International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
CRIMINAL RECOGNITION USING IMAGE RECOGNITION AND AI Mrs. Shanmuga Priya.R., Harshavardhan.S.D, Monisha.H, Raushan Kumar Chaudhary, H.K.Vinay Kumar 1Assistant Professor, Dept.of Computer Science, Dr.Ambedkar Institute of Technology, Karnataka, India 2Student, Dept.of Computer Science, Dr.Ambedkar Institute of Technology, Karnataka, India
2Student, Dept.of Computer Science, Dr.Ambedkar Institute of Technology, Karnataka, India
3Student, Dept.of Computer Science, Dr.Ambedkar Institute of Technology, Karnataka, India 4Student, Dept.of Computer Science, Dr.Ambedkar Institute of Technology, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------developed system is also the first milestone for image Abstract - Criminal identification plays a vital role in detection and recognition based on surveillance video.
modern law enforcement, facilitating the detection, apprehension and prosecution of persons involved in criminal activity. Advances in criminal identification techniques have been fueled by rapid advances in technology. Traditional methods such as fingerprint analysis and DNA profiling have been augmented by sophisticated automated systems that enable faster and more accurate identification. Additionally, advances in facial recognition, voice analysis, and gait recognition have expanded the repertoire of tools available to law enforcement agencies, improving their ability to identify and apprehend criminals. This project explores how to develop a criminal identification system using ML and deep neural networks to identify criminals at an airport. The faces of criminals are stored in the database. Using Dlib68, people are identified from the live camera feed. Detected persons are compared with database images and identified as suspects. After that, the picture of the wanted person with the date and time will be sent to the authorized person by e-mail via the SMTP protocol. The following method can be inherited as an elegant way to ensure that enforcement is seamless.
1.1 Proposed System This project is focused on the development of an application called Real-Time Criminal Identification System based on facial recognition. We are able to detect and recognize criminals from both image and video, a stream obtained from images in real time. An authorized person logs in through the welcome page to upload images for viewing. Images are stored in a database. A web camera installed at the airport records captured people and images. Image processing and segmentation is performed on the captured images. Using dlib's 68-point detection algorithm, only faces are identified and the identified images are compared with the images stored in the database. If a match is found, the captured image is sent to the authorized person along with the date and time via email via SMTP. This saves a lot of time and is a highly secure process and criminals can be easily detected. Our app is 80 percent accurate and is fast, robust, reliable and easy to use.
Key Words: live camera feed, Dlib68, SMTP protocol
1.2 Objective
1.INTRODUCTION
The main objective of real-time criminal identification based on facial recognition application is to help police personnel to identify criminals.
The criminal record contains personal data about a specific person together with a photo. In order to identify any criminal, we need an eyewitness identification of that person. Identification can be done using fingerprint, eyes, DNA etc. One application is facial identification. The face is the main focus of our attention in social interaction and plays a major role in conveying identity and emotions. The facial recognition system uses a database of stored images and compares the captured image to find a match, if any. For each face image, identification can be done using RGB values for eye color, face width, and height. This system is aimed at identifying offenders in any investigative department. In this system, we store the criminal's image in the database. Eyewitnesses select the slices that appear on the screen, and with this we get a face image from the database. Thus, this system provides a very friendly environment for the operator as well as the eyewitness to easily identify the criminal if the crime record exists in the database. The
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• The purpose of this application is to provide information about a specific criminal that we are finding. • Police personnel can use this app anytime anywhere to find the criminal. • Any police personnel can access this application using internet from anywhere anytime. • We can also find criminals from live CCTV cameras. • This application is fast, robust, reasonably simple and accurate with a relatively simple and easier to understand GUI
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