Ambient-Assisted Living for Image Context-Aware System on Smart City(1/3)

Project Details

Description

Smart city uses information and communication technologies to enhance quality, performance and interactivity of urban services, to reduce costs and resource consumption and to improve contact between citizens and government. In IOT booming era, integrating different technology systems helps to enhance the quality of life and to reach the goal of Ambient Assisted Living (AAL). To implement the AAL system in smart city, we propose the event detection algorithm which uses in smart city. Our project focus on the surveillance system in the streets and driving camera recorder. We use PTZ intelligent camera to detect whether special event happened or not. We divide the system into two modes, “normal mode and burst mode”. In normal mode, there is nothing special event happened, so we just need to transmit some frame during few seconds. In bust mode, the system will detect some special situation, like: car accident. standing water. oil. construction and danger person, then transmit the video to the user near around or coherent units for prevention. On the other hand, driving camera recorder can detect car accident and transmit the video to the cloud to help the police unit and the people to clarify the accident. Our system will contact with MAC layer to modify throughput. As the high bandwidth we can transmit high resolution. On the other hand, if the bandwidth is limited, our system will down sample the video in case to trade off the transmission quality with MAC layer.
StatusFinished
Effective start/end date1/08/1631/07/17

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 17 - Partnerships for the Goals

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