Recognize specific objects on the image
through multiple learning of specific data. (e.g. fingerprint)
Deep Learning Based Object Recognition
Quickly recognize multiple objects in photos or documents with high accuracy. Artificial neural networks can be selectively used depending on the type of object to be recognized.
Recognize certain objects in an image or document and the coordinates can be used for post processing, collecting, etc.
Fingerprint Extraction and Processing
Artificial neural networks with fingerprint data can be used to extract fingerprint data recorded on important documents or ID cards. This can be used to delete unnecessary fingerprint information, etc.
Quick Recognition Speed
Recognizes, extracts, and returns coordinates of multiple objects in one frame swiftly. Object recognition can be performed not only for a large number of images or documents but also for live video, on a frame-by-frame basis.
High Compatibility and Extensibility
By adding training data, user can construct an object-aware neural network for their purposes. A wide range of extensibility is provided, not only for people, animals and objects, but also for document formats and native forms.
Field of Usage Examples
Autonomous Process and Analysis
Personal Information Protection
Image Analysis and Statistics