跳轉至主要內容

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

Seeing is believing: Five ways computer vision applications  - Hero Image
Contents

分享本頁

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 是 NetApp 產品和解決方案行銷的資深主管,在資料管理和雲端儲存行銷領域擁有超過 25 年的豐富經驗。在十年前加入 NetApp 之前,Mike 曾任職於 Adaptec、Dell EMC 和 HPE 等公司。Mike 是推出第一方雲端儲存產品和業界第一款雲端連線 AI/ML 解決方案 (NetApp)、統一化橫向擴充和混合雲儲存系統與軟體 (NetApp)、iSCSI 和 SAS 儲存系統與軟體 (Adaptec),以及光纖通道儲存系統 (EMC CLARiiON) 的重要團隊領導者。此外他曾經擔任「光纖通道產業協會 (Fibre Channel Industry Association,FCIA)」的行銷主席,也是乙太網路技術高峰會議顧問委員會、乙太網路聯盟的成員,現在仍定期為業界期刊撰稿,並經常擔任活動講師。Mike 還透過 FriesenPress 出版了一本名為《橫向擴充儲存設備 - 企業資料管理的未來樣貌》的書籍,並被 Kapos 列為值得關注的 50 名 B2B 產品行銷人員。查看 Mike McNamara 的所有文章

後續步驟

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