Use Deep Learning models that are pre-trained using "real-world" footage from security cameras, because "real-life" is seldom picture perfect.
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Generic AI recognition tools are often trained using high-quality photos from professional photography such as photos of scenery, people posing or product shots. These images don’t accurately represent security camera footage and fail to produce useful results.
Nirovision's Computer Vision models are trained using security camera footage to get real-world accuracy. Security cameras are typically mounted in high places and need to track subjects moving across a scene. By focusing on what matters most, such as people and vehicles, our models aren’t distracted by random objects that do not matter.
With no hardware to manage, our REST API will get you building with AI capabilities in no time. Our cloud infrastructure already processes millions and millions of images each day. Dedicated close proximity infrastructure is available for enterprise customers to provide low latency access.