I’m Andrea Sacerdoti, a Senior iOS Engineer with over 7 years of experience delivering native apps, internal frameworks, and developer tooling. I’m passionate about clean architecture, testability, and efficient CI/CD pipelines, and I enjoy turning product ideas into robust, scalable software solutions. I thrive in collaborative environments and have led teams in both co-located and fully remote setups, delivering value for large-scale B2C and enterprise clients.
My background spans SwiftUI and UIKit, MVVM, and Swift Concurrency, with hands-on delivery and a focus on performance, accessibility, and maintainable code. I also enjoy building tooling and frameworks that improve developer velocity and code quality across mobile ecosystems.
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This application uses artificial intelligence and the device’s camera to recognize objects and artworks in real time.
The project was developed to support accessible visits in museums and cultural spaces, helping users explore objects and artworks through visual recognition technologies. By pointing the camera at specific elements, the app can identify them and provide immediate feedback.
The system is designed to assist users while visiting cultural environments, with particular attention to accessibility, including support for people with visual impairments or cognitive difficulties.
The application currently operates with a predefined set of objects and sample images used to demonstrate the system’s recognition capabilities.
Features
• Real-time object recognition using the device camera
• AI-based visual identification
• Designed for museums and cultural environments
• Supports accessible exploration of artworks and objects
• Experimental system demonstrating computer vision technologies
The application is intended for demonstration and testing purposes in controlled environments and specific scenarios.
- Speeds up the learning of technicians in the field
- Eliminates the travel costs of experts
- Decreases time to resolution and the risk of errors
Eye4Task allows field operators to perform complex tasks supported by remote experts reducing training costs, accidents, and human errors.
It provides technicians and experts with a series of useful tools to speed up workflows and decision-making processes.
Workforces can chat, video call, follow checklist, procedures, and work instruction, share docs with the Support Room, take geo-referenced photos, send annotations in AR.
Regardless of their know-how, field operators can perform every task quickly and safely anywhere in the world with no need for a senior business trip.
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