#HOME SECURITY IP CAM ALFRED ANDROID#

We had started building our AI features at Alfred Camera since 2017. This is important because the app is leveraging old phones and we'd like the feature to reach as many users as possible. The machine learning models for detection are hand-crafted and trained by our team using TensorFlow, and run on TensorFlow Lite with good performance even on mid-tier devices. Once it identifies a moving object in the area, the app will begin recording the video and send notifications to the device owner. Our aim is to integrate AI technology into devices that are accessible to everyone.Īlfred Camera currently has a feature called Moving Object Detection, which continuously uses the device’s camera to monitor a target scene.

The Alfred Camera team is composed of professionals in various fields, including an engineering team with several machine learning and computer vision experts. The mission of Alfred Camera is to provide affordable home security so that everyone can find peace of mind in this busy world. By downloading the app, users are able to turn their spare phones into security cameras and monitors directly, which allows them to watch their homes, shops, pets anytime.

#HOME SECURITY IP CAM ALFRED ANDROID#

What is Alfred Camera?Īlfred Camera is a smart home app for both Android and iOS devices, with over 15 million downloads worldwide. In this article, we’d like to give you a short overview of Alfred Camera and our experience of using MediaPipe to transform our moving object feature, and how MediaPipe has helped to get things easier to achieve our goals. Please note that the information, uses, and applications expressed in the below post are solely those of our guest author, Alfred Camera. Guest post by the Engineering team at Alfred Camera

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