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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.
Biografía del autor
Malik Shahnawaz Khan is a post-graduation student in Electronics and Communication (Communication Systems Engineering) & Dr. Anilkumar Suthar is a Guide and Director of LJIET.
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- VerlagLAP LAMBERT Academic Publishing
- Erscheinungsdatum2017
- ISBN 10 6202053755
- ISBN 13 9786202053754
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten68
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Real Time Embedded System for Human Body Part (Palm) Localization
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202053755
ISBN 13: 9786202053754
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Real Time Embedded System for Human Body Part (Palm) Localization
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LAP LAMBERT Academic Publishing Sep 2017, 2017
ISBN 10: 6202053755
ISBN 13: 9786202053754
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202053754
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Real Time Embedded System for Human Body Part (Palm) Localization
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202053755
ISBN 13: 9786202053754
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Real Time Embedded System for Human Body Part (Palm) Localization
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202053755
ISBN 13: 9786202053754
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Real Time Embedded System for Human Body Part (Palm) Localization
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202053755
ISBN 13: 9786202053754
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786202053754
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Real Time Embedded System for Human Body Part (Palm) Localization
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202053755
ISBN 13: 9786202053754
Neu
Softcover
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Zustand: 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 . Bestandsnummer des Verkäufers 175567382
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