MetaDesign Solutions
MetaDesign SolutionsSeamless AI-powered transformation of live video streams—real-time object detection and modification at broadcast scale, engineered by MetaDesign Solutions.
Overview
MetaDesign Solutions successfully developed a high-performance, AI-driven platform for a leading European television broadcasting and production company. The system is designed to process live video streams in real time, identify and blur selected objects with AI precision, and reconstruct the video output with virtually zero latency. Built for scale and reliability, the platform ensures uninterrupted streaming with intelligent failover and optimized GPU resource utilization.
about the client
The client is a prominent European media conglomerate known for producing world-renowned entertainment formats and operating multiple national TV channels and a proprietary OTT platform. With its headquarters in Europe, the company has a strong presence in the broadcast and digital media space, delivering thousands of hours of primetime content across several continents.
The company continues to expand its global footprint through strategic acquisitions and diversified ventures into the digital and sports domains. Known for its cutting-edge broadcasting standards and technology-driven media innovation, the client sought a solution that could enhance viewer privacy and regulatory compliance during live broadcasts without compromising stream quality or performance.
Industry Domain
Service Category (Service-line)
AI/ML
OpenCV
Computer Vision
Video Processing
GPU
YOLO
Technologies Used
GPU
Python
AI/ML
YOLO
OpenCV
FFMPEG
Challenges
Developing an AI model capable of accurately detecting and identifying objects in real-time video streams
Ensuring negligible delay between the incoming and outgoing video feeds while applying modifications
Building a high-throughput pipeline to deconstruct and reconstruct video frames without losing quality or frames
Designing a failover mechanism to maintain an uninterrupted stream in case of system hiccups
Scaling the system to support multiple concurrent video streams while maintaining GPU efficiency
Solution Scope and Services
MetaDesign Solutions architected and delivered a robust AI-powered solution that takes live video as input, detects designated objects using custom-trained YOLO models, and applies real-time blurring through OpenCV-based transformations. The frame stream is then recompiled and rendered with imperceptible delay, maintaining the broadcast’s integrity.
The entire solution was built on a Python-powered stack and deployed over a dedicated on-premise GPU server farm to ensure optimal performance. Special focus was given to stream reliability, with a smart failover strategy and stream health monitoring integrated into the pipeline. This helped maintain a consistent viewing experience across all scenarios, even at scale.
Real-time Video Stream Processing at Scale
The platform was engineered to process and reconstruct high-frame-rate video streams in real time. Using Python and OpenCV, frame-by-frame manipulation was achieved with millisecond precision, enabling the broadcaster to edit content on the fly without any noticeable delay for the viewer.
Optimized Object Detection using YOLO Models
Leveraging the power of YOLO (You Only Look Once) object detection models, the AI pipeline achieved fast and accurate detection of pre-defined object categories. These models were custom-trained and optimized for performance on GPU hardware, ensuring real-time inference without frame drops.
Robust Deployment on On-Premise GPU Farm
By choosing on-premise GPU deployment, the solution gave the broadcaster full control over data and performance, avoiding latency and security concerns often associated with cloud. The GPU infrastructure was configured for scalability and high availability, making the platform production-grade from day one.
Results
The collaboration between MetaDesign Solutions and the client resulted in a cutting-edge, AI-enabled video processing platform that addressed a critical need in modern broadcasting—content compliance in real time. The developed system empowered the broadcaster to apply live edits without latency, ensuring both privacy and regulatory adherence.
Moreover, the use of on-premise GPU infrastructure provided a cost-effective and performant foundation, enabling the client to handle high-quality live broadcasts with full control over the compute environment. The system’s scalability and robustness now allow the client to confidently handle future broadcasting requirements, including international expansion and increased stream loads.
The innovative mobile app has streamlined data collection, enhanced user engagement, and provided real-time feedback, enabling athletes to focus on refining their technique. The successful implementation of this solution highlights MetaDesign Solutions’ expertise in IoT, mobile app development, and innovative product design, setting a benchmark for similar initiatives.