Applications

Monitor the time vehicles spend at scheduled stops without moving to increase efficiency.

Real-world applications of computer vision in Smart City use cases: The most popular and valuable deep learning systems for Smart Cities.

Area-based people counting in real-time using common surveillance cameras.

Explore how computer vision infrastructure assists in the development and improvement of renewable energy and resources.

AI vision technology helps organizations in the power and utilities industry to increase operational efficiency, safety, and reliability.

Unsafe equipment use turns essential tools into severe liabilities.

Computer vision applications in many of theses areas are still a nascent technology, and its potential is only now beginning to be explored for environmental

Exit obstruction detection is part of a broader shift in manufacturing from reactive safety compliance to proactive risk prevention.

Computer vision in healthcare powers applications in medical imaging, disease detection, automated assessment, and computer-aided diagnosis.

Detect specific human poses such as Lying Down, Sitting, Standing automatically.

Detect and count different types of vehicles for traffic analysis.

Computer vision in pharmaceutical applications leverages deep learning technology for visual inspection, quality control, and process automation.