The AWS DeepRacer looks like a traditional toy car at first glance, but hides some advanced technology under the surface to offer users a new kind of driving experience. Featuring a 1/18th scale and an autonomous design, the car utilizes machine learning technology to let users experience racing without restriction and learn with hands-on interaction. Users can train in a 3D simulation environment and, once ready, can start using the physical vehicle to experience real-world driving.
The AWS DeepRacer from Amazon will allow users to create their very own tracks for testing and racing in the Amazon SageMaker to further reinforce the customization aspect. Users can also take to the league functionality to race others from all around the world to bring about a new kind of International racing experience.
3D Racing Simulator Toys
The AWS DeepRacer Sports a Completely Autonomous Design
Trend Themes
1. Autonomous Toy Racing Cars - Opportunity to develop advanced autonomous technology in the toy industry.
2. Machine Learning in Toys - Chance to incorporate machine learning technology into educational toys.
3. Customizable Racing Tracks - Potential to create a market for customizable racing tracks in the toy industry.
Industry Implications
1. Toy Industry - Emerging market for autonomous racing cars with educational aspects.
2. Technology Industry - Opportunity for technology companies to innovate with machine learning in toys.
3. Gaming Industry - Potential to create a new category of racing games with interactive physical and virtual components.