IMAGE PROCESSING – IDENTIFCATION OF DEAD CHICKEN TO PREVENT DISEASE G.YUVARAJ‚ Ph: 9159970702 SRI SAKTHI INSTITUTE OF ENGINEERING AND TECHNOLOGY‚ COIMBATORE-641062 Email:yuvarajdoit@gmail.com ABSTRACT: Our paper tries to completely automate the poultry process by continuously monitoring the chickens in the poultry and by the application of image processing‚ identify the dead chicken using a camera and inform the appropriate person so that the
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‘Esquire Magazine’ (March 1965) Contextual Studies Essay‚ GD Year 1‚ Sophie Costello Image Analysis I’ll be researching the image on the front cover of an Esquire magazine‚ titled ’The Masculinisation of the American Woman ’ Issue no. 376 (March‚ 1965)‚ the Verna Lisi cover in a photo shoot showcasing the iconic blonde caught mid-shave. I found the image in a book by Richard Hollis called ‘Graphic Design‚ A concise History’ (2001). The reason I chose to study this advert was because it
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debating whether Pepsi is better than Coke or if Coke is better than Pepsi. A few articles say Coke wins the battle between Pepsi and Coke. The other articles state Pepsi wins the controversy. Some articles state that nobody wins the Coke vs. Pepsi battle. Pepsi apparently has a softer fizz than Coke. Pepsi’s characterized is a citrusy flavor burst‚ while Coke has more of a raisiny vanilla flavor. Pepsi’s flavor is more sharper than Coke’s flavor. Coke has 160 calories while Pepsi has 10 less
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Page 1 of 8 ANZMAC 2009 Vertical Brand Extensibility: A Conceptual Framework Nicolas Pontes‚ Monash University‚ nicolas.pontes@buseco.monash.edu.au Colin Jevons‚ Monash University‚ colin.jevons@buseco.monash.edu.au Abstract Brand extension have been discussed to a great extent during the past two decades‚ however‚ most of the work has focused horizontal extensions and little attention has been payed to vertical brand extension. To fulfil this imbalance of existing knowledge‚ in this article
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Compete in India History Background Coke and Pepsi Learn to Compete in India Case Summary Indian softdrinks Market Six product segments-Economic crisis of 1991 leaving consumers with little choice of brands -1986 “Pepsi Foods Ltd.” “Lehar Pepsi” -1990 Coca-Cola Reenters market with joint venture “Britco Foods” -Later partner with Parle Advertising Pepsi and Coke sponsor TV campaigns‚ Urban Youth‚ Cultural Festivals and Sports Fans. Both Pepsi and Coke look to expand into other markets (fruit
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G Model BODYIM-242; No of Pages 9 Body Image xxx (2009) xxx–xxx Contents lists available at ScienceDirect Body Image journal homepage: www.elsevier.com/locate/bodyimage Multidimensional body image comparisons among patients with eating disorders‚ body dysmorphic disorder‚ and clinical controls: A multisite study§ Joshua I. Hrabosky a‚*‚ Thomas F. Cash b‚ David Veale c‚ Fugen Neziroglu d‚ Elizabeth A. Soll e‚1‚ David M. Garner e‚3‚ Melissa Strachan-Kinser f‚2‚ Bette Bakke g‚ Laura
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Wendy Montagno Mkt-3120-401 Firm Mission Statement PepsiCo. Pepsi has had a long and rich history. The drink was invented by Caleb Bradham‚ a pharmacist in New Bern‚ North Carolina. He patented the drink and launched the Pepsi-Cola Company in1902‚ from the back room of his pharmacy. It developed into a strong franchise system. The dedication of the local Pepsi-Cola bottlers‚ have provided a solid foundation. Pepsi’s mission has always been to be a responsible corporate citizen. They strive
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Project submitted on MARKETING STRATEGIES OF PEPSI Page | 1 CONTENTS SR. NO. TOPIC PAGE NO. 4 4 5 6 7 8 8 9 10 11 11 11 12 12 11 11 12 14 15 16 17 19 19 21 21 22 22 23 23 24 25 25 26 26 27 28 28 29 29 30 31 32 33 Page | 2 I PepsiCo Mission…………………………………………………………… II A Brief Pepsi History ……………………………………………………... III Corporate Profile: PepsiCo In India………………………………………. 3.1 Origin Of PepsiCo India………………………………………… 3.2 From Joint Venture To Wholly Owned………………………… 3.3 Corporate Management..........
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Elementary Introduction to Image Processing Based Robots 2009 Acknowledgement P age |2 • My Senior Sourabh Sankule • My Friends Mayank and Ashish • Robotics Club‚ IIT Kanpur • Electronics Club‚ IIT Kanpur • Centre for Mechatronics‚ IIT Kanpur Ankur Agrawal IIT Kanpur P age |3 Contents Introduction ................................................................................................................ 4 MATLAB ............................................
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Abstract This paper is about a selected few image processing applications. Optical Character Recognition is the translation of images of handwritten‚ typewritten or printed text into machine-editable text. Then I have introduced the captcha that we so frequently encounter in common websites. An algorithm trying to solve or break a captcha has been explained. Face detection is a growing and an important tool in security these days. It must be applied before face recognition. There are many
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