Volume 20 No 12 (2022)
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Implementation of AIoT as Cloud-Edge Collaborative system for Video Surveillance using Raspberry pi
Ms. Trupti K. Wable, Dr. Rahul Mishra
Cloud-Edge Collaborative Video Surveillance (CECVS) using Artificial Intelligence of Things (AIoT) is a powerful concept that has wide-reaching implications for modern surveillance systems. This type of surveillance relies on the combination of cloud computing to provide real-time distributed intelligence and edge devices in order to minimize the response time and the cost for complex computations. To achieve the desired result, the AIoT system should be able to effectively monitor a video feed with the help of an edge device such as Raspberry Pi. The Raspberry Pi would be used to capture, encode, and send the video data from the camera to the cloud. The captured video data can then be used for analytics and AI-based applications that require large computing resources such as facial recognition, sentiment identification, and object recognition. Utilizing the cloud platform for distributed intelligence and the edge device for high-level computation, the AIoT system can be used to streamline the security and surveillance process.
Cloud-Edge collaboration, Cloud Computing, Edge Computing, Artificial Intelligence, Internet of Things.
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