LOUD – Live Outdoor Urban Data

Often overlooked, noise pollution has a high impact on our quality of life. Detect and classify city noises and ensure compliance with existing city ordinances while helping to plan for the future.
Live Outdoor Urban Data “LOUD” is an audio machine learning platform built with VANTIQ and AWS SageMaker for detection of noise pollution, empowering citizens and officials to create a better city.
  • Real-time analysis of city noise including perceived decibel levels and noise classification
  • Allows city officials to respond to noise violations in real time and track violations with collaboration tickets
  • Leverages AWS SageMaker for Machine Learning
  • Analyzes noise levels on the edge devices
  • Allows public to report noise violations, matching time and location of violation with sensor data
  • Integrates edge devices with VANTIQ API and AWS
  • Supports multiple customers including companies, city managers, and citizens
  • Supports future use cases with open data API and 311 integration

Cities across the globe are undergoing rapid changes and growth. They are becoming smarter, not just in the technology used, but how city planners design the spaces where we live, work, and play.
In order to properly plan a city, the rules that govern it, and the ability to enforce the laws, city managers need the right tools and data.

productOps LOUD “Live Outdoor Urban Data” tackles the problems that cities face around the noise we create and how it impacts others. For over 100 years city noise issues have largely been seen as a division between economic areas in a city. More affluent neighborhoods have historically had more noise ordinances and higher rates of violation enforcement.

LOUD provides a way to measure city noise and make that data available to the public. It records outside noise levels in perceived decibels and identifies the source of the noise (music, construction, vehicles, industrial equipment, etc.)

In addition to measuring and classifying city noise, LOUD can respond to violation events in real time by using VANTIQ collaborations. Administrators can create rules in VANTIQ that identify a violation and then create collaboration tickets. The VANTIQ client app also allows citizens to report tickets helping make the automated machine learning smarter.


LOUD has four major components:
1) Edge devices that record sound and measurements
2) VANTIQ Modelo platform to process noise and manage workflows
3) AWS SageMaker machine learning to classify noise
4) VANTIQ Client to create dashboards and mobile applications for users to interact with the data and collaborate in real-time.

Edge Devices

We are using a series of audio sensors to measure noise levels at various locations. Each location has two sensors, one to measure the inside noise level and one for the external noise level. This helps determine the source of the noise by comparing the two, especially in locations that are partly open to the outside or that have poor noise isolation. In addition, the outside sensor also records the actual sound and saves it in a special AWS S3 bucket used by AWS SageMaker.


The Edge Devices send their data to the VANTIQ platform. This updates VANTIQ with real-time updates for each location as well as storing historic information for each sensor. Applications in VANTIQ determine if the audio event is above the noise threshold and if so, sends that data to AWS SageMaker for ML classification. If the classification, duration, and noise level meet the criteria of a violation, then a Violation Event occurs and triggers a VANTIQ collaboration.

AWS SageMaker

LOUD utilizes SageMaker to process the audio recordings and determine what the predominant noise is in the recording. This information is then sent back to VANTIQ. In order to have accurate classification, productOps created training models based on crowd sourced pre-recorded city noises. The models are continually updated and learn as more data is processed.


There are two VANTIQ clients that create real-time data visualizations and user interactions.

The first is the Administrator Dashboard that allows a manager to see what the current noise levels and classifications are at each location. Users can view a map of the city with updated information or drill down to a specific location to get more details and historic data and trends. It also lists recent violations and their status.

There is also a mobile app that uses VANTIQs mobile client to allow city managers and citizens to collaborate on creating and responding to violations.

  • Improve city quality of life
  • Help companies reduce number of compliance issues and noise violations
  • Help cities plan for the future with actual data points
  • Provide people with real-time and historic data on the noise of the city, helping residents make better decisions on where to buy or lease a building
  • Provide cities with data that can help low-income and low-health related areas
  • Improve health - noise over 60 dB can cause stress and elevated heart rates
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Founded in 2008, productOps is a full-service software development firm with a focus on delivering quantifiable business and operational benefits for its clients. Organized and behaving as a consultancy, the firm includes the specialized practices of Design, Architecture and Data to better integrate these areas of expertise into the systems and products it develops. An Advanced Amazon Consulting Partner, productOps has been building AWS-based solutions for clients since its inception.

Today the company has a staff of 50, a balance of Silicon Valley veterans and recent graduates from UC Santa Cruz. Committed to building long-term relationships with innovative clients, productOps works with organizations of all types and sizes, from local startups to globally-distributed Fortune 50 companies including Nokia, New England Journal of Medicine, AT&T, Ithaka, California Community Colleges, and Conde Nast.

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