RoadEntertainment

Inspiration

As we venture into the age of autonomous vehicles, the possibilities for in-car entertainment and productivity are expansive. Imagine setting your destination in a self-driving car, and being greeted with a tailored list of movie or video recommendations to make your journey more enjoyable. This is where our project comes in, providing passengers with a personalized entertainment experience during their autonomous vehicle journey.

What it does

Our project, RoadEntertainment, revolutionizes in-car entertainment for autonomous vehicles. Once the destination is set, the user is presented with an option to choose between entertainment and productivity. If they opt for entertainment, our AI-driven program analyzes the passenger's age using an in-car camera and suggests appropriate movies or videos accordingly. For instance, if a child is present, the system recommends family-friendly content. Furthermore, our program considers the remaining travel time to ensure the recommended video duration aligns with the journey length.

How we built it

We started by developing the AI algorithm that utilizes the car's camera to estimate the age of the passenger. Next, we integrated a content filtering system that categorizes videos based on their appropriateness for different age groups. To align the video duration with the remaining travel time, we incorporated the car's GPS and time estimation system. Lastly, we designed a user-friendly interface that seamlessly combines the entertainment or productivity options with the car's autonomous driving system.

Challenges we ran into

Creating a system that accurately estimates a passenger's age based on camera footage was a technical challenge, as was developing an algorithm that filters and recommends content in realtime. Additionally, integrating the various components of our system—age estimation, content filtering, travel time calculation, and user interface—required meticulous attention to detail to ensure a smooth, seamless experience for the user.

Accomplishments that we're proud of

We are proud to have developed a solution that not only enhances the in-car experience for passengers in autonomous vehicles but also utilizes cutting-edge AI technology to provide tailored content recommendations. Our system is not only functional but also user-friendly, ensuring that passengers can effortlessly access and enjoy their preferred entertainment or productivity options during their journey.

What we learned

Through this project, we learned the intricacies of developing AI algorithms for real-time data processing and the importance of creating a seamless integration between different system components. We also gained insights into the potential of autonomous vehicles as a platform for delivering personalized entertainment and productivity solutions.

What's next for RoadEntertainment

Moving forward, we aim to refine our AI algorithm to enhance its age estimation accuracy further. Additionally, we plan to expand our content filtering system to include more categories, ensuring a broader range of options for all age groups. Lastly, we are exploring partnerships with content providers to diversify the range of movies and videos available for recommendation.

Built With

• google-maps
• mediapipe
• python
• react