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Real-time Broadcast Music Identification and Reporting Platform

euvic.com

Media

Entertainment

Telecommunications

Challenge: Inefficient Music Tracking and Analysis

The AVPA faces challenges in efficiently tracking and analyzing music played on radio and television broadcasts. Manual tracking is time-consuming and prone to errors. There's a need for a robust, automated system to identify songs, generate usage statistics, and provide actionable insights to its members, particularly regarding AirPlay reporting and legal compliance.

About the Client

A professional association representing audio and video producers, broadcasters, and related industry stakeholders. They seek to provide valuable data and insights into music usage in broadcast media.

Project Goals

Develop a system for real-time identification of music played on radio and television broadcasts.
Create a web portal for AVPA members to access detailed music recognition statistics and charts.
Automate the generation of periodic AirPlay reports.
Enhance audio pattern recognition capabilities through an advanced Echoprint algorithm.
Establish a scalable and reliable infrastructure to handle high volumes of audio data.
Provide 24/7 monitoring and support for the system.

System Functionality

Real-time audio stream monitoring
Automated music identification using Echoprint algorithm
Data storage of recognized tracks and metadata
Web portal for data visualization and reporting
Automated AirPlay report generation
System monitoring and alert system
User management and access control

Technology Preferences

Angular.js

TypeScript

ASP.NET Core 8

SQL Server

LMDB

FFmpeg

RabbitMQ

OpenTelemetry

Grafana/Loki/Jaeger

Required Integrations

Broadcast station stream metadata feeds
Potential integration with existing AVPA member databases (future phase)

Non-Functional Requirements

High Scalability (ability to handle increasing volume of streams and data)
High Performance (low latency for real-time recognition)
High Availability (24/7 uptime)
Data Security (protection of track data and user information)
Reliability (accurate and consistent music identification)

Expected Business Impact

This project will empower the AVPA and its members with valuable data-driven insights into broadcast music usage. This will support informed decision-making related to music licensing, copyright compliance, and market analysis. The system's scalability and automation will significantly reduce operational costs and improve the efficiency of music tracking and reporting. The enhanced Echoprint algorithm and fast LMDB database will ensure accurate and timely results, leading to increased value for AVPA members.