The article investigates the application of WebAssembly (WASM) technology for implementing high-performance media content analysis directly on the client side. The relevance is driven by the growth in volumes of user-generated content and the need to process it while preserving data privacy and reducing the load on server infrastructure. The scientific novelty lies in the development and description of a client application architecture for automatic detection of photosensitive epilepsy (PSE) triggers in video, which demonstrates the use of WASM to solve mission-critical tasks in the field of digital accessibility (WCAG 2.2). The work describes a prototype, PSE Video Analytics Platform, developed in Rust and compiled to WebAssembly. Special attention is given to a comparative performance analysis of the WASM module and analogous JavaScript solutions. The objective is to prove the effectiveness and viability of the client-side approach for complex computational tasks. To this end, methods of prototyping, comparative benchmarking, and systems analysis are employed. The conclusion outlines the advantages of the approach: radical reduction of server costs, assurance of data confidentiality, and the ability to provide the user with immediate feedback. The article will be useful to web developers, software architects, and digital accessibility specialists.

WebAssembly, WASM, video analysis, client-side computation, Rustdigital accessibility, WCAG 2.2, photosensitive epilepsy, web application performance, serverless

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