IRSA Lab

Face Recognition

VISION Award 2016

In this system, every person who is entering the store can be seen by the CCTV cameras and an ID will be considered for that specific person by program (image processing) in which The ID is fixed for that individual person at all time spent in store. If a person uses a wheeled basket to buy the products, an ID tag will also be considered to basket which is highlighting the link between the basket and the person. After entering and determining the ID for each person the movement and product selection of them will be processed by the camera for each row. So if each individual takes a product, a picture will received by the camera and processing will be done and it will be compared with people entering the store to re-determine a person's identity and ID tags, then the product ID will be added to the purchase of person (and in case of restore, it will also remove from the purchase).
In this system, if a person picks up a product such as fruit juices and eats, then throw the can to the trash, the product will added to the purchase of person. At the end of the purchase by the presence of a person in the place of departure, the person's face will be re-processing by cameras and then they can specify its ID, and consequently products that have already been identified by their ID which they have been bought by that specific person will be calculated and total invoice with finely selected items will be displayed on the seller’s monitor.

  • each product has a specific row and an ID that represents the price and type of product
  • Each person entering the store will be specified with an ID tag
  • In case of two or more people come together and have a cart to buy the products, the cart’s tag for them is one. Each product is taken by each individual separately calculated for the individual and it will be also will be calculated as the sum of the purchase of those people, the system is available for them in any two cases.

A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database.

It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.[1] Recently, it has also become popular as a commercial identification and marketing tool.[2]

 

Software:

The Software Design with Delphi

Director and Editor
Mojtaba Farzaneh

 

Cameraman
Amir Ahmadi

 

Cast
Mohammad Farzaneh
Zahra Farzaneh
Ali Jamalabadi
Samira Yaseyi
Reza Jamalabadi

 

Sound
Sajad Akbari

 

Music
Mattia Vlad Morleo

 

Consultants
Mohsen mehrtash
Amir Ahmadi
Yunus Farzaneh
Mohammad Moslemi



Translator
Masoome Fatahi
Mohammad Moslemi

 

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Members Team:
Mojtaba Farzaneh
Masoome Fatahi
Seyed Javad Azimfar

 

Email: mfarzan2004@gmail.com

Tell: +98-912-733-6166

Contact Form

 

Reference

  1. 1-"Facial Recognition Applications". Animetrics. Retrieved2008-06-04.
  2. 2-Jump up^ "Facial Recognition: Who's Tracking You in Public?".Consumer Reports. Retrieved 2016-04-05.

 

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