In the second part of the article, the availability of sensors on most of the wrist smartwatches and fitness bands is exploited to categorize the users according to the level of physical activity, in pursuance of making a healthy recommendation according to the number of calories in each of the recipes.
Abstract
This paper combines two of the most recent research topics for consumer electronic devices: Internet of Things (IoT) and Artificial Intelligence (AI), applied to solve an image classification problem for an electrical appliance’s recipe database. The first part of this article presents the development of an Android mobile application containing all the options from its recipe book manual. The problem addresses the inconvenience to manually search over the catalog categories to find the recipe that matches the actual ingredient available for the users in their home. The proposed solution establishes to recognize the ingredient with the mobile device camera using transfer learning over a pre-trained Convolutional Neural Network (CNN) to distinguish between the recipes that uses the ingredient, and exclude the recipe sets that are unrelated to the ingredient acquired with the camera. In the second part of the article, the availability of sensors on most of the wrist smartwatches and fitness bands is exploited to categorize the users according to the level of physical activity, in pursuance of making a healthy recommendation according to the number of calories in each of the recipes.
참고문헌 (18)
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