  Modern-day life is driven by electronic devices connected to the internet.
The emerging research field of the Internet-of-Things (IoT) has become popular,
just as there has been a steady increase in the number of connected devices.
Since many of these devices are utilised to perform CV tasks, it is essential
to understand their power consumption against performance. We report the power
consumption profile and analysis of the NVIDIA Jetson Nano board while
performing object classification. The authors present an extensive analysis
regarding power consumption per frame and the output in frames per second using
YOLOv5 models. The results show that the YOLOv5n outperforms other YOLOV5
variants in terms of throughput (i.e. 12.34 fps) and low power consumption
(i.e. 0.154 mWh/frame).
