Mid Day Meals Scheme Monitoring System in School using Image Processing Techniques

Abstract

The Government of India introduced the Mid – Day meal scheme which is a school meal programme and that also helps to enhance the nutritional standing of school students. This program is designed to support for both primary and secondary school education. This mid day meal scheme provides cost free lunches on all working days for children in primary and upper primary classes in Government schools. In our work Ensuring number of students that took meal is same number as reported. This System monitoring comprise of human face detection through a webcam where identification of image done using an effective algorithm called Viola jones Algorithm. Feature Extraction is a technique that process the captured visual content into image of indexing and retrieval. After face detection, then it checks whether the food is served in plate or not. If food is served then count is increased, else no change in count. Food is recognized through Deep learning approach. With the improvement of deep CNN learning algorithm, Food identification and recognition estimation have been developed. we use Deep Convolutional neural network for visual recognition. So admin can verify lunch served is same as published/reported menu. Alerting in case of discrepancy and capability to centrally see past records / proof (numbers and visual) for any school. In order to observe this activity, we need image processing.