City Surveillance System

Our idea recognises and looks for missing/criminal people through cameras and alerts the police and also creates the path of the missing/criminal person real time

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Inspiration

With inceasing population day by day and so the crime rates.We want to solve the typical issues like identity criminals on the run ,find missing children and also the victims of human trafficking or to keep an eye on a person of interest. It may be used by all the police station. when missing are listed to database, police can become alert as soon as they recognised by facial recognition.

What it does

A web portal that will help police to search missing persons or criminals through the installed CCTV cameras across the city in a real time. If a person is detected on the images/videos taken by camera it will inform respective police station in a real-time with his location and time. Police can see the ‘last seen’ of the person and navigate to that place to catch the suspect and a User friendly facebook Chatbot for status intimation

How I built it

We created a ML based system that uses MTCNN and face embedding model to recognise missing persons. This ML based system is interacting with firebase and firestore using REST API. A web interface using REACT, EXPRESS, NODE which helps users view the current status of the case. It uses JWT token to establish an industrial level security. Along with this, we have also built a dialogueflow chatbot which is integrated with facebook messenger which helps users interact and get the status of the case with the help of its caseID.

Challenges I ran into

It was quite hard to find dataset of faces of Indian people.

Accomplishments that I'm proud of

We created and successfully deployed a chatbot that helps users know the status of the case. We have successfully instreaming the live data to and from firebase to python. Our biggest achievement is putting everything together on a single plate in less than 24 hr under immense pressure.

What I learned

We learnt how to handle and use firebase and firestore though we were not very verse with this technology. We also learned how to handle immense pressure and still make an outstanding product.

What's next for City Surveillance System

In the future, we hope to start a live video streaming service of the suspects to the police station and map navigation and integration in the web portal itself for faster navigation that will in turn make it more effecient and faster.

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