We have core AI model compression technology for applications in independent clients such as mobile and IoT devices. The technologies can be applied broadly to mobility, drone and robotics.
NOTA AI solutions can work on edge devices (mobile, IoT devices) individually not on a server or cloud.
NOTA AI solutions does not need any server/network cost for operating AI models because of NOTA on-device ML techniques.
NOTA AI solutions are highly robust on latency issue with state-of-the-art performance because of NOTA AI model compression techniques.
Solve real-world problems using a variety of vision technologies based on deep learning.
Image Classification problem, which is the task of assigning an input image one label from a fixed set of categories. This is one of the core problems in Computer Vision that, despite its simplicity, has a large variety of practical applications.
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos. Object detection has applications in many areas of computer vision, including image retrieval and video surveillance.
In computer vision, segmentation is the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.
Object tracking is the process of locating a moving object over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control, medical imaging and video editing.