Computer-vision pipelines using the Qwen vision-language model on dual Tesla V100 GPUs to recognise images and automatically verify advertising placements.
Verifying that advertisements appear correctly and as agreed is traditionally a manual task: someone has to look at images and confirm what is shown. At volume this is slow, inconsistent and hard to scale, and generic image tools struggle with the variety of real-world ad content.
Built GPU-accelerated computer-vision pipelines using the Qwen vision-language model, running on two Tesla V100 32GB GPUs. The pipelines perform image recognition and ad verification, using the model's understanding of visual content to check what appears in each image instead of relying on manual review.
Ad verification and image recognition moved from manual inspection to an automated, GPU-accelerated pipeline, making checks faster and more consistent and allowing verification to scale with image volume.
Manual ad verification replaced by an automated vision-language pipeline running on 2x Tesla V100 32GB GPUs.