Computer Vision

Computer vision is a field of artificial intelligence that gives computers the ability to “see” and understand the world around them. These systems typically use cameras to capture images of the world. The images are then processed by algorithms that identify objects, features, and patterns in the images. This information can then be used to perform tasks such as object detection, tracking, and classification.

Computer vision is a complex field that requires a deep understanding of both computer science and mathematics. This emerging field has the potential to revolutionize the way we interact with the world around us. Amazon Go stores are an emerging example of how Computer Vision technology can disrupt industries. Using what they call Just Walk Out technology, customers grab what they want and leave without scanning items or checking out – eliminating not only cashiers, nut the checkout process entirely.

 

Common Tasks Performed Using Computer Vision

Object Detection
Object detection is the task of identifying and locating objects in an image or video. This can be used for a variety of purposes, such as counting the number of people in a crowd, the number of items on a shelf, detecting traffic signs, or identifying faces.

Object Tracking
Object tracking is the task of following the movement of an object over time. This can be used for a variety of purposes, such as tracking the movement of animals in the wild or tracking the movement of vehicles in traffic.

Facial Recognition
Facial recognition is the task of identifying a person’s face. This can be used for a variety of purposes, such as unlocking phones, verifying identities, or detecting criminals.

Medical Imaging
Medical imaging is the use of computer vision to analyze medical images, such as X-rays, MRIs, and CT scans. This can be used to diagnose diseases, plan surgeries, and monitor patients’ health.

Self-Driving Cars
Self-driving cars use computer vision to navigate the world and avoid obstacles. This is a complex task that requires the car to be able to identify objects, track their movement, and make decisions about how to avoid them.

 

Computer vision is a rapidly growing field with many potential applications in healthcare.

Surgery – Computer vision can be used to guide surgeons during surgery. This can be done by providing real-time information about the patient’s anatomy or by helping the surgeon to navigate through the surgical field. For example, computer vision can be used to help surgeons to perform minimally invasive surgery or to remove tumors with greater precision.

Patient Monitoring – Computer vision can be used to monitor patients’ health. This can be done by tracking patients’ vital signs or by identifying changes in their behavior. For example, computer vision can be used to monitor patients at home to detect movement changes.

Drug Discovery – Computer vision can be used to discover new drugs. This can be done by analyzing images of molecules or by identifying patterns in drug interactions. For example, computer vision can be used to identify new targets for drug development or to design new drugs that are more effective and less toxic.

 

These are just a few of the many ways that computer vision can be impactful in healthcare. As the technology continues to develop, we can expect to see even more innovative and exciting applications for computer vision in the years to come.