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

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.