Tech Reviews with Anat - NOA by biped - ATIA2025

🔍 Product Review #5 – NOA by biped.ai

Exciting developments continue in the world of assistive technology! Today, I’m sharing information about NOA by biped, a new mobility aid designed to enhance spatial awareness for people who are blind or have low vision. Listen to the COO of biped, Marco Trujillo, explain NOAs form factor and later see it in action with several of its US distributors. NOA is currently available in Europe and the US. Let’s dive in!

🏷️ What is it?
NOA by biped is a wearable mobility assistant that uses AI-powered obstacle detection and navigation support to help people who are blind or have low vision move more safely and confidently.

👥 Who is it for?
NOA can be a good solution for people who are blind or have low vision and want additional spatial awareness while navigating. It is not a replacement for a white cane or a guide dog but rather a complementary tool that provides early warnings about obstacles.

🔧 What does it do?
Uses 3D computer vision to detect obstacles in real time.
Provides audio and haptic feedback to warn users of potential hazards.
Features GPS navigation for outdoor travel assistance.
Offers customizable alerts based on the user’s mobility preferences.

🎒 What is the form factor?
NOA is a shoulder-worn device with built-in cameras and sensors. It is designed to be worn comfortably over clothing, allowing users to keep their hands free.

⚙️ How does it work?
NOA scans the environment using its cameras and AI-powered software.
It identifies obstacles such as poles, steps, or overhanging objects.
The user receives audio cues through bone conduction headphones or haptic feedback via the device itself.
GPS integration provides directional guidance for outdoor navigation.
While NOA is evolving, it represents a major step toward integrating AI-powered mobility assistance into everyday navigation.

🔹 Have you tried or worked with NOA by biped? Share your thoughts.

#AssistiveTechnology #Blind #LowVision #Mobility #AI #ObstacleDetection #ObstacleAvoidance #Navigation