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

Malik Shahnawaz Khan

ISBN 10: 6202053755 / ISBN 13: 9786202053754

Verlag: LAP LAMBERT Academic Publishing Sep 2017, 2017

Beschreibung

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. Bestandsnummer des Verkäufers 9786202053754

Bibliografische Details

Titel: Real Time Embedded System for Human Body ...

Verlag: LAP LAMBERT Academic Publishing Sep 2017

Erscheinungsdatum: 2017

Einband: Taschenbuch

Zustand: Neu

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Inhaltsangabe:

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.