Mehrad Faridan مهراد فریدان
← Selected work

PHINIX: Perceptive Helper with Intelligent Navigation and Intuitive eXperience

Ximira · CES 2024Best of CES 2024Assistive technologyWearablesHaptics

Mehrad Faridan, Haptics Engineer (Part-time) at Ximira, 2023 – 2024

PHINIX hardware on a table: a purple compute box, a depth camera and a haptic bracelet made of linked 3D-printed modules

Photo: Ximira

PHINIX is an Intel-funded AI wearable from Ximira that helps blind and low-vision people navigate, read text and recognize faces on their own. AI cameras capture the surroundings in 3D, AI analyzes the scene, and PHINIX tells the wearer what matters through audio and haptic feedback. The software is open source, built on ROS 2.

My role

As Ximira’s haptics engineer, I took PHINIX from parts to a working wearable: I prototyped and assembled the hardware, and designed and 3D-printed parts for it, including pieces of the haptic bracelet. I designed the audio and voice interface that tells the wearer what the system has found, wrote software for its open-source ROS 2 stack that the team built on, and demoed PHINIX at CES 2024, where it won PC Pro’s Best of CES.

Close-up of the haptic bracelet: a row of 3D-printed vibration modules on a strap with a control unit at the end

The haptic bracelet. Photo: Ximira

How it’s built

A Luxonis OAK-D Pro depth camera worn on the chest connects to a computing hub in a backpack, built around a Framework laptop mainboard with a 12th-gen Intel Core i7. Audio reaches the wearer through a bone-conduction headset, so their ears stay open to the world, and the haptic bracelets pair vibration motors with an IMU. The software runs on Ubuntu and ROS 2, with OpenVINO, DepthAI and OpenCV for detection and Vosk for speech.

Recognition

PHINIX won PC Pro’s Best of CES 2024.

The PC Pro Best of CES 2024 award held up in front of the Ximira booth at CES, next to a mannequin wearing the PHINIX camera, backpack and haptic bracelet

Videos

Pathway recognition
Object detection
Face recognition

Demo videos: Ximira, from the PHINIX repository