You would be hard-pressed to find an industry that’s progressing as fast as the life sciences. Tech like machine vision and artificial intelligence are contributing to its rapid growth and change. These technologies are morphing an industry that used to have to rely on a lot of gut instinct into one that uses real evidence to make smart decisions.
Life sciences is a large field of study that literally includes every living thing that has ever existed on earth. It covers a wide range of disciplines like biology, ecology, and pharmacology. The study of these subjects closely relates to medicine and therapy. The world’s population is growing and aging fast. Fortunately, AI and machine vision are stepping up to the task.
Artificial Intelligence Complements Machine Vision
Experts in the life sciences agree that artificial intelligence (AI) will continue to change the landscape of research and development. The general public often thinks of AI as some kind of science fiction entity or sentient synthetic life form. But in the real world, AI ranges from rule-based automation to technologies like natural language processing and deep learning.
AI algorithms mimic the cognitive functions of a human and then make decisions. AI software can derive meaning from a dataset, use historical facts to uncover patterns, use data to make predictions, and create rules on the fly.
Artificial intelligence pairs well with machine vision as variances in appearance require software to adapt to a huge number of variables. For example, searching a medical image to find an anomaly like a tumor calls on the software to find organs of shapes and sizes that vary from person to person. Then it must identify an abnormal growth based on a giant catalog.
Machine Vision’s Impact on Life Sciences
The life sciences industry is using machine vision to do everything from sequencing DNA to analyzing images to performing surgery. Machine vision can tackle the large format, high-resolution images produced by scanners faster and with more accuracy than humans. Complex software, compatible with a growing number of camera types, is able to deliver real-time results.
In addition to image analysis, machine vision works well for robotic handling tasks like positioning trays or probes. Machine vision has also become essential to devices like clinical analyzers and in-vitro diagnostic machines. Samples must be perfectly inserted and aligned for optimal testing. To meet efficiency requirements, they must also perform tasks like verifying caps aren’t missing and that no test tubes are properly filled.
The same technology that is fueling the growth of the Life Sciences can be part of your automated systems. Find out how machine inspection and measurement can boost your facility’s efficiency and drive results.