Handwritten Text Recognition
Based on deep learning and recursive projection segmentation technology, AbcPen’s image text recognition technology is able to accurately identify fuzzy and deformed handwritten characters, as well as pictures with sharply inclined angles of text. AbcPen is the world's first company to implement arbitrarily complex mathematical formulas.
Image Recognition and Retrieval
Based on the deep learning system, our image retrieval technology can effectively identify the target subject in complex shooting environments, analyze the content semantics of the image such as color, texture, layout and other information. With established relevant image knowledge base and efficient, practical and fast image retrieval. this technology can be applied to areas such as artificial intelligence medical and smart agriculture.
Human Body Recognition
Accurately identify the inherent physiological characteristics or behavioral characteristics (gait, habits, etc.) of the human body, thus provide personal identification capabilities with reference.
Multi-target Tracking System
It uses industry-leading image detection, recognition and tracking technology, and precision motion control system to achieve continuous fast tracking and capture of multiple moving targets in complex scenes.
AbcPen’s advanced natural language processing technology can accurately identify the syntactic components, comprehensively analyze the sentence structure and deeply explore the semantic relationship, therefore enable computers to understand content of text quickly and accurately, improve user's word processing efficiency and text mining and reduce labor costs. This technology can be applied to scenarios such as education (subjective correction), finance (report analysis), and agriculture (professional knowledge analysis).
Based on the industry's leading edge SEMR electromagnetic induction and dot matrix positioning technology, we are able to transform the ordered trajectory generated during dynamic writing into static Chinese character internal code data for saving as electronic documents. Together with fast transmission, smooth image, the whole process of synchronization between writing and showing on screen can be perfectly achieved. This technology suits to whiteboard teaching, office work, writing and drawing scenes.