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Computer Vision for Engineering and Science Specialization

Description

Cameras are an integral component in many new technologies. Autonomous systems use cameras to navigate their environment, while doctors use small cameras to help guide minimally invasive surgical techniques. It is essential that engineers use computer vision techniques to extract information from these types of images and videos. In this specialization, you’ll gain the computer vision skills underpinning many of today’s top jobs. Specifically, you’ll:   Perform object detection  Train image classification models  Use features to track objects and align images  Detect motion in video  Implement multi-object tracking  You will use MATLAB throughout this specialization.  MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your computer vision tasks.  You will be provided free access to MATLAB for the duration of the specialization to complete your work. To be successful in this specialization, it will help to have some prior image processing experience.  If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization. Applied Learning Project In course 1, you will stitch together images from the Mars Curiosity Rover. In course 2, you will train machine learning models to classify traffic signs and detect them in images and video. In course 3, you will use deep learning models to detect objects. You will also apply optical flow to detect moving objects and apply tracking algorithms to track objects as they move in a video. Read more

Microcredentials

Coursera

Free to Audit

1 month at 10 hours a week

Intermediate

Paid Certificate

Computer Vision for Engineering and Science Specialization

Affiliate notice

  • Type
    Microcredentials
  • Provider
    Coursera
  • Pricing
    Free to Audit
  • Duration
    1 month at 10 hours a week
  • Difficulty
    Intermediate
  • Certificate
    Paid Certificate

Cameras are an integral component in many new technologies. Autonomous systems use cameras to navigate their environment, while doctors use small cameras to help guide minimally invasive surgical techniques. It is essential that engineers use computer vision techniques to extract information from these types of images and videos. In this specialization, you’ll gain the computer vision skills underpinning many of today’s top jobs. Specifically, you’ll:   Perform object detection  Train image classification models  Use features to track objects and align images  Detect motion in video  Implement multi-object tracking  You will use MATLAB throughout this specialization.  MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your computer vision tasks.  You will be provided free access to MATLAB for the duration of the specialization to complete your work. To be successful in this specialization, it will help to have some prior image processing experience.  If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization. Applied Learning Project In course 1, you will stitch together images from the Mars Curiosity Rover. In course 2, you will train machine learning models to classify traffic signs and detect them in images and video. In course 3, you will use deep learning models to detect objects. You will also apply optical flow to detect moving objects and apply tracking algorithms to track objects as they move in a video. Read more