White paper

Computer vision, a branch of artificial intelligence, enables machines to understand and interpret visual information like images and videos from an AI-enabled camera. By harnessing computer vision and machine learning techniques, especially neural networks and deep learning, computer vision can transform a camera into a purpose-specific vision camera that can recognize optical characters, classify images, and identify objects.

Computer vision technology is significantly changing how cameras work and what they can be used for. Rather than relying on a human to monitor a video stream, the computer vision application can interpret the visual data in real time and generate responses based on what it detects in its field of view. Without human intervention, the AI application can replace manual monitoring efforts by extracting only the most important information, depending on the use case. 

Recent research from O’Reilly reveals that most AI adopters are still in the early stages, with only 18% having deployed applications in production.  In this white paper, we will explore computer vision in depth, outline the pain points that warehouse and logistics operators experience, and how to tackle these challenges with computer vision solutions to ensure they can streamline their processes and scale with success.