A leader in brand visibility analysis, our client specializes in detecting logos within images to gauge their exposure during specific broadcasts. Seeking to enhance the precision and efficiency of their services, they engaged STX Next to explore the potential of Artificial Intelligence, particularly Computer Vision techniques, for automating their core processes.
The primary goal was to transition from a semi-manual logo assessment process to a fully automated, AI-driven workflow. This shift aimed to improve accuracy and efficiency, allowing the company to serve a larger client base and expedite product delivery.
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Through a collaborative Proof of Concept project, STX Next assisted the client in developing an effective AI system to streamline their logo detection and classification tasks. Our approach divided the workflow into two main components:
We focused on creating a reliable system to automatically identify logos in video frames. Using the data provided by the client, our objective was to train the system efficiently with 6,924 images and their corresponding labels.
By combining human expertise and Machine Learning, we fine-tuned this approach leading to impressive precision in recognizing logos (88,19% F1-Score and 93.2% mAP 50).
Our next step involved categorizing detected logos into recognizable brand names. Leveraging advanced neural network models, we could accurately convert logo images into unique identifiers.
By introducing a diverse dataset, including public resources, we ensured the system's flexibility and adaptability. This refined the system to achieve a 90.28% accuracy in classifying logos into their respective brand categories.
Our collaboration has resulted in significant advantages, allowing the client to elevate their service offerings and market reach.
Increased efficiency
The AI-driven automation significantly compresses the time required for analyzing broadcast images, enabling faster delivery of comprehensive insights and reports to clients.
Better accuracy
Implementing cutting-edge Computer Vision technologies enhances the precision of both logo detection and exposure assessment, ensuring clients receive dependable sponsorship evaluation data.
Cost savings
By curtailing manual labor in the logo analysis process, sponsorship costs are reduced, allowing the company to allocate resources more strategically.
Scalability
The new AI solution effectively manages a more extensive range of video content and adapts to diverse broadcast formats, supporting the company in widening their service capabilities and reaching broader markets.
Our collaboration has resulted in significant advantages, allowing the client to elevate their service offerings and market reach.
Increased efficiency
The AI-driven automation significantly compresses the time required for analyzing broadcast images, enabling faster delivery of comprehensive insights and reports to clients.
Better accuracy
Implementing cutting-edge Computer Vision technologies enhances the precision of both logo detection and exposure assessment, ensuring clients receive dependable sponsorship evaluation data.
Cost savings
By curtailing manual labor in the logo analysis process, sponsorship costs are reduced, allowing the company to allocate resources more strategically.
Scalability
The new AI solution effectively manages a more extensive range of video content and adapts to diverse broadcast formats, supporting the company in widening their service capabilities and reaching broader markets.
Schedule a call with our experts to discover the benefits of partnering with STX Next.
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