PROJECT BASIRA: A SYSTEM ARCHITECTURE FOR AI-POWERED SMART GLASSES WITH SPATIAL MEMORY FOR ENVIRONMENTAL AWARENESS AND SAFE NAVIGATION FOR VISUALLY IMPAIRED INDIVIDUALS

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PROJECT BASIRA presents a proposed system architecture for AI-powered smart glasses designed to support environmental awareness, spatial understanding, and safer navigation for visually impaired individuals. The architecture integrates multimodal environmental perception, semantic scene understanding, persistent spatial memory, temporal context, distance and motion estimation, context-aware risk analysis, intelligent alert prioritization, voice interaction, haptic feedback, facility recognition, indoor spatial awareness, adaptive assistance, and emergency-oriented functions. The proposed framework combines sensing, perception, environmental representation, spatial memory, motion and proximity reasoning, risk analysis, information prioritization, and multimodal human-computer interaction within a unified architecture. Its central contribution is the integration of environmental perception with persistent spatial context and contextual risk prioritization rather than the introduction of a new individual computer-vision algorithm. A substantial portion of BASIRA has been implemented as a browser-based Three.js 3D simulation and Digital-Twin-Inspired evaluation environment. The prototype represents metric three-dimensional urban and indoor scenarios containing roads, sidewalks, buildings, hospitals, schools, pharmacies, libraries, elevators, stairs, gates, pedestrians, vehicles, traffic lights, pedestrian crossings, tactile paths, environmental landmarks, weather and visibility variations, construction zones, and emergency scenarios. The simulation incorporates spatial memory, temporal snapshots, place memory, voice interaction, speech synthesis, haptic feedback, line-of-sight analysis, occlusion analysis, and a rule-based risk engine incorporating distance, object motion, approach direction, and heuristic time-to-collision. BASIRA v1.0 defines the system architecture, eleven functional intelligence engines, spatial-memory representation, dynamic risk-analysis formulation, context-aware assistance mechanisms, privacy-oriented processing principles, simulation methodology, and a reproducible framework for future quantitative evaluation. Proposed evaluation metrics include object detection, distance estimation, navigation safety, risk recognition, spatial-memory retrieval, voice interaction, computational performance, system latency, and usability. This release is a technical research preprint and proposed system architecture. The current implementation is a research prototype and simulation environment. Simulated confidence values, predefined thresholds, theoretical benchmarks, and proposed performance targets are not presented as experimentally measured accuracy or validated real-world performance. Physical deployment, real-world safety, clinical effectiveness, and user-centered performance require future validation using real hardware, real datasets, controlled experiments, and ethically approved human-subject studies. Project Details: Project Version: BASIRA v1.0 Initial Release Date: September 3, 2026 Document Type: System Architecture & Proposed Conceptual Framework Document Status: Technical Research Preprint / Proposed System Architecture

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