This project implements a face recognition system that combines YOLOv8 for face detection and Facenet (MTCNN and InceptionResnetV1) for face recognition. It can be used for both live video feeds (e.g.
The little module has a camera and face detection built into it. It doesn’t draw much power at 150 milliwatts. It can sense faces, including where they are and how many people are looking.
I am software engineer working on web ,mobile app and Ai, Some of the projects which I have managed and successfully implemented are: 1) Anomaly detection. 2) Live Tracking of Person and recording ...
In this paper, we propose Embedding exchange-inspired unsupervised Time-series Anomaly Detection (ExTAD) with modal consistency to learn multimodal representations that improve detection performance.
The paper titled “HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere” examines biometric systems’ robustness by analyzing how different AI models can be ...
Nguyen and a fellow Harvard student, Caine Ardayfio, had built glasses used for identifying strangers in real time, and had demonstrated ... video to Instagram. Face detection software, which ...