In this project, we have used the computer vision algorithm SSD (Single Shot detector) computer vision algorithm and trained this algorithm from the dataset which consists of 139 Pictures. Images were labeled using Intel CVAT (Computer Vision Annotation Tool) We trained this model for facial detection. We have deployed our trained model and software in the Nvidia Jetson Nano Developer kit. Model code is written in Pytorch's deep learning framework. The programming language used is Python.

翻译：在这个项目中,我们使用了计算机视觉算法 SSD(单一射击探测器) 计算机视觉算法,并从包含139幅图片的数据集中培训了这种算法。图像用Intel CVAT(计算机视觉说明工具)贴上了标签,我们用这种模型来进行面部检测。我们已经在Nvidia Jetson Nano Developmenter 工具包中部署了我们经过培训的模型和软件。模型代码用Pytorch的深层学习框架书写。使用的编程语言是 Python。