GOD’s EYE- EYEWITNESS RENDERED FACIAL DEPICTION AND RECOGNITION
Abstract & Details
Research Area
Computer Enginnering
Keywords
Forensic Face Sketch
Face Sketch Construction
Face Recognition
Criminal Identification
Deep Learning
Machine Locking
Two Step Verification
Abstract
In this modern age, the overall crime rate is in- creasing day-by-day and to cope up with this the law enforcement departments too should find ways that would speed up the overall process and help them in bringing one to justice. One such way can be using face recognition technology for identifying and verifying the criminal.
The traditional approach here is to use the hand-drawn face sketches drawn by forensic sketch artist to identify the criminal, modernizing this would mean using the hand-drawn sketch and then matching them with the law enforcement departments database to identify the criminal. Using this approach would result in the various limitations with latest technologies and even would be time consuming as there are very few forensic sketch artists available when compared to the increasing crime ratio.
Our project is aimed on decreasing the time span and speeding up this process by providing a standalone platform to the law enforcement department which would allow users to create accurate face sketch of the suspect without the help of forensic sketch artist and no special training or artistic skills. The sketch can be created using drag and drop feature in the application with variety of face elements and can automatically match the drawn composite face sketch with the law enforcement department’s database much faster and efficiently using deep learning and cloud infrastructure.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Pratik Shinde | PVPIT |
| 2 | Jairaj Shetkar | PVPIT |
| 3 | Gaurav Kondhalkar | PVPIT |
| 4 | Pratik Bhiote | PVPIT |
| 5 | prof. Dipti Aswar | PVPIT |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Shinde, Pratik, Shetkar, Jairaj, Kondhalkar, Gaurav, Bhiote, Pratik, & Aswar, prof. Dipti (2024). GOD’s EYE- EYEWITNESS RENDERED FACIAL DEPICTION AND RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 2248-2256.
MLA Style
Shinde, Pratik, et al. "GOD’s EYE- EYEWITNESS RENDERED FACIAL DEPICTION AND RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 2248-2256.
IEEE Style
Pratik Shinde, Jairaj Shetkar, Gaurav Kondhalkar, Pratik Bhiote, and prof. Dipti Aswar, "GOD’s EYE- EYEWITNESS RENDERED FACIAL DEPICTION AND RECOGNITION," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 2248-2256, 2024.
Vancouver Style
Shinde Pratik, Shetkar Jairaj, Kondhalkar Gaurav, Bhiote Pratik, Aswar prof. Dipti. GOD’s EYE- EYEWITNESS RENDERED FACIAL DEPICTION AND RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):2248-2256.
Harvard Style
Shinde, Pratik, Shetkar, Jairaj, Kondhalkar, Gaurav, Bhiote, Pratik, & Aswar, prof. Dipti (2024) 'GOD’s EYE- EYEWITNESS RENDERED FACIAL DEPICTION AND RECOGNITION', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 2248-2256.
Chicago Style
Shinde, Pratik, et al. "GOD’s EYE- EYEWITNESS RENDERED FACIAL DEPICTION AND RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2248-2256.
Turabian Style
Shinde, Pratik, et al. "GOD’s EYE- EYEWITNESS RENDERED FACIAL DEPICTION AND RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2248-2256.
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