A novel video processing based cost effective smart trolley system for supermarkets using FPGA

Rupanagudi, Sudhir Rao; Jabeen, Fathima; R, Vaishnav Ram Savarni K; Adinarayana, Sindhu; Bharadwaj, V.K.; Karishma, R; Bhat, Varsha G.

doi:10.1109/iccict.2015.7045723

Cited by 23 publications

(6 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cb and Cr are the chroma components; Cb is chroma blue which is the difference between blueness of the colour and the brightness, while Cr (chroma red) is the redness minus brightness. The RGB colour image is converted to YCbCr using the following equations [37].…”

Section: Colour Component Selectionmentioning

confidence: 99%

Hard Exudate Extraction from Fundus Images using Watershed Transform

Satyananda

Narayanaswamy

Karibasappa

2019

IJEEI

View full text Add to dashboard Cite

Diabetic Retinopathy is a medical condition which affects the eyes due to increased blood sugar levels. This is characterized by presence of exudatesdeposits of lipids in the posterior pole of the retina. If this ailment is not treated in earlier stages these deposits can cause blurred vision or even permanent blindness. This paper concentrates on extraction of hard exudates and optic disc from the retinal images of eyes using Marker based Watershed approach, which uses the minima imposition method to create mask and marker. The varying contrast across all the images has been taken care by a non-linear equation. Once these bright objects have been extracted from fundus images, area estimation is performed to eliminate the optic disk, thus retaining only exudates. These images have been procured from publicly available databases. Though software systems are easy to install, they prove to be expensive in terms of time and cost; thus this method has also been implemented on FPGA for an on-chip solution. The precision and sensitivity for exudate extraction sans optic disk are found to be 92.4% and 83.78% respectively. Though other techniques exist which provide better accuracy, the method described in this paper is found to be hardware friendly in comparison with other proven methods. Few steps of the algorithm developed are implemented on FPGA to provide an embedded system approach to this work, considering the advantages of a hardware-software combination.

show abstract

Section: Colour Component Selectionmentioning

confidence: 99%

Hard Exudate Extraction from Fundus Images using Watershed Transform

Satyananda

Narayanaswamy

Karibasappa

2019

IJEEI

View full text Add to dashboard Cite

show abstract

“…RFID can scan as many as items which is infinite when we see over barcodes. The space required to install LCD, RFID Reader, and microcontroller is limited such that trolley turns out to be efficient [10][11][12][13][14]. It's also solves key factors like insufficient information of product, pitfall in prices on items.…”

Section: Introductionmentioning

confidence: 99%

“…In Existing technology we need more human and material resources lot of time is wasted in scanning the items, making the bills ready and items can be read for shorter distances only ,barcodes need external power supply so in order to meet all the requirements of customer we proposed a smart trolley using RFIDS [14][15].The proposed paper focuses on updated technology of RFIDS, Saves precious time of customers by fast canning of products, scanning of items for long distances [16].The exaggerated shopping trolley system assistances the consumers in reducing the significant amount of time those consumers used to expend in shopping and it contains real-time informs on the records are also provided in the store management unit. If clients wishing to eliminate the product from the cart that they have taken they can do it by the use of a key.…”

Section: Introductionmentioning

confidence: 99%

Smart Trolley with Automatic Billing System using Arudino

Patil¹,

Mathad²,

Gandhad³

et al. 2022

International Journal of Advanced Science and Engineering

View full text Add to dashboard Cite

Nowadays, shopping malls (supermarkets) are almost developed with much technological advancement. A shopping mall is mall where we get different items like glass items, toys, kitchen sets ,groceries, decorative items and so many. Lots of people like to shop because of attractions like discounts, home delivery and so on. People have to wait in long queues especially on weekends and customer has to patiently wait for his turn. This is a time-wasting process due to the busy schedule of people and feels bored and are not happy by the services provided in billing counter. To avoid these problems we have introduced an effective and highly advance system which also helps us during COVID-19 period: an effective way for social distancing. In order to tackle this unique problem for customers especially in billing the system proposed is Smart trolley as when the items are put it gets scanned and purchased item and its amount displayed parallel on LCD automatically. It uses RFID technology which can scan huge no items and saves valuable time of customers as well as shopping mall.

show abstract

“…It is imperative for shoppers to know the exact location of their products to plan their shopping activity. Sometimes, the shoppers must ask the supermarket staff about the position of the products, which adds more time to the shopping task [4]. Therefore, we need to find an optimal shopping route for such shoppers, which not only can navigate themselves in finding their products inside the supermarket but also can reduce their shopping times.A heuristic technique is an approach used for problem-solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals [5][6].…”

Section: Introductionmentioning

confidence: 99%

Heuristic based model for groceries shopping navigator

Peeyee

Abdul-Rahman

Hamid

et al. 2019

IJEECS

View full text Add to dashboard Cite

This paper presents a heuristic based model for groceries shopping navigator that attempts to improve the navigation problem that usually face by customers while doing their shopping. A system known as Shopping Navigator or shortly SHoNa was developed to give the optimal sequence of shelves to be visited by the customer and the total estimated shopping time so that the user can plan their shopping task earlier. Genetic algorithm was employed and implemented in a web-based platform that is compatible with other devices such as smartphones and tablets. SHoNA can minimize the shopping time by identifying the most optimal order of shelves inside the supermarket that needs to be visited by the customer. A series of experimental was performed in producing the optimum model. Our findings showed that the combination of order one crossover and inverse mutation produced a better optimal performance, which is the minimum total amount of groceries shopping time. SHoNA can be further enhanced with visualization features for a better shopping experience.

show abstract

A novel video processing based cost effective smart trolley system for supermarkets using FPGA

Cited by 23 publications

References 21 publications

Hard Exudate Extraction from Fundus Images using Watershed Transform

Hard Exudate Extraction from Fundus Images using Watershed Transform

Smart Trolley with Automatic Billing System using Arudino

Heuristic based model for groceries shopping navigator

Contact Info

Product

Resources

About