CatchCrime

Project Title

CatchCrime

Project Area of Specialization Software EngineeringProject Summary

It is an AI-based application for identifying criminals through face detection with or without a mask and Arm detection. A security expert inputs an image of a person, and the system will check whether the suspected person has any criminal record. If a match is found, it will display an output stating that the image is recognized and the criminal record will be displayed and sent an alert message to the nearest Police Station.

Background

In the modern world, security is one of the main concerns. There is a significant rise in threats to society with an increasing rate of crimes. Even have many ways of identifying a person, biometric identification approaches have had a huge attraction because of the accuracy and the uniqueness of the biometric factors of a person. Fingerprint recognition, voice recognition, palm recognition iris, and voice recognition are the approaches to biometric identification. The advantage of the face recognition approach is people do not need to look into an iris scanner or place their hands on a fingerprint reader or speak to a close-by microphone. And also face recognition techniques can be very useful in footage taken by surveillance and applications.

Project Objectives

Objectives

• Face Detection
• Arm Detection
• Alert Message
• Nearby Facility

Project Implementation Method

Agile Methodology

Agile Methodology meaning a practice that promotes continuous iteration of development and testing throughout the software development lifecycle of the project. In the Agile model in software testing, both development and testing activities are concurrent, unlike in the Waterfall model.

Benefits of the Project

Today, an increase in the crime rate has become a huge concern for everyone. It has become extremely difficult in catching criminals in time. Identification on time has become a tedious job for the concerned authorities. A face recognition system can be used for this problem. Face recognition is a simple system. It uses the human identifier (face). With the advancement in technology, extracting features of the face has become simple. The aim here is not only to recognize the face but if a criminal carries an arm with himself so the app will detect the arm too. A face recognition system can be automated by recognizing the faces of criminals in cameras and images with recognized faces can be sent to the concerned authorities through an automated alert.

Technical Details of Final Deliverable

Front-end

• Dart 
• Flutter

Back-end

• Python
• Firestore

Development Tools

• VS Code IDE
• Android Studio IDE
• AdobeXD (UI Design)

Final Deliverable of the Project Software SystemCore Industry SecurityOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Peace and Justice Strong InstitutionsRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
Laptop	Equipment	2	35000	70000
Thesis Report	Miscellaneous	2	2000	4000
RequirmentGathering	Miscellaneous	3	2000	6000