Design and Development of a Safe, Intelligent Moving Machine

Amit Yadav

Abstract


The intelligent moving machine is design for fast response, cost effective and it avoided the obstacle in his path so it is called safe intelligent moving machine (SIMM).An introduction of intelligent behavior of moving machine that can adapt the change as like environment. Also describes the application of intelligent machines. And also the difference between programmed behaviors is given and intelligence. This work presents design and development of an Automatic intelligent system for industrial environment using LabVIEW and its real-time hardware implementation. The machine moves forward, backward, left and right through the signals supplied by the control station. LabVIEW programming has been proved to be more efficient than microcontroller to track this intelligent moving machine with the help of DAQ.The additional feature is that our vehicle is also identifying the obstacle in its path when it moving and give necessary control commands to avoid it.

Keywords: Hardware implementation, LabVIEW programming, motor drive, sensor

References


Ahn. J.H., Kwak. S., Choi. C. An integrated machine vision system for multiple human tracking and silhouette extraction. 2006; 573–83p.

Adam A., Rivlin E., Shimshoni I. Computing the sensory uncertainty field of a Vision-based localization sensor. Proc. Of the IEEE International Conference on Robotics & Automation. 2000 April; 2993–9p.

Awad F., Shamroukh R. Human detection by intelligent machine urban search and rescue using image processing and neural networks. International Journal of Intelligent Science. 2014; 4: 39–53p.

Burridge R., Graham. Providing machine assistance during extra-vehicular activity. SPIE. 2001.

Dibie M., Gurvits L. Machine intelligent localization using landmarks. IEEE Trans On Machine and Automation. 1997 April; 13(2): 251–63p.

Eellotto N., Hu H. Vision and laser data fusion for tracking object with a mobile machine. In proc. IEEE Int. conf. on Machine and Biomimetic (ROBIO), China. 2006; 7-12p.

Feymer D., Konolige K. Tracking object from a mobile platform. In IJCAI-2001 Workshop on Reasoning with Uncertainty in Machine. Seattle, USA, 2001.

Feymer D., Konolig K. Tracking obstacle from a moving platform. Int. Proceeding of 202 int. Symp. On Experimental Machines. 2002; 234–44p.

Gold J., Koren K. Obstacle avoidance with ultrasonic sensors. IEEE Journal of Robotics and Automation. 1988; RA-4(2): 213–8p.

Hook A., Koren K. Real- time obstacle avoidance for fast moving machine. IEEE Transactions on system, Man and Cybernetics B. 1989; 19(5): 1179–87p




DOI: https://doi.org/10.37628/ijemd.v1i1.189

Refbacks

  • There are currently no refbacks.