DOCK-Y develops an AI-powered sensor suite for micro-mobility devices, incorporating computer vision and sensor fusion to enhance rider safety through features like intelligent speed limiting and pedestrian detection. The technology addresses urban mobility challenges by providing both active and passive safety systems for e-bikes, e-scooters, and motorbikes, ensuring a secure commuting experience.
Funding
Funding not disclosed
Founders
Product
Problem
Micro-mobility devices like e-bikes and e-scooters face safety challenges in urban environments, leading to accidents and injuries. Current safety systems are often inadequate or too expensive for widespread adoption in these vehicles.
Solution
DOCK-Y develops an AI-powered sensor suite designed to enhance the safety of micro-mobility devices. By integrating computer vision and sensor fusion, the system provides both active and passive safety features for e-bikes, e-scooters, and motorbikes. The sensor suite offers capabilities such as intelligent speed limiting, pedestrian detection, and blind-spot assistance, addressing key safety concerns for riders in urban settings. DOCK-Y's technology aims to provide a secure commuting experience by incorporating human perception at its core and offering lean algorithms tailored for two-wheeler use cases.
Target Audience
The primary target audience includes original equipment manufacturers (OEMs) and fleet operators of e-bikes, e-scooters, and motorbikes seeking to enhance the safety features of their vehicles.
Features
- Intelligent Speed Limiter: Dynamically adjusts speed based on environmental conditions and regulations.
- Smart Object Tracker: Identifies and tracks surrounding objects to prevent collisions.
- Pedestrian Detection: Alerts riders to the presence of pedestrians in their path.
- Autonomous Assisted Braking: Automatically applies brakes to avoid or mitigate accidents.
- Blind-spot Assist: Detects vehicles in the rider's blind spot and provides warnings.
- 360-degree Sensing: Provides comprehensive awareness of the surroundings.
- Crowd Density Detection: Assesses crowd density to adjust speed and safety measures accordingly.