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The future of the world depends upon the latest technologies and innovative ideas. The innovative concepts help to upgrade our knowledge. Technology is changing how people purchase grocery products, clothes, and other products. With retailers hopping on the cashier-less bandwagon in an effort to attract time-crunched shoppers, emerging technologies are helping them make this possible. The retail sector is changing dynamically with all the videos captured in unconstrained real-world scenarios is an interesting problem with many potential applications. This report presents an efficient approach to digital image processing techniques, face detection algorithms, and object detection algorithms. In this report, we talk about the future of Retail Shops wherein people can just take the item they want and leave the store without waiting in the checkout line. The AI that controls the environment follows each customer, noting each item is taken and any that may be put back, so no errors are made and there are no charges for products not brought home.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2021
- ISBN 10 6203840319
- ISBN 13 9786203840315
- BindingPaperback
- LanguageEnglish
- Number of pages72
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Deep Learning based Image Processing
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LAP LAMBERT Academic Publishing Apr 2021, 2021
ISBN 10: 6203840319
ISBN 13: 9786203840315
New
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The future of the world depends upon the latest technologies and innovative ideas. The innovative concepts help to upgrade our knowledge. Technology is changing how people purchase grocery products, clothes, and other products. With retailers hopping on the cashier-less bandwagon in an effort to attract time-crunched shoppers, emerging technologies are helping them make this possible. The retail sector is changing dynamically with all the videos captured in unconstrained real-world scenarios is an interesting problem with many potential applications. This report presents an efficient approach to digital image processing techniques, face detection algorithms, and object detection algorithms. In this report, we talk about the future of Retail Shops wherein people can just take the item they want and leave the store without waiting in the checkout line. The AI that controls the environment follows each customer, noting each item is taken and any that may be put back, so no errors are made and there are no charges for products not brought home. 72 pp. Englisch. Seller Inventory # 9786203840315
Quantity: 2 available
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Deep Learning based Image Processing : Cashier-less Self-Checkout Methodology
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203840319
ISBN 13: 9786203840315
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The future of the world depends upon the latest technologies and innovative ideas. The innovative concepts help to upgrade our knowledge. Technology is changing how people purchase grocery products, clothes, and other products. With retailers hopping on the cashier-less bandwagon in an effort to attract time-crunched shoppers, emerging technologies are helping them make this possible. The retail sector is changing dynamically with all the videos captured in unconstrained real-world scenarios is an interesting problem with many potential applications. This report presents an efficient approach to digital image processing techniques, face detection algorithms, and object detection algorithms. In this report, we talk about the future of Retail Shops wherein people can just take the item they want and leave the store without waiting in the checkout line. The AI that controls the environment follows each customer, noting each item is taken and any that may be put back, so no errors are made and there are no charges for products not brought home. Seller Inventory # 9786203840315
Quantity: 1 available
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Deep Learning based Image Processing
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203840319
ISBN 13: 9786203840315
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dumbare AmolAmol N. Dumbare received the B.E. degree in Computer Engineering from Pimpri Chinchwad college of Engineering, Akurdi in 2012 and also completed M.Tech in Computer Science Engineering from Jawaharlal Nehru Technical Unive. Seller Inventory # 470284076
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Deep Learning based Image Processing
Published by
LAP LAMBERT Academic Publishing Apr 2021, 2021
ISBN 10: 6203840319
ISBN 13: 9786203840315
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -The future of the world depends upon the latest technologies and innovative ideas. The innovative concepts help to upgrade our knowledge. Technology is changing how people purchase grocery products, clothes, and other products. With retailers hopping on the cashier-less bandwagon in an effort to attract time-crunched shoppers, emerging technologies are helping them make this possible. The retail sector is changing dynamically with all the videos captured in unconstrained real-world scenarios is an interesting problem with many potential applications. This report presents an efficient approach to digital image processing techniques, face detection algorithms, and object detection algorithms. In this report, we talk about the future of Retail Shops wherein people can just take the item they want and leave the store without waiting in the checkout line. The AI that controls the environment follows each customer, noting each item is taken and any that may be put back, so no errors are made and there are no charges for products not brought home.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Seller Inventory # 9786203840315
Quantity: 2 available