Abstract
Today, we live in a less secure world. That being said we are constantly under some threat, be it accidents on road or robbery, etc. There are number of security systems which are installed to tackle these problems. Instead, they record video and consume memory. It does not give any implication about the incident. To tackle these problems a real-time suspicious activity detection system should be developed. This system will have an advantage over conventional system as it will continuously monitor the frame from particular camera. This can be implemented in any field using less amount of hardware. The system which we are designing is used to monitor the events taking place in frame of camera using image processing. In this proposed method, we are using a Raspberry Pi as our main processor to which camera will be interfaced.
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Sarang, S., Shinde, H., Raut, V., Sonje, S., Phadke, G. (2020). Real-Time Suspicious Activity Detection. In: Reddy, V., Prasad, V., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2019. Advances in Intelligent Systems and Computing, vol 1118. Springer, Singapore. https://doi.org/10.1007/978-981-15-2475-2_43
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DOI: https://doi.org/10.1007/978-981-15-2475-2_43
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-2474-5
Online ISBN: 978-981-15-2475-2
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