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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 McNamaraは、NetAppの製品およびソリューション マーケティング担当シニア リーダーであり、25年以上にわたってデータ管理とクラウド ストレージ マーケティングに携わってきました。10年以上前にNetAppに入社する前は、Adaptec、Dell EMC、HPEで勤務していました。また、主要なチーム リーダーとして、ファーストパーティのクラウド ストレージ サービスや、業界初のクラウド対応AI/MLソリューション(NetApp)、ユニファイド スケールアウトおよびハイブリッド クラウド ストレージ システムおよびソフトウェア(NetApp)、iSCSIおよびSASストレージ システムおよびソフトウェア(Adaptec)、ファイバチャネル ストレージ システム(EMC CLARiX)の発売を推進しました。過去には、Fibre Channel Industry Associationのマーケティング分野の議長を務めたこともあり、Ethernet Technology Summitの諮問会議や、Ethernet Allianceの現役メンバーとして、業界誌に頻繁に寄稿しているほか、各種イベントにスピーカーとして数多く登壇しています。さらに、FriesenPressより『Scale-Out Storage - The Next Frontier in Enterprise Data Management』というタイトルの書籍を発行しているほか、KaposによりB2B製品マーケティング担当トップ50に選出されたこともあります。Mike McNamaraのすべての投稿を見る

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