{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f72cd0d666284853809f8ce85dcee246\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f72cd0d666284853809f8ce85dcee246-8c60002a6d9d6fab.gif","duration":86.109,"title":"Automating Attendance Management with Deep Learning","description":"Hi everyone, I wanted to share my automated solution for managing employee attendance, which I've developed to streamline the process. It utilizes a deep learning pipeline that includes MT-CNN for face detection and Inception ResNet V1 for generating high-dimensional embeddings. This approach not only improves accuracy but also enhances efficiency compared to manual methods. I encourage you all to consider how this technology could be integrated into our current systems. Your feedback and thoughts on implementation would be greatly appreciated!"}