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Seeing is believing: Five ways computer vision applications are being used around you

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Mike McNamara
Mike McNamara

Computer vision is a field of AI that enables computers to see, observe, and understand. By applying machine learning or deep learning models to ingested images, computers can classify objects in images. When the computer understands what it’s seeing, it can respond appropriately—like unlocking your smartphone when it recognizes your face.

With 99% accuracy, computer vision applications have expanded beyond facial recognition. They’re now changing how we live and work. In nearly every aspect of your day-to-day life, computer vision is everywhere you look—even if you haven’t noticed it.

#1: Self-driving vehicles

How does a self-driving car know when to stop or swerve? Computer vision identifies pedestrians, sees stoplights, and assesses road conditions.

#2: The operating room

Computer vision uses real-time images of surgical sponges to accurately monitor blood loss and prevent hemorrhaging.

#3: The airport

No passport? No problem. Computer vision systems inside airports take your photo to determine who you are and whether you pose a safety threat. No more digging through your bags to find your ID. (Though we still recommend bringing your passport to be on the safe side!)

#4: The bank

At many institutions, computer vision makes opening a bank account an easy, two-step process: Take a selfie and join a short video call. No waiting in line. No piles of paperwork.

#5: The farm

Farmers are using computer vision to find out which weeds, bugs, and diseases are damaging their crops. They also use it to detect disease in their livestock, keeping the animals, farmers, and future meat consumers safe.

Build your computer vision foundation

Ready to build an AI infrastructure with crystal-clear vision? Our solutions for AI simplify data management across your data pipeline, from edge to core to cloud:

  • Remove bottlenecks to enable more efficient data collection, speed up AI workloads, and smooth cloud integration.
  • Support seamless, cost-effective data movement across a hybrid multicloud environment.
  • Reduce complexity and expand your AI opportunities and success.

An out-of-sight computer vision infrastructure is closer than ever. We can’t give you crystal-clear vision, but we can give you the tools you need to accelerate and improve the accuracy of your computer vision applications.

Do you like what you’re hearing? Check out our e-book for more about computer vision machine learning and our solutions for AI. To learn more about NetApp® AI solutions, visit netapp.com/ai.

Mike McNamara

Mike McNamara

Mike McNamara는 NetApp의 제품 및 솔루션 마케팅 분야의 고위 경영진이며 25년이 넘는 데이터 관리 및 클라우드 스토리지 마케팅 경험을 보유하고 있습니다. 10년 전 NetApp에 입사하기에 앞서, McNamara는 Adaptec, Dell EMC, HPE에서 근무했습니다. McNamara는 자사 클라우드 스토리지 오퍼링 및 업계 최초의 클라우드 연결형 AI/ML 솔루션(NetApp), 유니파이드 스케일아웃 및 하이브리드 클라우드 스토리지 시스템 및 소프트웨어(NetApp), iSCSI 및 SAS 스토리지 시스템 및 소프트웨어(Adaptec), 파이버 채널 스토리지 시스템(EMC CLARiiON)의 출시를 이끈 핵심 팀 리더입니다.McNamara는 Fibre Channel Industry Association에서 마케팅 의장을 역임한 경력 외에도 Ethernet Technology Summit Conference Advisory Board와 Ethernet Alliance에서 회원으로 활동하고 있으며, 업계 저널의 고정 기고자로 활동하며 여러 행사에서 연설을 맡기도 했습니다. McNamara는 또한 FriesenPress에서 'Scale-Out Storage - The Next Frontier in Enterprise Data Management'라는 책을 출간했으며, Kapos가 선정한 눈 여겨 볼 상위 50대 B2B 제품 마케터에 이름을 올렸습니다.Mike McNamara의 모든 게시물 보기

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Seeing is believing: Five ways computer vision applications are being used around you