Object Detection using Convolutional Neural Network in the Application of Supplementary Nutrition Value of Fruits
Anita Chaudhari1, Shraddha More2, Sushil Khane3, Hemali Mane4, Pravin Kamble5
1Anita Chaudhari, Department of Information Technology, St. John College of Engineering and Management, Palghar, India.
2Shraddha More, Department of Information Technology, St. John College of Engineering and Management, Palghar, India.
3Sushil Khane, Department of Information Technology, St. John College of Engineering and Management, Palghar, India.
4Hemali Mane Department of Information Technology, St. John College of Engineering and Management, Palghar, India.
5Pravin Kamble, Department of Information Technology, St. John College of Engineering and Management, Palghar, India.
Manuscript received on 24 August 2019. | Revised Manuscript received on 14 September 2019. | Manuscript published on 30 September 2019. | PP: 725-729 | Volume-8 Issue-11, September 2019. | Retrieval Number: K14320981119/2019©BEIESP | DOI: 10.35940/ijitee.K1432.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Object image detection is unique most auspicious claims of visual object recognition, since it will help to estimate nutrition calories and improve commons ingestion habits. The food gives nutrition to our body to provide information to function properly. If we will not get the precise data our metabolic progressions grieve and our fitness decays which cause various health issues. In brief, nutrition we take totally central to our health. Researchers now believe that these difficulties are partly connected to the nourishment. While they used to have faith in that diseases-such as diabetes, obesity, heart disease, and certain cancers were triggered by a single gene mutation, they are now generally accrediting these situations to a system of living dysfunction. The project aim is to develop an application for estimating food calories and improve people’s consumption conducts for fitness. It provides the users, patients with the convenient solutions for food intake.
Keywords: Object Detection, Convolution Neural Network, Deep Learning, Image Recognition.
Scope of the Article: Deep Learning