Vide
Vide
Building a high-performance, AI-powered scanning platform that powers Vide’s “Scan & Play” video experience at events.
Introduction
Vide approached Emyoli with a critical mission: develop a fully proprietary, high-quality “Scan & Play” video engine that could replace their expensive and limiting third-party provider. The new solution had to meet the same performance levels as a platform built over years by a large development team — all within a significantly shorter timeframe.
Description
Vide’s core business relies on fast, accurate, and reliable QR-based scanning at events such as weddings and parties. Guests scan personalized tags and instantly receive a curated video experience. Emyoli was tasked with architecting a complete, high-performance scanning system that would work seamlessly in real-world event conditions, without depending on external vendors.
Technical Challenges
The biggest challenge was achieving exceptional scan quality and speed in unpredictable environments like wedding halls. Poor lighting, weak internet connectivity, and constant motion all impact performance. Our team needed to ensure real-time accuracy, minimal latency, and flawless detection — otherwise users abandon the system and request refunds. Building such a system from scratch, in months rather than years, required deep expertise in AI, computer vision, and performance engineering.
Technology Stack
The solution combines AI-powered image processing, optimized computer vision algorithms, real-time quality enhancement, cloud-based performance pipelines, and a robust backend built for scale. A custom tuning layer ensures reliable scanning in low light and noisy environments. The stack was designed to be modular, fast, and fully owned by Vide — eliminating all vendor dependency.
PHP
Laravel
Postgres DB
Mongo DB
Docker files
AWS Lambda
Jenkins
React.js
Material UI
Swift
Kotlin
Microsoft Azure
Project Timeline
Planning and Analysis
Development and Implementation
Testing & Launching
Planning and Analysis
- Deep research into Vide’s previous provider, technical benchmarking, architecture planning, and rapid POC validation.
Development and Implementation
- Full development of the scanning engine, AI models, back-end infrastructure, and event-optimized performance features.
Testing & Launching
- Extensive stress-testing across real wedding venues, environmental simulations, refinement cycles, and final rollout.
Team involved
The project was executed by a senior cross-functional Emyoli team including AI engineers, computer vision specialists, full-stack developers, QA engineers, and a dedicated project manager ensuring constant communication and fast iteration.
Project Results
After a year of development, Vide received a scanning platform that not only replaced their previous provider — it surpassed it. Performance became faster, higher quality, more stable in event conditions, and fully under Vide’s ownership. The new engine significantly reduced operational costs, improved guest satisfaction, and strengthened Vide’s competitive advantage in the event-tech market.
Guy Grassiano, Founder of Vide
“Replacing such a core component of our business was one of the hardest decisions we’ve ever made. Emyoli exceeded every expectation — the quality, the speed, the professionalism, and the communication were outstanding. The solution they delivered performs even better than the one built by a large team over many years. Emyoli has truly become a trusted partner.”
