Andrea Sacerdoti

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.

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.

For enterprises productivity:

• Speeds up the learning of technicians in the field
• Eliminates the travel costs of experts
• Decreases time to resolution and the risk of errors