AI Software & System Development
Advanced AI Development Technology
NOVIUS is not only a contracted developer, but owning in-house developed application and system. In particular, in 2021, our \”real-time video conversion technology (patented)\” was certified as an Inception Partner by NVIDIA (global company that develops GPU for PC), it has formed partnership and alliance with outstanding US-based global AI/IT company such as Microsoft, IBM, Intel.
We specialize in tailored software using machine learning, deep learning, and other artificial intelligence technologies to meet the needs of our clients.
We Provide The Tool To Solve A Wide Variety Of Difficult Issues With Our Advanced AI Development Technology.
For those who are considering developing systems and software using AI technology, we can solve problems in many segments of industry by using deep learning and image analysis technology, which is our most proud expertise along with AI designing service and consulting.
AI SOFTWARE & SYSTEM DEVELOPMENT
We specialize in tailored software using machine learning, deep learning, and other artificial intelligence technologies to meet the needs of our clients.
CONSULTATION ON DEVELOPING SYSTEM
The reasons that we can do these services is to have been accumulated advanced technology. We can provide advice on AI algorithm and logic when you are in the development process, and propose the most efficient method of design to meet your requirements
EXPLANATION OF DEVELOPMENT TASK
Image Classification
This task recognizes objects in images and videos and classifies them according to which category they belong. It can, in essence, be applied to any objects.
Object Detection
This task detects the category to which an object where an image belongs.Object detection can be performed on images and videos.
Real-Time
This task performs image transformation in real time. For example, this task can be applied to 3D conversion of video images, style conversions and color change.
Segmentation (extraction of regions from an image)
Classify images in pixel units rather than recognition of multiple objects from a single image.
