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I designed and implemented a Facial Recognition–Based Access Control System using edge computing to provide fast and secure authentication. I built the facial recognition pipeline by integrating YOLO for real-time face detection and FaceNet with one-shot learning for identity verification. I organized and trained custom datasets for multiple individuals and optimized the system to run efficiently on edge devices, reducing latency and network dependency. To enhance security, I integrated a fingerprint scanner as a secondary authentication layer. I also handled data preprocessing, model evaluation, and system integration, ensuring accurate recognition and reliable access control for real-world use.…I designed and implemented a Facial Recognition–Based Access Control System using edge computing to provide fast and secure authentication. I built the facial recognition pipeline by integrating YOLO for real-time face detection and FaceNet with one-shot learning for identity verification. I organized and trained custom datasets for multiple individuals and optimized the system to run efficiently on edge devices, reducing latency and network dependency. To enhance security, I integrated a fingerprint scanner as a secondary authentication layer. I also handled data preprocessing, model evaluation, and system integration, ensuring accurate recognition and reliable access control for real-world use.

Ashar Bukhari

Programmer, Web Developer, AI Engineer, +2

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I designed and implemented a Facial Recognition–Based Access Control System using edge computing to provide fast and secure authentication. I built the facial recognition pipeline by integrating YOLO for real-time face detection and FaceNet with one-shot learning for identity verification. I organized and trained custom datasets for multiple individuals and optimized the system to run efficiently on edge devices, reducing latency and network dependency. To enhance security, I integrated a fingerprint scanner as a secondary authentication layer. I also handled data preprocessing, model evaluation, and system integration, ensuring accurate recognition and reliable access control for real-world use.…I designed and implemented a Facial Recognition–Based Access Control System using edge computing to provide fast and secure authentication. I built the facial recognition pipeline by integrating YOLO for real-time face detection and FaceNet with one-shot learning for identity verification. I organized and trained custom datasets for multiple individuals and optimized the system to run efficiently on edge devices, reducing latency and network dependency. To enhance security, I integrated a fingerprint scanner as a secondary authentication layer. I also handled data preprocessing, model evaluation, and system integration, ensuring accurate recognition and reliable access control for real-world use.

Available to hire

I designed and implemented a Facial Recognition–Based Access Control System using edge computing to provide fast and secure authentication. I built the facial recognition pipeline by integrating YOLO for real-time face detection and FaceNet with one-shot learning for identity verification. I organized and trained custom datasets for multiple individuals and optimized the system to run efficiently on edge devices, reducing latency and network dependency. To enhance security, I integrated a fingerprint scanner as a secondary authentication layer. I also handled data preprocessing, model evaluation, and system integration, ensuring accurate recognition and reliable access control for real-world use.