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DOCK-Y Develops Advanced Rider Assist System (ARAS) for Micro-Mobility

DOCK-Y engineers ARAS, an AI-powered active safety system for e-scooters and e-bikes using computer vision, machine learning, and sensor fusion.

DOCK-Y Develops Advanced Rider Assist System (ARAS) for Micro-Mobility
NewsFeatured11 Jul 2023

DOCK-Y engineers ARAS, an AI-powered active safety system for e-scooters and e-bikes using computer vision, machine learning, and sensor fusion.

About this news

Product Announcement

DOCK-Y stands at the confluence of micro-mobility, safety, and advanced technology, dedicated to making compact modes of transportation safer, smarter, and more secure. We have engineered the Advanced Rider Assist System (ARAS).

The Problem

The potential of the micro-mobility revolution is immense, offering compact and eco-friendly transportation solutions. However, the lack of active safety features and ARAS in current offerings stands as a formidable obstacle.

ARAS Features

  • Autonomous Braking: Automatically applies brakes when detecting potential danger
  • Intelligent Speed Limiter: Adjusts speed according to situational demands
  • Rider Alerts: Haptic, visual, and audible signals for impending threats
  • Pedestrian, Object & Crowd Detection: Recognizes objects and crowd density

Core Technology

ARAS leverages:

  • Artificial Intelligence
  • Computer Vision
  • Machine Learning
  • Sensor Fusion

Our Founder

Manish Pillay, technology-oriented executive and entrepreneur with wealth of experience from global automotive industry, leads DOCK-Y's unique approach to bringing automotive concepts to the micro-mobility market.

Partnership Opportunities

We're eager to connect with like-minded businesses interested in integrating ARAS technology into their micro-mobility solutions.

Contact: info@dock-y.com

Tags & Categories

ARASAIComputer VisionSafetyE-ScooterE-BikeEmbedded Systems

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