Real Time Embedded System for Human Body Part (Palm) Localization

Khan, Malik Shahnawaz; Suthar, Anil

ISBN 10: 6202053755 ISBN 13: 9786202053754
Edité par LAP LAMBERT Academic Publishing, 2017
Neuf(s) Couverture souple

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The implementation of an embedded system which is competent in detection of human body parts. In a catastrophe, for example, an avalanche or seismic tremor, and many other, where it is conceivable that the underlying state of threat holds on as would be the situation of a quake, in which inside a building bars and parts of the structure stay conferred, and in addition the general population who chance their lives discovering casualties. Another problem is that there is a large scale variation in those objects. Object detection and tracking algorithm must take place in near real time. In response, the designed system implemented on a robot provides a solution by using artificial intelligence algorithms and image processing running on embedded systems. Using the object detection algorithm like Haar cascade classifier it detects the image of whole face, eyes, and mouth. The System, in our context, is a smaller version of an autonomous system. For example, autonomous systems could be mobile robots, miniature helicopter/quad rotor systems, or smart cars such a self-driving vehicles.By using algorithms that provide robust and efficient detection and tracking device.

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Titre : Real Time Embedded System for Human Body ...
Éditeur : LAP LAMBERT Academic Publishing
Date d'édition : 2017
Reliure : Couverture souple
Etat : New

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Malik Shahnawaz Khan|Anil Suthar
ISBN 10 : 6202053755 ISBN 13 : 9786202053754
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Malik ShahnawazMalik Shahnawaz Khan is a post-graduation student in Electronics and Communication (Communication Systems Engineering) & Dr. Anilkumar Suthar is a Guide and Director of LJIET.The implementation of an embedded . N° de réf. du vendeur 175567382

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Malik Shahnawaz Khan
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The implementation of an embedded system which is competent in detection of human body parts. In a catastrophe, for example, an avalanche or seismic tremor, and many other, where it is conceivable that the underlying state of threat holds on as would be the situation of a quake, in which inside a building bars and parts of the structure stay conferred, and in addition the general population who chance their lives discovering casualties. Another problem is that there is a large scale variation in those objects. Object detection and tracking algorithm must take place in near real time. In response, the designed system implemented on a robot provides a solution by using artificial intelligence algorithms and image processing running on embedded systems. Using the object detection algorithm like Haar cascade classifier it detects the image of whole face, eyes, and mouth. The System, in our context, is a smaller version of an autonomous system. For example, autonomous systems could be mobile robots, miniature helicopter/quad rotor systems, or smart cars such a self-driving vehicles.By using algorithms that provide robust and efficient detection and tracking device. 68 pp. Englisch. N° de réf. du vendeur 9786202053754

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Malik Shahnawaz Khan
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Taschenbuch. Etat : Neu. Neuware -The implementation of an embedded system which is competent in detection of human body parts. In a catastrophe, for example, an avalanche or seismic tremor, and many other, where it is conceivable that the underlying state of threat holds on as would be the situation of a quake, in which inside a building bars and parts of the structure stay conferred, and in addition the general population who chance their lives discovering casualties. Another problem is that there is a large scale variation in those objects. Object detection and tracking algorithm must take place in near real time. In response, the designed system implemented on a robot provides a solution by using artificial intelligence algorithms and image processing running on embedded systems. Using the object detection algorithm like Haar cascade classifier it detects the image of whole face, eyes, and mouth. The System, in our context, is a smaller version of an autonomous system. For example, autonomous systems could be mobile robots, miniature helicopter/quad rotor systems, or smart cars such a self-driving vehicles.By using algorithms that provide robust and efficient detection and tracking device.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. N° de réf. du vendeur 9786202053754

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Malik Shahnawaz Khan
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The implementation of an embedded system which is competent in detection of human body parts. In a catastrophe, for example, an avalanche or seismic tremor, and many other, where it is conceivable that the underlying state of threat holds on as would be the situation of a quake, in which inside a building bars and parts of the structure stay conferred, and in addition the general population who chance their lives discovering casualties. Another problem is that there is a large scale variation in those objects. Object detection and tracking algorithm must take place in near real time. In response, the designed system implemented on a robot provides a solution by using artificial intelligence algorithms and image processing running on embedded systems. Using the object detection algorithm like Haar cascade classifier it detects the image of whole face, eyes, and mouth. The System, in our context, is a smaller version of an autonomous system. For example, autonomous systems could be mobile robots, miniature helicopter/quad rotor systems, or smart cars such a self-driving vehicles.By using algorithms that provide robust and efficient detection and tracking device. N° de réf. du vendeur 9786202053754

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Khan, Malik Shahnawaz/ Suthar, Anil
ISBN 10 : 6202053755 ISBN 13 : 9786202053754
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Paperback. Etat : Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. N° de réf. du vendeur zk6202053755

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