Enabling AI Vision at the Edge

Computer vision has made tremendous advances in the last several years due to the proliferation of AI technology. The intersection of big data and massive parallel computing changed the way in which machines are programmed to understand unstructured 2D and 3D data, such as video feeds from cameras. Instead of writing a set of rules, programmers use deep convolutional neural network algorithms to enable a machine to generalize a solution from a large, labelled dataset. This new technique, AI vision, has enabled machines to reach super-human capabilities in accurately identifying objects in an image. AI vision makes the camera one of many intelligent sensors. AI vision is now deployed in many new applications such as

• Autonomous vehicles
• Smart cities and agriculture
• Industrial and warehouse robotics
• Delivery drones and robotic cleaners
• Augmented reality
• Smart retail and smart home