RyDOT Recognizer is a unique AI solution to recognition of objects, texts, scenes, human faces and activities in images and videos, detect any inappropriate content with computer vision technology and it is enables pattern recognition or shapes to be identified. Our RyDOT Recognizer platform can be used across different industry verticals to enhance productivity, customer experience, reduce operating costs, increase business efficiency and improve security. We offer multiple vision intelligence capabilities in one platform.
Annotation module offers a variety of functions for precisely annotating images that will aid in the creation of a dataset that can be used to create and train an AI engine.
Offline Analytics provides facial detection for similarity in matching and facial comparison, as well as card detection for government ID cards and text extraction.
Real-Time Analytics offers instant detection of people, vehicles, overcrowding, and number plates on live camera streams, with real-time alerts for each detection.
Video Monitoring system allows user to visualize multiple real-time streaming camera simultaneously in one platform. It allows easy way to keep a track over multiple camera of one premises.
Recognizer can detect the person and count the number of persons identified in the photos and videos. It can identify and count people in real time cameras to track people traffic and identify peak hours.
Photo verification, in which many photographs with different variant of the same person can be detected using facial recognition and matching the face with multiple images to determine the similar match.
ID recognition is a technology that can identify various government ID cards. It also has the capability to extract the key information from the ID cards, making tedious data entry tasks easier and more efficient.
PPE Detection identifies and generate alerts in real-time if individuals in industrial areas are not wearing required protective gear, such as helmet, safety jackets, and shoes.
The over crowd detection detects crowd and generates alerts when the crowd density exceeds a user-specified threshold. This model is ideal for public safety applications, such as monitoring crowds at events or in public places.
Recognizer can detect the person and count the number of persons identified in the photos and videos. It can identify and count people in real time cameras to track people traffic and identify peak hours.
