IoT-Driven Automated Object Detection Algorithm for Urban Surveillance Systems in Smart CitiesI

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Aim:

The aim of this project is to implement intelligent urban surveillance system using IoT for automated Number plate Recognition.

Existing System:

The existing system utilizes other technologies like IR reader, smart card or NFC. These technologies are expensive and laborious to implement. The system which uses computer vision to address these problem were using a single central computing server to process the collected images using cameras scattered across the smart city. This in turn clogs the network since it needs to push live video to the server for processing.

Proposed System:

Here we are proposing a unique combination of technologies which were available in the market. We are proposing to do the image processing in the local environment. The images from the camera were processed near the camera itself and the results were published to the central server for further processing. The scope of this project is to present a cost effective viable solutions, so we will be implementing the system and technologies needed to process the image locally and techniques used in detecting the number plate region.