Energy consumption and data amount reduction using object detection on embedded platform (CROSBI ID 642471)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šnajder, Boris ; Kalafatić, Zoran ; Bilas, Vedran
engleski
Energy consumption and data amount reduction using object detection on embedded platform
High resolution image handling often results with high energy burden for battery-powered devices, such as sensor nodes in WSN. Motivation for this study is assessment of energy consumption of the sensor node with high-resolution camera, featuring image processing. We present a selection of object detection algorithms and evaluate their efficiency. To verify applicability of those algorithms, we acquired image sequence that correspond to applications of pests detection in agriculture. We verified considered algorithms' performances: recall, precision and expected reduction of the data amount. Energy required to execute considered algorithms was measured on ARM processor based platform. Our results show that object extraction on a node can provide reduction of the data amount by up to three orders of magnitude. While simple algorithms can lead to lower overall energy consumption of the node, the more complex algorithm provides better performances, but at a cost of prohibitively high energy consumption.
wireless sensor networks; energy efficiency; image processing; object detection; data amount reduction
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
1-12.
2016.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
S-CUBE 2016 - 7th EAI International Conference on Sensor Systems and Software
predavanje
01.12.2016-02.12.2016
Nica, Francuska