How Computer Vision Is Driving Innovation Across Industries
As a cofounder at Innowise Group with 20 years of experience in IT, Pavel loves helping businesses grow through IoT development.
In today’s rapidly evolving world, the transformative power of artificial intelligence (AI) is undeniable. Across various industries, AI has emerged as an indispensable tool, offering unparalleled benefits such as automation, cost reduction, time-saving and predictive capabilities. One prominent subset of AI, known as computer vision, is dedicated to empowering machines with the ability to comprehend and interpret visual data from the world around us.
A recent Grand View Research report underscores the significance of computer vision, revealing that the PC-based computer vision systems segment dominated the market with a substantial share of over 52% in 2021. This statistic speaks volumes about the widespread adoption and recognition of computer vision’s immense potential. In fact, the global computer vision market was valued at a staggering $11.22 billion in 2021, and industry experts predict it will continue its upward trajectory with a compound annual growth rate (CAGR) of 7% from 2022 to 2030.
The fusion of AI and computer vision is reshaping countless sectors, ranging from healthcare and manufacturing to retail and transportation.
Enhancing Patient Care And Diagnosis
AI and computer vision are transforming healthcare by revolutionizing patient care and diagnosis. AI-powered mobile applications and computer vision tools enable patient monitoring and identification of potential risks based on treatment and disease histories. AI can also analyze medical imaging data like MRIs and CT scans, leading to faster and more accurate diagnoses. Computer vision algorithms can detect anomalies and predict outcomes, even estimating treatment costs based on jaw images.
Computer vision aids in surgery by converting broken bone MRIs into 3D models. Surgeons can visualize these models through augmented reality glasses, improving surgical planning and reducing invasive procedures. Marking areas of interest with computer vision enhances precision and overall surgical outcomes while reducing risks.
Quality Control And Automation
Computer vision plays a vital…
