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Rider Dome

Rider Dome develops an Advanced Rider Assistance System (ARAS) that utilizes AI and computer vision to provide real-time alerts to motorcycle riders, enhancing their awareness of critical road threats. The platform also features a Fleet Monitoring System that enables fleet managers to track safety metrics and improve operational efficiency, ultimately reducing accident rates and associated costs.

Singapore, SingaporeFounded 202118500+ followers
Updated 4 months ago

Funding

$3.3M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Motorcycle riders face significant safety risks due to limited visibility and the vulnerability associated with operating a two-wheeled vehicle. Traditional safety measures often fall short in providing real-time alerts and proactive assistance to prevent accidents. Fleet managers lack comprehensive tools to monitor rider behavior and mitigate risks effectively.

Solution

Rider Dome offers an Advanced Rider Assistance System (ARAS) that leverages AI and computer vision to provide motorcycle riders with real-time alerts regarding potential road hazards. The system uses front and rear cameras, along with sensor fusion, to analyze the surroundings and detect threats 360 degrees around the rider. For fleet managers, Rider Dome provides a Fleet Monitoring Platform that aggregates real-time data, enabling them to monitor rider behavior, track safety metrics, and improve operational efficiency. The platform helps reduce accident rates and associated costs by providing insights into rider safety profiles and scoring metrics.

Target Audience

The primary target audience includes motorcycle riders seeking enhanced safety features and fleet managers aiming to improve rider safety and reduce operational costs.

Features

  • Real-time alerts for critical threats via computer vision and AI analysis of road conditions.
  • 360-degree monitoring using front and rear wide-angle cameras and sensor fusion.
  • Fleet Monitoring Platform for real-time data aggregation and safety metric tracking.
  • Rider safety scoring system to identify and address risky driving habits.
  • Integration with existing fleet management solutions.
  • Automatic Rescue Alert triggered in case of emergencies.
  • Data Analytics platform providing visibility on rider's driving habits.
  • GDPR compliance for data privacy.
This profile is AI-generated and may contain inaccuracies.