Venue Noise Levels

Description

This feature allows users to see venues' historic ambient noise levels anytime. Silencio offers noise- level insights into millions of restaurants and hotels worldwide. Silencio’s community has created the world’s most comprehensive venue noise level data bank.

Select from Millions of Venue Check-Ins Globally

The Problem We Are Solving

Have you ever wondered how loud a restaurant is before going? Have you ever wondered if you could get a quiet hotel the next time you book one online? With Silencio’s hyperlocal noise level check-in data, these problems will become a thing of the past.

User Utility

• View restaurant noise levels: Discover quiet, moderate, or loud restaurants close to you.

• Find quiet hotels: Filter for quiet hotels locally or at specific destinations.

• Explore noise levels at other venues: Check the noise levels of cafes, gyms, public areas, libraries, and more.

Commercial Use

• Noise level insights: Access noise level data on millions of venues worldwide.

• Places of interest: Understand patterns and trends, predict future trends, and make informed decisions on how noise affects your business.

In-App Use Cases: Find and Compare Quiet Venues Nearby

How is the Dataset Collected?

If you would like to contribute to the venue check-in data set, please follow these steps:

Step 1 Start a venue check-in via the Silencio mobile app at any available venue worldwide.

Step 2 Measure the current noise levels in the venue for 15 seconds. After finalizing the measurement, please tell us how crowded the place is, how loud you perceive it to be, and whether you are sitting inside or outside. GPS is used to verify the location to ensure the venue’s measurements are accurate.

Step 3 Claim your in-app rewards!

The more reviews people contribute across different times and days, the more accurate the overview of a venue’s noise history and expected noise levels becomes. Similar to Google reviews, each review enhances the accuracy of the noise profile for that venue. By contributing, you help others discover quieter, more moderate places for making meaningful connections.

Venue Check-In Data Collection Flow

Data Commercialization Model

Our data is sold via API calls (visit our website for more information).

Target Customers

Restaurant booking platforms (such as OpenTable, Yelp, Tripadvisor, ResDiary, Eat App, Toast, The Fork, etc. ), hotel booking platforms (Booking.com, Expedia, Kayak, Agoda, etc.), map providers (Google, Apple, Lightbox, Mapbox, etc.), and data aggregators (AWS, Veraset, Placer.ai, Oracle, etc.).

Worth Knowing

• Worldwide, the majority of complaints in hotels are noise complaints.

• Restaurants lose around 10% of their revenue due to excessive noise.

• We will soon enhance our dataset’s coverage and predictive capabilities using AI.

• If a Silencio user cannot find the venue they are in, they can suggest creating a new venue by providing the necessary information via the app. This is essentially valuable information for point of interest (POI) data providers, as they can increase the number of locations in their datasets and freshen the data.

• User consent and a hash of the reading are brought on-chain, making our data verifiable and creating a premium for our data among buyers. All measurements are verifiable on the chain.

• This dataset creates additional value for the geolocation data market (valued at $20.6 billion, with a 13.4% compound annual growth rate [CAGR]) and the POI market (valued at $250 million with an 8.9% CAGR). Silencio collects latitude and longitude coordinates with each noise-level stream that is delivered to accurately geolocate the reading, enabling the collection and storage of hyper-local data. Although this geospatial data is a by-product, it has significant commercial value. Existing data buyers are excited about using web3 to crowdsource this data, as we do so in compliance with the strictest privacy laws. All data is anonymized during the collection and commercialization process.