bCreatiq Lab: Vision AI Smart

bCreatiq Lab: Vision AI Smart Glasses | Edge-Computing Hardware Prototype

Role: Lead AI Hardware Engineer & Computer Vision Developer

Category: Edge AI, Hardware Prototyping, Computer Vision, Embedded Systems

A lightweight, privacy-first wearable Smart Glasses prototype designed to process real-time Computer Vision models entirely on the edge (on-device processing) for zero latency and maximum privacy.

Key Features & Technical Highlights

Edge AI & Zero-Cloud Latency: Processes neural networks directly on local hardware without sending video feeds to external cloud servers, guaranteeing zero latency and data privacy.

Real-Time Object & Text Detection: Runs lightweight computer vision models (such as YOLOv8-Nano) to identify objects, text, and environmental data directly within the wearer's field of view.

Micro-HUD Projection Integration: Engineered to project critical Heads-Up Display (HUD) telemetry and visual cues directly onto the lens.

B2B Enterprise Applications: Purpose-built prototype for warehouse inventory tracking, security surveillance, and accessibility assistance.

Hardware & Technical Specifications

Processing Unit (MCU): ESP32-S3 Dual-Core 240MHz Processor

Memory & Storage: 8MB PSRAM for real-time frame buffering

Camera Sensor: OV2640 2MP High-Efficiency Module

Power Architecture: 3.7V LiPo 500mAh Rechargeable Setup

AI Model & Performance: YOLOv8-Nano (24.5 FPS, ~42ms inference time, Edge mode)

Results & Impact

Cloud Independence: Proves that high-speed computer vision can run on compact microcontrollers without active internet connectivity.

Hardware-Software Integration: Successfully bridges deep learning software architecture with physical wearable circuitry.