Outsource Data Science and Computer Vision Software Development
What is Computer Vision and How it Helps Businesses Succeed
BroutonLab is a data science company with top-level expertise in AI software development. Our data scientists use various deep learning, machine learning, and computer vision techniques to solve real business problems.
We create computer vision software that help you achieve your objectives. Whether you need to prevent cost overruns, increase profits, or overcome operational bottlenecks.
What is Computer Vision?
Computer vision applications in software development are capturing attention from various sectors.
How it works?
Algorithms of computer vision aim at replicating humans’ ability to see and process visual information using artificial intelligence.
Computer vision technology enables machines to process the visual content (photos, videos, etc.). They analyze it and create an appropriate output.
Deep Learning in Computer Vision
The iterative learning process of neural networks makes it possible to recognize and classify images. With each training cycle, the high-level algorithms of neural networks become more accurate. They can detect objects, perform segmentation, and solve other problems. Convolutional neural networks learn to make decisions based on the visual data.
Facial Recognition and Object Recognition
The iterative learning process of neural networks makes it possible to recognize and classify images. With each training cycle, the high-level algorithms of neural networks become more accurate. They can detect objects, perform segmentation, and solve other problems.
Computer vision predictive analytics and therapy in the medical field
We create computer vision algorithms to detect the slightest presence of a condition and diagnose with a top-level of precision.
Computer vision in the financial sector
We help automate manual and repetitive tasks with data capture and e xtraction from unstructured documents. Facial recognition in banking enables digital verification and helps prevent fraud.
Questions? Ask Us Now!
