The world’s first deep learning enabled video camera for developers
AWS DeepLens helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
The new AWS DeepLens (2019 Edition) is available to purchase in the USand in seven new countries:UK, Germany, France, Spain, Italy, Canada,and Japan. We have improved the hardware and software to make the device even easier to setup, allowing you to get started with machine learning more quickly.
Start learning right away
Get hands-on with deep learning
Learn the basics of deep learning - a machine learning technique that uses neural networks to learn and make predictions - through computer vision projects, tutorials, and real world, hands-on exploration with a physical device. AWS DeepLens lets you run deep learning models locally on the camera to analyze and take action on what it sees.
10 minutes to your first deep learning project
Choose your deep learning model from the AWS DeepLens pre-trained model library, or your own models trained with Amazon SageMaker.
Deploy your model to the device with a single click.
Watch the results in real time in the AWS Management Console.
Get started by using the DeepLens sample projects shown below, which cover some of the most popular computer vision use cases. As your skills and ideas develop, you can build custom deep learning models in the cloud using Amazon SageMaker. Check out the collection of projectscreated by the developer community for inspiration.freesexvideos性欧美最新推荐资源Accurately detect and recognize objects. Hot dog not hot dog freesexvideos性欧美最新推荐资源Cat and dog Detect a cat or dog using your DeepLens. BIRD CLASSIFICATION Detect more than 200 species of birds. Activity recognition Recognize more than 30 kinds of actions such as brushing teeth, applying lipstick, and playing guitar. Face Detection Detect faces of people. HEAD POSE DETECTION Detect 9 different head pose angles.
Get started by using the DeepLens sample projects shown below, which cover some of the most popular computer vision use cases. As your skills and ideas develop, you can build custom deep learning models in the cloud using Amazon SageMaker. Check out the collection of projectscreated by the developer community for inspiration.
Intel Atom® Processor
Ubuntu OS-16.04 LTS
16GB Memory (expandable)
Intel Gen9 Graphics Engine
Intel® Movidius™ Neural Compute Stick and Intel® RealSense™ depth sensor