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- Title
Real-time human detection for electricity conservation using pruned-SSD and arduino.
- Authors
S., Ushasukhanya; S., Jothilakshmi
- Abstract
Electricity conservation techniques have gained more importance in recent years. Many smart techniques are invented to save electricity with the help of assisted devices like sensors. Though it saves electricity, it adds an additional sensor cost to the system. This work aims to develop a system that manages the electric power supply, only when it is actually needed i.e., the system enables the power supply when a human is present in the location and disables it otherwise. The system avoids any additional costs by using the closed circuit television, which is installed in most of the places for security reasons. Human detection is done by a Modified-single shot detection with a specific hyperparameter tuning method. Further the model is pruned to reduce the computational cost of the framework which in turn reduces the processing speed of the network drastically. The model yields the output to the Arduino micro-controller to enable the power supply in and around the location only when a human is detected and disables it when the human exits. The model is evaluated on CHOKEPOINT dataset and real-time video surveillance footage. Experimental results have shown an average accuracy of 85.82% with 2.1 seconds of processing time per frame.
- Subjects
ELECTRIC power consumption; ELECTRIC power; CLOSED-circuit television; POWER resources; VIDEO surveillance; SOLID state drives; ELECTRIC power conservation
- Publication
International Journal of Electrical & Computer Engineering (2088-8708), 2021, Vol 11, Issue 2, p1510
- ISSN
2088-8708
- Publication type
Article
- DOI
10.11591/ijece.v11i2.pp1510-1520