A Review on AI Based Advanced Skull Identification System for Forensic and Security Applications Using Mechanical Engineering Principles
Abstract & Details
Research Area
Mechanical Engineering
Keywords
Biometric device
3D skull images
AI algorithms
Damage analysis
Blunt force trauma
Sharp force trauma
Real-time monitoring
Forensic investigations.
Abstract
This invention introduces an advanced biometric device designed for forensic and security applications, known as the Advanced Skull Identification System. The system features a multi-angle scanning chamber equipped with high-resolution imaging devices, including cameras, multispectral sensors, and laser scanners. These devices are mounted on a rotating mechanism to capture comprehensive 3D images of skulls. The chamber is equipped with environmental sensors to regulate temperature, humidity, and air quality, ensuring optimal conditions for accurate imaging. Ultrasonic sensors provide internal structural analysis, while AI algorithms, such as convolutional neural networks and clustering algorithms, analyze the data to distinguish between different types of damage, including blunt force trauma, sharp force trauma, and environmental erosion. A high-performance processor compares the captured data against a secure database of pre-recorded skull structures for identification. The system includes a user- friendly software interface that allows for real-time monitoring and adjustments, making it an effective tool for forensic investigations and enhancing security operations.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Samiyoddin S.Siddiqui | Nims Institute of Engineering & Technology, Nims University Rajasthan, Jaipur |
| 2 | Dr.Rahul Singh | Nims Institute of Engineering & Technology, Nims University Rajasthan, Jaipur |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S.Siddiqui, Samiyoddin & Singh, Dr.Rahul (2024). A Review on AI Based Advanced Skull Identification System for Forensic and Security Applications Using Mechanical Engineering Principles. International Journal of Advance Research and Innovative Ideas In Education, 10(5), 2136-2139.
MLA Style
S.Siddiqui, Samiyoddin, and Dr.Rahul Singh. "A Review on AI Based Advanced Skull Identification System for Forensic and Security Applications Using Mechanical Engineering Principles." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, 2024, pp. 2136-2139.
IEEE Style
Samiyoddin S.Siddiqui and Dr.Rahul Singh, "A Review on AI Based Advanced Skull Identification System for Forensic and Security Applications Using Mechanical Engineering Principles," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 5, pp. 2136-2139, 2024.
Vancouver Style
S.Siddiqui Samiyoddin, Singh Dr.Rahul. A Review on AI Based Advanced Skull Identification System for Forensic and Security Applications Using Mechanical Engineering Principles. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(5):2136-2139.
Harvard Style
S.Siddiqui, Samiyoddin & Singh, Dr.Rahul (2024) 'A Review on AI Based Advanced Skull Identification System for Forensic and Security Applications Using Mechanical Engineering Principles', International Journal of Advance Research and Innovative Ideas In Education, 10(5), pp. 2136-2139.
Chicago Style
S.Siddiqui, Samiyoddin and Dr.Rahul Singh. "A Review on AI Based Advanced Skull Identification System for Forensic and Security Applications Using Mechanical Engineering Principles." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 2136-2139.
Turabian Style
S.Siddiqui, Samiyoddin and Dr.Rahul Singh. "A Review on AI Based Advanced Skull Identification System for Forensic and Security Applications Using Mechanical Engineering Principles." International Journal of Advance Research and Innovative Ideas In Education 10, no. 5 (2024): 2136-2139.
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