Deep learning-powered vision systems for face attendance, traffic analytics, image classification, and more—automating detection, recognition, and analytics in real environments.
Supports security, operations, and research across real-world vision applications.
Uses live video to detect, recognize, and log attendance or access of employees, students, or visitors, replacing manual sign-in.
Analyzes live traffic video for vehicle counting, classification, ANPR, and congestion metrics. Powers smart city dashboards and automates toll collection.
Classifies images of birds, products, or other objects for research, retail, or cataloging.
Generates lifelike talking avatars or presenter videos from static images and audio, for use in educational, social, or entertainment content.