From duplicate detection to ad selection
The system detects similar images, tags objects and scenes, helps avoid duplicate banners and selects advertising based on user behavior.
Computer vision for advertising
Advertising anti-plagiarism and targeting optimization
JolSoftware built a computer-vision system for advertising anti-plagiarism, image similarity and targeting decisions. The company portfolio reports 97% image-identification accuracy, a reduction in cost and time of up to 90%, and throughput of 10,000 requests per second. The documented stack includes Python, C++, scikit and OpenCV.
97%image identification accuracy
up to 90%cost and time reduction
10k/sdocumented throughput
FAQ
Questions buyers ask before the first call
Which results are documented?+
The portfolio reports 97% identification accuracy, up to 90% reduction in cost and time, and throughput of 10,000 requests per second.
Next step
Bring the product context. We will bring the right team.
Share the users, workflow and constraints. We will review the brief before discussing scope.