Criminal Face Detection System |
Author(s): |
| Shivam Gupta , Raj Kumar Goel Institute Of Technology; Samant Singh, Raj Kumar Goel Institute Of Technology; Prince Kumar Yadav, Raj Kumar Goel Institute Of Technology; Santosh Kumar, Raj Kumar Goel Institute Of Technology |
Keywords: |
| Face Recognition, JavaScript, Node.js, face-API.js, TensorFlow.js, Real-Time Detection, Web-cam, Video Processing |
Abstract |
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This study introduces an on-the-web face recognition system realized with the help of JavaScript, Node.js, and the wrapper face-API.js over TensorFlow.js. It allows facial recognition and detection out of webcam input or video data, running a full-fledged browser-based app without server computation. With the use of Node.js and Express.js for server-side routing and face-API.js for client-side inference, the system is able to provide real-time performance with reasonable accuracy, even for machines lacking GPU. System architecture, steps in implementation, performance differences depending on hardware, and real-world applications are examined in the research. The outcome shows that browser-based face recognition is a good fit for lightweight, portable, and accessible applications in authentication and surveillance applications. |
Other Details |
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Paper ID: IJSRDV13I30131 Published in: Volume : 13, Issue : 3 Publication Date: 01/06/2025 Page(s): 186-194 |
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