La Savista

An Application to identify objects using BLE/NFC

services

IoT App Development

industry

IoT / Accessibility

duration

6 Months

country

Italy

La Savista

Project Overview

Imagine being unable to see the intricate details of a museum exhibit, or trying to navigate an unfamiliar hiking trail in a foreign country. For millions of people worldwide, these experiences present significant challenges. This is where La savista steps in, an innovative application that bridges the gap between physical spaces and accessible information. La savista uses smart technology (Bluetooth and NFC) to create an invisible guide that helps users explore their surroundings independently. Think of it as having a knowledgeable friend who whispers information about nearby objects and helps navigate paths.

Overview image 1Overview image 2

Challenges

BLE Signal Calibration
Achieving precise distance measurement using BLE signal strength required constant calibration due to variations in BLE hardware across different devices.
Environmental factors caused signal interference, which made regular recalibration essential to ensure accuracy.
Maintaining reliable performance across diverse hardware configurations was an ongoing challenge.
Data Transmission Delays
Managing data transmission delays inherent to BLE technology was a significant challenge.
These occasional delays had the potential to disrupt the flow of information and impact user experience.
It was crucial to develop strategies that could mitigate interruptions and maintain a continuous flow of data.

Our Solution

Signal Calibration & Filtering
We implemented a calibration process to account for variations in signal strength caused by different BLE hardware interfaces.
Signal-filtering algorithms were introduced to minimize the impact of environmental interference on distance calculations.
This ensured accurate and reliable distance measurements across various devices and environments.
Data Resilience & Prediction
We established mechanisms to store and resend data when needed, ensuring uninterrupted information delivery.
Predictive strategies were implemented to identify and mitigate potential synchronization delays before they occur.
This approach maintained a continuous and reliable data flow for the end user.

Features Implemented

La Savista delivers a focused set of features designed to make physical spaces accessible through BLE and NFC technology.

1. Smart Object Recognition

As visitors move through a space, La savista automatically detects nearby items of interest. For example, when a museum visitor approaches a Renaissance painting, their phone gently alerts them and can describe the artwork in detail.

Smart Object Recognition

2. Digital Trail Guide

For outdoor adventures, La savista creates easy-to-follow digital paths. Visitors can tap their phones at designated points along a trail to receive location-specific guidance and information about their surroundings.

Digital Trail Guide

3. Voice Guidance

Everything La savista discovers can be read aloud through clear voice narration, making information accessible to everyone, regardless of visual ability.

Voice Guidance

Technology Stack

La Savista is built using a combination of IoT protocols and modern web and mobile frameworks for cross-platform delivery.

Wireless Technology

BLE (Bluetooth Low Energy)

Wireless Technology

NFC Reader

Mobile Framework

Flutter

Backend Framework

PHP (Laravel)

Database

MySQL

Cloud Server

Kubernetes

Conclusion

La Savista demonstrates how BLE and NFC technology can transform the way people interact with physical spaces. By providing automatic object recognition, guided trail navigation, and voice narration, the app makes museums, hiking trails, and public venues accessible to users with visual impairments and visitors in unfamiliar environments. Built with Flutter for cross-platform reach and backed by Laravel and Kubernetes, the platform delivers a reliable, real-time experience across iOS and Android.

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