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AWS DeepRacer – Fully autonomous 1/18th scale race car for developers

AWS DeepRacer – Fully autonomous 1/18th scale race car for developers

Original price was: ₹74,999.00.Current price is: ₹63,999.00. (Inc. All Taxes And With GST Input Credit)

  • AWS DeepRacer is the fastest way for developers to get rolling with machine learning, literally. Get hands-on with a fully autonomous 1/18th scale race car driven by reinforcement learning, 3D racing simulator, and a global racing league.
  • Car – AWS DeepRacer is an autonomous 1/18th scale race car designed to test reinforcement learning (RL) models by racing on a physical track.
  • Build RL Models: You can build your own RL model for AWS DeepRacer. Building a model requires basic Python programming skills.
  • Open Source Device Software: Get started with one of six included sample projects or create your own robotics applications with DeepRacer hardware and open source device software.

Developers, start your engines

AWS DeepRacer is the fastest way to get rolling with machine learning, literally. Get hands-on with a fully autonomous 1/18th scale race car driven by reinforcement learning, 3D racing simulator, and global racing league.

In pole position to learn reinforcement learning

AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique which takes a very different approach to training models than other machine learning methods. Its super power is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.

With AWS DeepRacer, you now have a way to get hands-on with RL, experiment, and learn through autonomous driving. You can get started with the virtual car and tracks in the cloud-based 3D racing simulator, and for a real-world experience, you can deploy your trained models onto AWS DeepRacer and race your friends, or take part in the global AWS DeepRacer League. Developers, the race is on.

Car

Car

Experience the thrill of the race in the real- world when you deploy your reinforcement learning model onto AWS DeepRacer with Sensor Kit.

Simulator

Simulator

Build reinforcement learning models and train, test, and iterate quickly and easily on the track in the AWS DeepRacer 3D racing simulator.

League

League

Compete in the world’s first global, autonomous racing league, to race for prizes and glory and a chance to advance to the Championship Cup.

Get on the track to start learning right away

A new, fun way to learn reinforcement learning

AWS DeepRacer allows developers of all skill levels to get started with reinforcement learning by providing hands-on tutorials to quickly start training RL models and test them in a fun, autonomous car racing experience.

Community and competition

The AWS DeepRacer League provides an opportunity for you to meet fellow machine learning enthusiasts, online and in-person, to share ideas and insights, and to compete in time trials showcasing your skills to win prizes and glory.

Get started quickly, anywhere

With the AWS DeepRacer console and 3D racing simulator you can start training your model on the virtual track in minutes, wherever you are.

Experiment and grow

The AWS DeepRacer 3D racing simulator and car provides an ideal environment where you can test the latest reinforcement learning algorithms and simulation-to-real domain transfer methods.

Go beyond the track with open source robotics projects

Follow the Leader

Learn to deploy an object detection model that enables the AWS DeepRacer device to identify and follow an object. Extend this sample project by modifying the code to recognize other objects for your use case. Bring your own custom model, navigation logic, and add-on hardware (optional) to invent your own application.

Build fun applications (use the DeepRacer as a digital pet or to follow an object) or industrial prototypes (warehousing, manufacturing).

Under the hood

Car 18th scale 4WD with monster truck chassis
CPU Intel Atom™ Processor
Memory 4GB RAM
Storage 32GB Memory (expandable)
Wi-Fi 802.11ac
Camera 4 MP camera with MJPEG
Software Ubuntu OS 20.04.3 LTS, Intel® OpenVINO™ toolkit, ROS 2 Foxy Fitzroy
Drive Battery 7.4V/1100mAh lithium polymer
Compute Battery 13600mAh USB-C PD
Ports 4x USB-A, 1x USB-C, 1x Micro-USB, 1x HDMI
Sensors Integrated accelerometer and gyroscope

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