Student Project · Seed Round 2025

Seeing the world through AI.

Project Axis is building AI-powered smart glasses for the visually impaired — real-time scene recognition, voice feedback, and navigation assistance embedded in a lightweight wearable frame. Powered by ESP32-S3 Sense and OpenAI.

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AI VISION ACTIVE ESP32-S3 SENSE
OV2640 CAMERA · ESP32-S3 SENSE MCU
OPENAI GPT-4o VISION · BLUETOOTH AUDIO
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Accuracy
<2s
Response
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Battery

253 million people live with vision impairment

0M
people worldwide are completely blind, with limited access to affordable, modern assistive technology.

Current assistive devices — white canes, guide dogs, and screen readers — are severely limited in their ability to interpret and describe visual environments in real time. They cannot identify faces, read labels, or describe scenes contextually.

Existing commercial solutions like OrCam cost upward of $4,500, placing them out of reach for the vast majority of those who need them most — especially in developing countries like Thailand, where we are based.

We believe every blind person deserves a device powered by the same AI breakthroughs reshaping the tech industry — at a price that makes it truly accessible.

39M Blind 214M Low Vision $4,500+ Commercial Devices Massively Underserved Growing Market

Smart glasses that describe reality — in real time.

01
AI Scene Recognition
OpenAI's GPT-4o Vision API interprets camera frames and narrates the environment — objects, people, text, and hazards — through bone-conduction audio in under 2 seconds.
02
Wearable Hardware
Built on the ESP32-S3 Sense with an OV2640 camera module and WiFi/BT. Custom-designed to fit inside a standard glasses frame — lightweight and discreet.
03
Voice Interaction
Users trigger AI with a single button press and ask natural language questions. "What's in front of me?" "Can you read this label?" — answered instantly via wireless audio.

Built on proven, accessible hardware & AI.

MCU

ESP32-S3 Sense

Espressif's AIoT chip with dual-core Xtensa LX7, 8MB PSRAM, and native AI acceleration. Low cost, high performance — ideal for always-on edge processing in a wearable form factor.

AI

OpenAI GPT-4o Vision

Frames are captured, JPEG-compressed, and sent to OpenAI's Vision API over WiFi. GPT-4o interprets scenes with remarkable accuracy and returns natural, context-aware audio descriptions.

CAM

OV2640 Camera Module

2MP CMOS sensor with auto-exposure and auto-white balance. Compact enough to integrate seamlessly into a glasses frame without sacrificing aesthetics or wearing comfort.

I/O

Audio & Connectivity

Bluetooth 5.0 for wireless streaming to bone-conduction headphones. WiFi for real-time OpenAI API calls. Single-button UX deliberately designed to be fully operable without sight.

Where we are.
Where we're going.

Q3 2024
✓ Completed
Proof of Concept
Core AI pipeline validated. ESP32-S3 Sense connected end-to-end to OpenAI Vision API on breadboard. Object recognition and scene narration working reliably.
Q1 2025
✓ Completed
Wearable Prototype v0.1
Hardware miniaturized and integrated into a modified glasses frame. Voice interaction and Bluetooth audio working. Field-tested with 3 visually impaired volunteer users.
Q3 2025
→ Seeking Funding
Pilot Program & v0.2 Hardware
Custom PCB design, improved battery life, lighter frame. Partnership with 2 local NGOs to run a 20-person blind user pilot. Collect structured feedback for product-market fit.
Q2 2026
Target
Production-Ready v1.0
CE/FCC certification, companion mobile app, custom ASIC exploration. Target retail price under $300. First launch in Southeast Asian markets, then global expansion.

Students building
for real impact.

A
Student Founder
Hardware Lead
Embedded systems specialist. Designed the ESP32-S3 circuit board and physical prototype. Experienced in PCB design, microcontroller firmware, and sensor integration.
B
Student Founder
AI & Software Lead
Built the OpenAI API pipeline, real-time image capture firmware, and voice I/O stack. Background in Python, C++, and machine learning from academic and personal projects.
C
Student Founder
Product & UX Lead
Led user research and inclusive design thinking. Conducted interviews with visually impaired users to shape the interaction model, use cases, and overall product vision.

Full team bios and academic advisor details available upon investor request.

Seed round to take prototype to pilot.

$50K
Seed Target — Equity or Grant
We have a working prototype and validated technology stack. This round funds our v0.2 hardware production, a structured pilot program, and 6 months of API and operational costs to reach clear product-market fit.
Allocation of Funds
Hardware & PCB Production 40%
AI API & Cloud Costs 20%
Pilot Program & NGO 20%
Software Development 12%
Operations & Legal 8%
What investors receive
Equity stake or convertible note — terms open to discussion
Monthly spending transparency reports
Early prototype access and live demo sessions
Direct advisory role in product direction

Let's build the future of assistive tech together.

We're actively seeking investors, advisors, and NGO partners. If you believe AI can transform lives for the blind, we'd love to show you our working prototype.

projectaxis.net ↗ [email protected]