Cost Effective and Easily Configurable Indoor Navigation System

With the advent of Industry 4.0, trend its implementation in current factories has increased tremendously. Using autonomous mobile robots that are capable navigating and handling material a warehouse is one important pillars to convert inventory control more automated smart processes be aligned with 4.0 needs. Navigating robot’s indoor positioning addition finding materials examples location-based services (LBS), some major aspects warehouses should considered. Global satellites (GPS) accurate reliable for outdoor navigation while they not suitable use. Indoor systems (IPS) have been proposed order overcome this shortcoming extend valuable service positioning. This paper proposes simple, cost effective easily configurable system help an optical path following, unmanned ground vehicle (UGV) robot augmented by image processing computer vision deep machine learning algorithms. The prototype as example area, tracking following predefined traced covers all zones warehouse, through usage infrared reflective sensors can detect black lines on bright ground. As metionded before, general mechanism enhanced artificial intelligence (AI) tasks able select required zone destination, locate requested within zone. adopted AI used object recognition algorithms selection quick response (QR) detection.