Deep Vision AI excels at providing intelligent image and video analysis technology that facilitates new ways of understanding and analyzing imaging data. Applications of Deep Vision AI’s technology products can be found in cities and public venues, traffic and transportation, retail, healthcare and more. The breadth of this application space is evidence that video analysis is finding more and richer applications as the technology matures and becomes easier to implement and manage. Deep Vision AI’s goal is to power existing or new camera infrastructure at scale with computer vision, turning video into actionable analytics and insights for safety and security, and business intelligence.
Through automated video analysis, for example, the Deep Vision AI Vehicle recognition module can detect several unique vehicles using a video feed. It then determines the vehicles’ make, model, color, and year. This information provides an understanding of traffic patterns from analysis of vehicle counts and notifications based on detecting vehicles of interest for customer service and public safety enhancement. When applied to retail, Deep Vision AI can improve associate productivity and the customer curbside pickup experience by proactively providing an alert that identifies the customer and reports arrival through vehicle identification.
Similarly, the Deep Vision AI Facial Analysis Module analyzes counts of people, age, and gender characteristics to help retailers understand foot traffic, audiences, and their changing demographics over time in specific areas. This module can also enable facial matches of known subjects of interest to identify individuals and ensure safety and security. Deep Vision AI’s technology can also detect people in the field of view of thermal imaging cameras to estimate elevated body temperatures for public safety applications.