Abstract
Recently, with the rapid development of society, solutions to reduce energy consumption in the world have attracted a lot of attention, especial electric energy. In this regard, a system that can control light on and off by determining the location of the person to reduce the waste of electricity used in public buildings, called intelligent building lighting system. Following the practical requirements of the intelligent building lighting system, a technique for positioning in indoor environments is proposed, supporting the design of a positioning system based on deep learning and the Cerebellar Model Articulation Controller (CMAC), called Y-CMAC.This technique adopts YOLOv3 (the method in the paper of YOLOv3: An Incremental Improvement) for object detections and makes the coordinate of a person in the image. On the other hand, using CMAC to calculate the actual position of the person in the indoor environment. Moreover, massive surveillance video is used to reduce the cost of equipment and facilitate the promotion of applications. The average positioning error is controlled at around 1m in this paper.
Highlights
With the continuous development of the social economy, the accelerating process of global industrialization and urbanization, and the scale of the construction industry in various countries has continued to expand
When we calculated the relative error of the two models, we found that the highest relative error of the Y-Cerebellar Model Articulation Controller (CMAC) was 0.22, and the average was 0.14
WORK This paper mainly proposes a new indoor positioning scheme based on the deep learning algorithm, called Y-CMAC, to achieve cost-effective indoor positioning
Summary
With the continuous development of the social economy, the accelerating process of global industrialization and urbanization, and the scale of the construction industry in various countries has continued to expand. The RFID indoor positioning technology can obtain centimeterlevel positioning accuracy information within a few milliseconds, with a small logo size and a large transmission range It has the disadvantage of poor anti-interference ability, and it is difficult to promote its application in practical systems. Compared with IR, RFID, and other technologies, we will reduce the cost of indoor personnel positioning that using existing surveillance video data, and this method is easy to promote. This method is used to control the switch on or switch off of the light for the intelligent building lighting system. When we know the position of the person, we will transfer the position coordinates of the personnel to the light controller through the usbto433 interface, we can control the switch of the light to reduce the waste of electricity used in lighting
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