scholarly journals Durable Motion Detection System using Node MCU

Motion detection is the main agenda of this paper, with smart technologies. This paper shows how motion can be detected with efficiency and at the same time with durability of the system. Many IOT (Internet of Things) systems are designed for the same purpose but cannot assure a long run of the system. This paper makes use of chip set called NodeMCU that is well known for its durability and also efficient enough by consuming low power and cost effective. We generally find other boards like Raspberry Pi which aren’t very durable in nature. The same system can be developed using these chips in a cost effective manner, the only problem with these chips is their durability.

2016 ◽  
Vol 10 (5) ◽  
pp. 37-40
Author(s):  
Priya B. ◽  
Viraj M. ◽  
Swapna Jadhav ◽  
M.B. Potdar

2013 ◽  
Vol 339 ◽  
pp. 59-63
Author(s):  
Chun Yan Hou ◽  
Li Geng Yu ◽  
Kang Ping Yao ◽  
Xue En Li

At present, the pulse detection devices and most of the studies are mainly for personal application, there is no such device of pulse detection suitable for the large-scale groups,and the wristband-style pulse detection device is also a very difficult kind of pulse detection devices, the accuracy of them is not high enough in the dynamic state,and the stability is not strong enough. In this paper, we introduce a wristband-style pulse and motion detection system which is fit for large scale group and its stability is strong. We also propose an more effective pulse algorithm in the system,especially for the dynamic state. Also, we employ the Internet of Things technology to realize attendance and positioning management for people. Now the system has been used in some schools and works well.


Author(s):  
Lalit K. Surwade ◽  
Pallavi D. Patil ◽  
Bhagyshree B. Surwade ◽  
Bhavna D. Patil ◽  
Nilesh V. Ingal

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