Ruilong Chen1, Guangfu Zeng1, Ke Wang2, Lei Luo1,*, Zhiping Cai1
Journal on Internet of Things, Vol.2, No.2, pp. 55-64, 2020, DOI:10.32604/jiot.2020.09814
- 14 September 2020
Abstract Smoking is the main reason for fire disaster and pollution in petrol
station, construction site and warehouse. Existing solutions based on wearable
devices and smoking sensors were costly and hard to obtain evidence of smoking
in unmanned scenarios. With the developments of closed circuit television (CCTV)
system, vision-based methods for object detection, mostly driven by deep learning
techniques, were introduced recently. However, the massive GPU computing
hardware required by the deep learning algorithm made these methods hard to be
deployed. This paper aims at solving the smoking detection problem on edge and
proposes the solution More >
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