Sensor Based Location Tracking in Crematorium
Youn-Sik Hong1, Hye-Kyung Jeon2
1Youn-Sik Hong*, Department of Computer Science and Eng., Incheon National University, Incheon, Korea.
2Hye-Kyung Jeon, Department of Computer Science and Eng., Incheon National University, Incheon, Korea.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 513-519 | Volume-8 Issue-12, October 2019. | Retrieval Number: L34001081219/2019©BEIESP | DOI: 10.35940/ijitee.L3400.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We focused on indoor location tracking of an AGV (automatic guided vehicle) in crematorium. Our concern is that it should transport a dead body safely from the loading place to the designated furnace without stopping in transit. The entire path can be divided into four sub-paths: straight-line, deceleration, rotation, and path reentry. Since these sub-paths have different driving conditions, the method of location tracking to be applied for each sub-path is quite different. In the straight line sub-path, a method of finding the defined path by recognizing landmarks using infrared sensor and image sensor is applied. In the deceleration sub-path, BLE beacons are used to tell the AGV to slow down for rotation. In the 90-degree rotation sub-path, the speed control of the AGV is performed in three sections: deceleration, constant velocity, and acceleration. Finally, in the path reentry sub-path, image marker based relative distance fingerprinting can control the AGV to move into the furnace safely.
Keywords: Indoor Location Tracking, Automatic Guided Vehicle, Landmark Recognition, Internet of Things
Scope of the Article: Internet of Things