Develops an augmented reality-based in-vehicle onboarding application for mobile devices and infotainment systems, utilizing machine learning and object recognition to provide context-sensitive guidance and feature explanations. This solution reduces driver confusion and enhances safety by offering real-time tips, alerts, and a simplified text-based manual, ensuring users understand and effectively use advanced vehicle functions from the moment they start driving.
Funding
$327K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Modern vehicles have increasingly complex control systems, leading to driver confusion and underutilization of advanced features. Traditional owner's manuals are often lengthy and difficult to digest, resulting in drivers being unaware of or unable to effectively use their vehicle's capabilities. This knowledge gap can negatively impact safety and the overall driving experience.
Solution
Bamboo Apps offers an augmented reality (AR)-enhanced in-vehicle onboarding (IVO) application designed to streamline driver familiarization with new vehicles. The application uses a smartphone camera or the in-vehicle infotainment system to provide context-sensitive guidance and explanations of vehicle features. By pointing the device at a specific part of the car, the driver receives a pop-up with a short explanation of how it works. A voice assistant delivers contextual tips based on the vehicle's state, the environment, and the driver's behavior. The app also includes a simplified text-based manual, segmented into small chunks, making it easy to learn about the vehicle's functionality.
Target Audience
The primary target audience includes automotive OEMs, vehicle rental services, and car dealerships seeking to improve customer onboarding, reduce driver confusion, and enhance road safety.
Features
- Augmented reality-based feature recognition and explanation using the device camera.
- Context-sensitive voice assistant providing real-time tips and alerts based on driving conditions and vehicle status.
- Simplified, text-based manual with segmented information for easy comprehension.
- Integration with in-vehicle infotainment systems for a hands-free experience.
- Machine learning-powered object recognition for accurate feature identification.
- CAN-bus emulation for realistic vehicle data simulation during development.
- Compatibility with Android Automotive OS and Google Car Library.