• Rait Pravleen Singh
• Chandan Rajpurohit
• Harish Unnikrishnan
• Sonal Balpande

There are many available embedded systems like (Raspberry pi) which are used to make IOT devices, Robots, etc . While such an application of this type of systems are to make autonomous system (Robot) which can travel without any human intervention to a specified destination. This are done using object detection and navigation algorithms. Object detection uses computer vision models like YOLO, Mobile net, etc, which provide a good performance on this type of system at the same time uses the memory of this systems to fullest, Hence the motive of this paper is to use this Object detection mechanisms effectively by using some extra sensors for autonomous traction. The autonomous traction uses specific modules to differentiate the type of area the system is in and navigate in collaboration with object detection.

Computer Vision, Automated traction, Algorithms, Machine Learning

"Automated Traction using Object Detection on Low End Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1675-1678, June 2020, Available :http://www.jetir.org/papers/JETIR2006570.pdf

"Automated Traction using Object Detection on Low End Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1675-1678, June 2020, Available at : http://www.jetir.org/papers/JETIR2006570.pdf