AWS DeepRacer Evo and Sensor Kit now available for purchase
AWS DeepRacer is a fully autonomous 1/18th scale race car powered by reinforcement learning that gives machine learning developers of all skill levels the opportunity to learn and build their ML skills in a fun and competitive way. AWS DeepRacer Evo includes new features and capabilities that help developers to learn more about ML through the addition of sensors that enable object avoidance and head-to-head racing. Starting today, while supplies last, developers can purchase AWS DeepRacer Evo for a limited-time, discounted price of $399, a saving of $199 off the regular bundle price of $598 and the AWS DeepRacer Sensor Kit for $149, a saving of $100 off the regular price of $249. Both are available on Amazon.com for shipping in the USA only.
AWS DeepRacer is a fully autonomous 1/18th scale race car powered by reinforcement learning that gives machine learning developers of all skill levels the opportunity to learn and build their ML skills in a fun and competitive way. AWS DeepRacer Evo includes new features and capabilities that help developers to learn more about ML through the addition of sensors that enable object avoidance and head-to-head racing. Starting today, while supplies last, developers can purchase AWS DeepRacer Evo for a limited-time, discounted price of $399, a saving of $199 off the regular bundle price of $598 and the AWS DeepRacer Sensor Kit for $149, a saving of $100 off the regular price of $249. Both are available on Amazon.com for shipping in the USA only.
AWS DeepRacer Evo is the next generation in autonomous racing. It comes fully equipped with stereo cameras and LiDAR sensor to enable object avoidance and head-to-head racing, giving developers everything they need to take their racing to the next level. These additional sensors allow for the car to handle more complex environments and take actions needed for new racing experiences. In object avoidance races, developers use the sensors to detect and avoid obstacles placed on the track. In head-to-head, developers race against another DeepRacer on the same track and try to avoid it while still turning in the best lap time. Forward facing left and right cameras make up the stereo cameras, which helps the car learn depth information in images. This information can then be used to sense and avoid objects being approached on the track. The LiDAR sensor is backward facing and detects objects behind and beside the car.
The AWS DeepRacer Evo car, available on amazon.com, includes the original AWS DeepRacer car, an additional 4 megapixel camera module that forms stereo vision with the original one, a scanning LiDAR, a shell that can fit both the stereo camera and LiDAR, and a few accessories and easy-to-use installation tools for a quick installation. Developers who already own a DeepRacer can upgrade their cars to have the same capabilities as Evo with the AWS DeepRacer Sensor Kit.
Upon receiving AWS DeepRacer Evo, customers can follow the instructions on the getting started page to connect the sensors to the USB ports of the car. The latest software version will automatically detect the new sensors and show the sensor status on the device UI. Once setup is complete, the car is ready for a reinforcement learning model. To create a model leveraging the new AWS DeepRacer Evo sensors, developers can select the appropriate sensor configuration in “Your Garage,” train and evaluate the model, clone, and iterate to improve the model’s performance.
Developers that purchase the new AWS DeepRacer Evo have the opportunity to add even more fun and excitement to the start of their ML journey. Log in to learn more about AWS DeepRacer and the AWS DeepRacer League and start your machine learning journey today.