Case Study: DeepAd Project achieves 94% accurate targeted advertising with Cloudian

DeepAd Project achieves 94% ad targeting accuracy with Cloudian

DeepAd Project, an innovative advertising initiative, sought to revolutionize out-of-home advertising by dynamically targeting drivers on a busy Tokyo expressway. The challenge was to accurately identify specific types of vehicles in real-time and display tailored content, moving beyond generic billboard messaging. Cloudian, alongside technology partners, provided the core object storage and developed the application code to enable this smart data platform.

The solution implemented by Cloudian involved a deep learning system that used camera footage to identify car models with 94% accuracy in half a second, triggering targeted ads based on vehicle classification. This architecture leveraged Cloudian's HyperStore servers and algorithms to turn big data into actionable insights in real time. The result was a highly effective, real-time targeting system that proved the potential for AI-driven advertising and opened doors for other monitoring and security use cases.