The Challenge

URSEC faced a significant challenge in the inefficient manual analysis of national music playback times and the duration of advertising spots on radio and television. This process, essential for ensuring media quality and regulatory compliance, consumed excessive time and resources. The lack of automation hindered the effectiveness of regulations and the enforcement of quality standards. URSEC needed a technological solution to streamline this process, making it faster, more accurate, and efficient.

Overlapping tablet mockups showing monitoring system data table UI.
Overlapping tablet mockups showing monitoring dashboard UI with graph and alarms.

The Solution

DigitalProjex played a key role in developing a web application that incorporates an artificial intelligence algorithm designed to analyze digital audio signals. Using deep learning techniques, this algorithm efficiently monitors and controls national music playback times and advertising durations across radio and television. The automated solution provides continuous and scalable analysis, eliminating the need for high operational costs. Through advanced machine learning and signal analysis, the application automatically classifies and divides audio and video content. It captures data, generates statistics, and sends compliance alerts, offering detailed insights such as hourly advertising statistics and the percentage of national music broadcasted.

The Result

DigitalProjex’s solution has successfully automated the analysis of music and advertising, significantly improving the efficiency of URSEC's regulatory processes. The new system provides continuous monitoring, saving time and resources while ensuring regulatory compliance. This solution not only enhances transparency and control but also ensures the protection of national music authors' rights by guaranteeing minimum broadcast times. Additionally, it optimizes the regulation of advertising times, contributing to better media quality and fairness in broadcasting.

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