Artificial Intelligence Based Aerial Surveillance for Smart City |
Author(s): |
| Vishal Nagar , A. D. Patel Institute of Technology; Priyam Bhatt, A. D. Patel Institute of Technology; Smitkumar Patel, A. D. Patel Institute of Technology |
Keywords: |
| Artificial Intelligence, Smart City, Garbage Detection, Pothole Detection, Aerial Object, Faster-RCNN-Inception-V2, Flood Surveillance, Festival Surveillance, Political Rallies Surveillance, Machine Learning, TensorFlow |
Abstract |
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The proposed system has been developed with the aim of minimum human intervention and an ability for smart decision making using latest technologies like artificial intelligence. The system mainly consists of an Aerial Object, which will be flying across the city, keeping an eye beneath. A High definition Camera attached to the Aerial Object will be capturing different areas of the cities. These images will be streamline with the Cloud Server, which is capable of detecting garbage pileups, potholes, pollution near river sides, encroachment, traffic congestions and even accidents. The project is cost-effective, which can be utilized not only by smart cities but also by small towns. |
Other Details |
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Paper ID: IJSRDV8I90126 Published in: Volume : 8, Issue : 9 Publication Date: 01/12/2020 Page(s): 242-243 |
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