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Vaishnavi, S.
- A Novel Approach for Identifying Expired Products Using Bar Code Scanner
Abstract Views :170 |
PDF Views:3
Authors
Affiliations
1 CK College of Engineering and Technology, Cuddalore, IN
1 CK College of Engineering and Technology, Cuddalore, IN
Source
Software Engineering, Vol 8, No 2 (2016), Pagination: 35-38Abstract
Supermarket is the place where consumers come to purchase their daily using products and pay for that. Now a days there are lots of expired products present in the market and Authentication is one of the most important processes for any consumer or customer to identify whether the product is within the limit of its expiry date. In our existing system there is no barcodes only manual entry of a product is done for billing or inventory system so customer have to wait long in line for their purchases to be processed. Then later barcode scanning is introduced for billing it provides fast access about the product price and discounts by scanning but it doesn’t provide the Product expiry date validation. In our proposed system, expiry date of the product is verified by a bar code scanner to avoid the unnecessary selling of expired products in retail shops, medicals, and supermarket. It controls the billing system to prevent from expired products added on bill or invoice.
Keywords
Bar Code Scanning, Billing System, Expiry Date Validation, Inventory Management.
- CBIR using Relevance Feedback Retrieval System
Abstract Views :139 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science, Engineering, Anna University of Technology, Chennai, IN
1 Department of Computer Science, Engineering, Anna University of Technology, Chennai, IN
Source
Digital Image Processing, Vol 4, No 13 (2012), Pagination: 694-698Abstract
Image retrieval is an important topic in the field of pattern recognition and artificial intelligence. Generally speaking, there are three categories of image retrieval methods: text-based, content-based and semantic-based. In CBIR, images are indexed by their visual content, such as color, texture, shapes. A new image feature detector and descriptor, namely the micro-structure descriptor (MSD)[1] is discussed to describe image features via micro-structures. The micro-structure are defined based on the edge orientation similarity, and the MSD is built based on the underlying colors in micro-structures with similar edge orientation. Content-based image retrieval (CBIR) is the mainstay of image retrieval systems. To be more profitable relevance feedback techniques are incorporated into CBIR such that more precise results can be obtained by taking user‟s feedbacks into account. In this paper, novel framework method called Relevance Feedback is used to achieve high efficiency and effectiveness of CBIR in coping with the large-scale image data. In terms of efficiency, iteration of feedback are reduced substantially by using the navigation patterns discovered from the user query log. In terms of effectiveness, our proposed work makes use of the discovered navigation patterns using three kinds of query refinement strategies, Query Point Movement (QPM), Query Reweighting (QR), and Query Expansion (QEX), to converge the search space toward the user‟s intention effectively. By using this method, high quality of image retrieval on RF can be achieved in a small number of feedbacks.Keywords
Micro-Structure Descriptor (MSD), Query Point Movement (QPM), Query Reweighting (QR), and Query Expansion (QEX).- Determination of Total Microbial Bioload and Pathogen Testing from Bakery Products
Abstract Views :83 |
PDF Views:1
Authors
Affiliations
1 Department of Biotechnology, Adhiyamaan College of Engineering (Autonomous), Hosur - 635 130, Anna University, Chennai, Tamil Nadu, IN
1 Department of Biotechnology, Adhiyamaan College of Engineering (Autonomous), Hosur - 635 130, Anna University, Chennai, Tamil Nadu, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 59, No 3 (2022), Pagination: 333-346Abstract
Bakery products are the most widely consumed food on the planet. Microbiological spoilage is one of the most common reasons for bakery products having a short shelf life. This study reports on isolation of microorganisms from bakery products. The study aimed to prospect the isolation of bacteria, total colony count and pathogen testing were carried out nutrient agar media and specific media. Isolation of bacteria was done using nutrient agar medium, total colony count was prosecuted by colony counting method and pathogen testing was performed using specific media like mannitol salt agar, EMB agar, cetrimide agar and bismuth sulphite agar. Biochemical characterization was executed for the obtained pathogen. It was preceded by test like indol test, MRVP test, simmon’s citrate test, catalase test, gelatinase test and TSI test. After completion of these tests it was concluded the obtained microorganism was Salmonella species.Keywords
Bakery Products, Specific Media, Pathogen Testing, Biochemical Characterization, Salmonella SpeciesReferences
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