On day 1 of IBC, Setplex will be officially launching our brand new AI ad-detection module as part of our Setrix transcoder. On-stand demos and discussions with our senior team will be available throughout the show, but particularly on day 1. 

In the evolving landscape of digital broadcasting, the necessity for advanced ad management solutions has become paramount. Traditional broadcasters face the challenge of delivering relevant advertising content to diverse audiences. 

The absence of SCTE-35 markers, which facilitate targeted ad insertion and are vital for OTT and AVOD, has historically been a significant barrier. This technological gap often leads to a mismatch between the advertising content and the viewer's interests and demographics, resulting in lower viewer engagement and reduced advertising effectiveness.

Recognizing these critical pain points, Setplex is pioneering a transformative end-to-end approach to advertisement delivery in live streams and video-on-demand (VOD) services.

By harnessing sophisticated AI and machine learning algorithms, Setplex's new AI ad-detection feature enhances viewer engagement by detecting standard commercial breaks with high precision and seamlessly replacing them with targeted, programmatically served advertisements, without reliance on conventional markers, such as traditional cue tones or SCTE-35 markers. This groundbreaking innovation not only enhances ad relevance and viewer engagement, but also maximizes ad revenue through smarter, data-driven decisions.

AI Capabilities:

Real-Time Detection:
- Frame-by-Frame Analysis: The AI analyzes video streams in real time, detecting commercial content quickly and accurately.
- Deep Neural Networks: Utilized for visual content analysis, these networks excel at recognizing patterns and features within video frames.
- Deep Learning Algorithms: Handle sequential data, making them ideal for understanding the temporal aspects of advertisements.

Accurate Recognition:
- Diverse Ad Styles: Trained on vast datasets, the AI recognizes a wide range of advertisement styles and patterns across different video types and genres.
- Our ad detection system was trained on a dataset of 60,000 videos using deep neural networks, and an additional 15,000 videos for deep learning, showcasing our rigorous training process. 
- Contextual Understanding: Combines visual and temporal data to understand the context and ensure precise ad detection.

Adaptive Learning:
- Continuous Improvement: The AI system continuously learns from new data, adapting to new advertising trends and maintaining high detection accuracy.
- Feedback Loop: Utilizes a feedback mechanism where detected ad performance is reviewed, and the AI model is fine-tuned accordingly.