Computer Vision Solutions
Computer Vision is a branch of artificial intelligence that enables machines to see, understand, and process images and videos in a similar way to humans. By applying advanced algorithms and models, computers can analyze and extract valuable information from images and videos to make decisions or perform specific tasks. This technology is used in a variety of applications, from real-time object detection to medical diagnosis.
Hire Experienced Computer Vision Solutions
Yovirt is committed to providing the best Computer Vision Solutions. Our approach is based on applying advanced artificial intelligence technologies and innovative algorithms to deliver cutting-edge solutions in the field of computer vision. Trust us to provide you with customized and efficient solutions that meet your specific needs in the field of computer vision.
Why choose a computer visions service?
Computer vision tech captures visual data from cameras or advanced systems using Time-of-Flight, radio frequency, infrared, or LIDAR sensors. The data is then analyzed by Convolutional Neural Networks (CNNs), which simulate the behavior of neurons through interconnected nodes and edges.
Object Detection
Object Detection is a Computer Vision Service that aims to detect various objects in photos, such as cats, dogs, cars, bikes, humans, and more. This is achieved by extracting features from pixels and applying deep learning algorithms to recognize patterns. One of the primary applications of object detection is face recognition
Image and Video Pre-Processing
Advanced Computer Vision techniques, powered by neural networks, enable image transformations that traditional image processing algorithms cannot achieve. For instance, using neural networks, we can artificially manipulate images by increasing or decreasing the number of trees without causing noticeable artificial changes.
Scene Segmentation
Traditional object detection methods involve selecting the object's position using a rectangle. However, a more advanced technique involves outlining the object by slightly changing its color, which segments the image into different objects, resulting in an image similar to stained glass. This technology will be widely used in autonomous navigation and radiology, particularly for outlining cancerous changes in tissue.
